{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "intro-md",
   "metadata": {},
   "source": [
    "# Benchmark: AutoCarver vs. optbinning vs. KBinsDiscretizer\n",
    "\n",
    "This notebook runs the three binning libraries side-by-side on two public datasets:\n",
    "\n",
    "1. **German Credit** — binary classification, mixed numeric / categorical features, 1,000 rows.\n",
    "2. **California Housing** — regression, all-numeric features, 20,640 rows.\n",
    "\n",
    "For each library and dataset, we report:\n",
    "\n",
    "- **`fit` and `transform` wall-clock** (seconds)\n",
    "- **Downstream-model score** — AUC for binary, R² for regression — using a linear model (logistic regression / ridge) on the one-hot-encoded bin output\n",
    "- **`train` → `test` score drop** as a coarse proxy for drift sensitivity\n",
    "\n",
    "All three libraries see the same `train + dev` data and are evaluated on the same held-out `test`. AutoCarver uses the dev sample for its built-in robustness veto; optbinning and KBinsDiscretizer don't have a dev-set concept and so treat the union of train + dev as one pooled training set — which is the comparison practitioners actually run.\n",
    "\n",
    "**This is not an IV / Tschuprow's T leaderboard.** Those metrics structurally favour the library whose objective they are. The downstream-model score is the metric a real scorecard team would use to pick a binner.\n",
    "\n",
    "Numbers come from a single run on a single machine with a fixed seed; treat them as illustrative, not as authoritative benchmark figures. Re-run on your own data before drawing conclusions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "setup-md",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "imports",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import warnings\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import fetch_california_housing, fetch_openml\n",
    "from sklearn.linear_model import LogisticRegression, Ridge\n",
    "from sklearn.metrics import r2_score, roc_auc_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "\n",
    "from AutoCarver import BinaryCarver, ContinuousCarver, Features\n",
    "from AutoCarver.discretizers.utils.base_discretizer import ProcessingConfig\n",
    "\n",
    "try:\n",
    "    from optbinning import ContinuousOptimalBinning, OptimalBinning\n",
    "\n",
    "    HAS_OPTBINNING = True\n",
    "except ImportError:\n",
    "    HAS_OPTBINNING = False\n",
    "    print('optbinning is not installed \\u2014 its rows will be skipped.')\n",
    "\n",
    "SEED = 42\n",
    "warnings.filterwarnings('ignore')\n",
    "plt.rcParams['figure.figsize'] = (10, 3.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "helpers",
   "metadata": {},
   "outputs": [],
   "source": [
    "def one_hot(df):\n",
    "    \"\"\"Treat every bin label as a categorical level and one-hot encode it.\n",
    "\n",
    "    Lets a linear downstream model consume any of the three libraries' outputs\n",
    "    uniformly, without us computing WoE per bin.\n",
    "    \"\"\"\n",
    "    return pd.get_dummies(df.astype(str), drop_first=True).astype(float)\n",
    "\n",
    "\n",
    "def fit_eval_binary(X_train, X_test, y_train, y_test):\n",
    "    Xtr = one_hot(X_train)\n",
    "    Xte = one_hot(X_test).reindex(columns=Xtr.columns, fill_value=0.0)\n",
    "    model = LogisticRegression(max_iter=1000, random_state=SEED).fit(Xtr, y_train)\n",
    "    return {\n",
    "        'train_auc': roc_auc_score(y_train, model.predict_proba(Xtr)[:, 1]),\n",
    "        'test_auc': roc_auc_score(y_test, model.predict_proba(Xte)[:, 1]),\n",
    "    }\n",
    "\n",
    "\n",
    "def fit_eval_regression(X_train, X_test, y_train, y_test):\n",
    "    Xtr = one_hot(X_train)\n",
    "    Xte = one_hot(X_test).reindex(columns=Xtr.columns, fill_value=0.0)\n",
    "    model = Ridge(random_state=SEED).fit(Xtr, y_train)\n",
    "    return {\n",
    "        'train_r2': r2_score(y_train, model.predict(Xtr)),\n",
    "        'test_r2': r2_score(y_test, model.predict(Xte)),\n",
    "    }\n",
    "\n",
    "\n",
    "def plot_bars(results_df, score_cols, title):\n",
    "    fig, axes = plt.subplots(1, len(score_cols), figsize=(4 * len(score_cols), 3.5))\n",
    "    if len(score_cols) == 1:\n",
    "        axes = [axes]\n",
    "    for ax, col in zip(axes, score_cols):\n",
    "        results_df.plot.bar(x='library', y=col, ax=ax, legend=False, color='#4C72B0')\n",
    "        ax.set_title(col)\n",
    "        ax.set_xlabel('')\n",
    "        ax.tick_params(axis='x', rotation=0)\n",
    "    fig.suptitle(title)\n",
    "    fig.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "binners",
   "metadata": {},
   "outputs": [],
   "source": [
    "from AutoCarver.combinations.binary import CramervCombinations\n",
    "\n",
    "MAX_N_MOD = 5\n",
    "MIN_FREQ = 0.05\n",
    "\n",
    "def bin_with_autocarver(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, kind):\n",
    "    Carver = BinaryCarver if kind == 'binary' else ContinuousCarver\n",
    "    features = Features(categoricals=categoricals, numericals=quantitatives)\n",
    "    config = ProcessingConfig(verbose=True)  # showing statistics\n",
    "    combination_evaluator = CramervCombinations() if kind == 'binary' else None\n",
    "    carver = Carver(features=features, min_freq=MIN_FREQ, max_n_mod=MAX_N_MOD, config=config,combination_evaluator=combination_evaluator)\n",
    "\n",
    "    t0 = time.perf_counter()\n",
    "    X_tr = carver.fit_transform(X_train.copy(), y_train, X_dev=X_dev.copy(), y_dev=y_dev)\n",
    "    fit_t = time.perf_counter() - t0\n",
    "\n",
    "    X_dv = carver.transform(X_dev.copy())\n",
    "    t1 = time.perf_counter()\n",
    "    X_te = carver.transform(X_test.copy())\n",
    "    transform_t = time.perf_counter() - t1\n",
    "    return pd.concat([X_tr, X_dv]), X_te, fit_t, transform_t, carver\n",
    "\n",
    "\n",
    "def bin_with_optbinning(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, kind):\n",
    "    Cls = OptimalBinning if kind == 'binary' else ContinuousOptimalBinning\n",
    "    X_all = pd.concat([X_train, X_dev])\n",
    "    y_all = pd.concat([y_train, y_dev])\n",
    "    binners = {}\n",
    "    train_binned = pd.DataFrame(index=X_all.index)\n",
    "    test_binned = pd.DataFrame(index=X_test.index)\n",
    "\n",
    "    t0 = time.perf_counter()\n",
    "    for col in X_all.columns:\n",
    "        dtype = 'categorical' if col in categoricals else 'numerical'\n",
    "        binner = Cls(name=col, dtype=dtype, min_prebin_size=MIN_FREQ/2, max_n_bins=MAX_N_MOD)\n",
    "        binner.fit(X_all[col].to_numpy(), y_all.to_numpy())\n",
    "        binners[col] = binner\n",
    "        train_binned[col] = binner.transform(X_all[col].to_numpy(), metric='bins')\n",
    "    fit_t = time.perf_counter() - t0\n",
    "\n",
    "    t1 = time.perf_counter()\n",
    "    for col, b in binners.items():\n",
    "        test_binned[col] = b.transform(X_test[col].to_numpy(), metric='bins')\n",
    "    transform_t = time.perf_counter() - t1\n",
    "    return train_binned, test_binned, fit_t, transform_t, binners\n",
    "\n",
    "\n",
    "def bin_with_kbins(X_train, X_dev, X_test, categoricals, quantitatives, n_bins=5):\n",
    "    X_all = pd.concat([X_train, X_dev])\n",
    "    num_train = X_all[quantitatives].apply(lambda c: c.fillna(c.median()))\n",
    "    num_test = X_test[quantitatives].apply(lambda c: c.fillna(c.median()))\n",
    "    kbd = KBinsDiscretizer(n_bins=n_bins, encode='ordinal', strategy='quantile')\n",
    "\n",
    "    t0 = time.perf_counter()\n",
    "    binned_num_train = pd.DataFrame(\n",
    "        kbd.fit_transform(num_train), columns=quantitatives, index=X_all.index\n",
    "    )\n",
    "    fit_t = time.perf_counter() - t0\n",
    "\n",
    "    t1 = time.perf_counter()\n",
    "    binned_num_test = pd.DataFrame(\n",
    "        kbd.transform(num_test), columns=quantitatives, index=X_test.index\n",
    "    )\n",
    "    transform_t = time.perf_counter() - t1\n",
    "\n",
    "    # KBins has no opinion on categoricals — pass them through as labels\n",
    "    train = pd.concat([binned_num_train, X_all[categoricals].astype(str)], axis=1)\n",
    "    test = pd.concat([binned_num_test, X_test[categoricals].astype(str)], axis=1)\n",
    "    return train, test, fit_t, transform_t, kbd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "binary-md",
   "metadata": {},
   "source": [
    "## Binary classification — German Credit\n",
    "\n",
    "20 features (numeric + categorical), 1,000 rows, target = `class == 'bad'`. Train / dev / test split = 60 / 20 / 20 %."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "381a7051",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train=600, dev=200, test=200\n",
      "categoricals=13, numericals=7\n",
      "bad rate (train)=0.300, (test)=0.300\n"
     ]
    }
   ],
   "source": [
    "credit = fetch_openml(data_id=31, as_frame=True)\n",
    "df = credit.frame.copy()\n",
    "\n",
    "y_binary = (df['class'] == 'bad').astype(int)\n",
    "X_binary = df.drop(columns=['class'])\n",
    "\n",
    "X_train, X_rest, y_train, y_rest = train_test_split(\n",
    "    X_binary, y_binary, test_size=0.4, random_state=SEED, stratify=y_binary,\n",
    ")\n",
    "X_dev, X_test, y_dev, y_test = train_test_split(\n",
    "    X_rest, y_rest, test_size=0.5, random_state=SEED, stratify=y_rest,\n",
    ")\n",
    "\n",
    "categoricals = [c for c in X_binary.columns if X_binary[c].dtype == object or isinstance(X_binary[c].dtype, pd.CategoricalDtype)]\n",
    "quantitatives = [c for c in X_binary.columns if c not in categoricals]\n",
    "\n",
    "print(f'train={len(X_train)}, dev={len(X_dev)}, test={len(X_test)}')\n",
    "print(f'categoricals={len(categoricals)}, numericals={len(quantitatives)}')\n",
    "print(f'bad rate (train)={y_train.mean():.3f}, (test)={y_test.mean():.3f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "run-binary",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------\n",
      "--- [QuantitativeDiscretizer] Fit Features(['duration', 'credit_amount', 'installment_commitment', 'residence_since', 'age', 'existing_credits', 'num_dependents'])\n",
      " - [ContinuousDiscretizer] Fit Features(['duration', 'credit_amount', 'installment_commitment', 'residence_since', 'age', 'existing_credits', 'num_dependents'])\n",
      " - [OrdinalDiscretizer] Fit Features(['duration', 'installment_commitment', 'residence_since', 'existing_credits', 'num_dependents'])\n",
      "------\n",
      "\n",
      "------\n",
      "--- [QualitativeDiscretizer] Fit Features(['checking_status', 'credit_history', 'purpose', 'savings_status', 'employment', 'personal_status', 'other_parties', 'property_magnitude', 'other_payment_plans', 'housing', 'job', 'own_telephone', 'foreign_worker'])\n",
      " - [CategoricalDiscretizer] Fit Features(['checking_status', 'credit_history', 'purpose', 'savings_status', 'employment', 'personal_status', 'other_parties', 'property_magnitude', 'other_payment_plans', 'housing', 'job', 'own_telephone', 'foreign_worker'])\n",
      "------\n",
      "\n",
      "---------\n",
      "------ [BinaryCarver] Fit Features(['checking_status', 'credit_history', 'purpose', 'savings_status', 'employment', 'personal_status', 'other_parties', 'property_magnitude', 'other_payment_plans', 'housing', 'job', 'own_telephone', 'foreign_worker', 'duration', 'credit_amount', 'installment_commitment', 'residence_since', 'age', 'existing_credits', 'num_dependents'])\n",
      "--- [BinaryCarver] Fit Categorical('checking_status') (1/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
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       "  <caption>X distribution</caption>\n",
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_23e05_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_23e05_level0_row0\" class=\"row_heading level0 row0\" >no checking</th>\n",
       "      <td id=\"T_23e05_row0_col0\" class=\"data row0 col0\" >0.1317</td>\n",
       "      <td id=\"T_23e05_row0_col1\" class=\"data row0 col1\" >0.4050</td>\n",
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       "    <tr>\n",
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       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_85fff_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_85fff_row1_col0\" class=\"data row1 col0\" >0.0833</td>\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "      <th id=\"T_4dd08_level0_row0\" class=\"row_heading level0 row0\" >no checking</th>\n",
       "      <td id=\"T_4dd08_row0_col0\" class=\"data row0 col0\" >0.1317</td>\n",
       "      <td id=\"T_4dd08_row0_col1\" class=\"data row0 col1\" >0.4050</td>\n",
       "      <td id=\"T_4dd08_row0_col2\" class=\"data row0 col2\" >243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4dd08_level0_row1\" class=\"row_heading level0 row1\" >>=200</th>\n",
       "      <td id=\"T_4dd08_row1_col0\" class=\"data row1 col0\" >0.2778</td>\n",
       "      <td id=\"T_4dd08_row1_col1\" class=\"data row1 col1\" >0.0600</td>\n",
       "      <td id=\"T_4dd08_row1_col2\" class=\"data row1 col2\" >36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4dd08_level0_row2\" class=\"row_heading level0 row2\" >0<=X<200</th>\n",
       "      <td id=\"T_4dd08_row2_col0\" class=\"data row2 col0\" >0.3896</td>\n",
       "      <td id=\"T_4dd08_row2_col1\" class=\"data row2 col1\" >0.2567</td>\n",
       "      <td id=\"T_4dd08_row2_col2\" class=\"data row2 col2\" >154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4dd08_level0_row3\" class=\"row_heading level0 row3\" ><0</th>\n",
       "      <td id=\"T_4dd08_row3_col0\" class=\"data row3 col0\" >0.4671</td>\n",
       "      <td id=\"T_4dd08_row3_col1\" class=\"data row3 col1\" >0.2783</td>\n",
       "      <td id=\"T_4dd08_row3_col2\" class=\"data row3 col2\" >167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "  color: #f1f1f1;\n",
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       "  background-color: #f1ccb8;\n",
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       "#T_b48f8_row2_col1, #T_b48f8_row2_col2 {\n",
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       "#T_b48f8_row3_col1, #T_b48f8_row3_col2 {\n",
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       "</style>\n",
       "<table id=\"T_b48f8\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_b48f8_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_b48f8_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_b48f8_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_b48f8_row0_col0\" class=\"data row0 col0\" >0.0694</td>\n",
       "      <td id=\"T_b48f8_row0_col1\" class=\"data row0 col1\" >0.3600</td>\n",
       "      <td id=\"T_b48f8_row0_col2\" class=\"data row0 col2\" >72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b48f8_row1_col0\" class=\"data row1 col0\" >0.0833</td>\n",
       "      <td id=\"T_b48f8_row1_col1\" class=\"data row1 col1\" >0.0600</td>\n",
       "      <td id=\"T_b48f8_row1_col2\" class=\"data row1 col2\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b48f8_row2_col0\" class=\"data row2 col0\" >0.3710</td>\n",
       "      <td id=\"T_b48f8_row2_col1\" class=\"data row2 col1\" >0.3100</td>\n",
       "      <td id=\"T_b48f8_row2_col2\" class=\"data row2 col2\" >62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b48f8_row3_col0\" class=\"data row3 col0\" >0.5741</td>\n",
       "      <td id=\"T_b48f8_row3_col1\" class=\"data row3 col1\" >0.2700</td>\n",
       "      <td id=\"T_b48f8_row3_col2\" class=\"data row3 col2\" >54</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('credit_history') (2/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
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       "#T_9a39e_row1_col1, #T_9a39e_row1_col2, #T_9a39e_row3_col0, #T_9a39e_row4_col0 {\n",
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       "#T_9a39e_row2_col1, #T_9a39e_row2_col2 {\n",
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       "#T_9a39e_row3_col1, #T_9a39e_row3_col2 {\n",
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       "</style>\n",
       "<table id=\"T_9a39e\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_9a39e_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_9a39e_level0_row0\" class=\"row_heading level0 row0\" >critical/other existing credit</th>\n",
       "      <td id=\"T_9a39e_row0_col0\" class=\"data row0 col0\" >0.1676</td>\n",
       "      <td id=\"T_9a39e_row0_col1\" class=\"data row0 col1\" >0.2883</td>\n",
       "      <td id=\"T_9a39e_row0_col2\" class=\"data row0 col2\" >173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9a39e_level0_row1\" class=\"row_heading level0 row1\" >existing paid</th>\n",
       "      <td id=\"T_9a39e_row1_col0\" class=\"data row1 col0\" >0.3185</td>\n",
       "      <td id=\"T_9a39e_row1_col1\" class=\"data row1 col1\" >0.5233</td>\n",
       "      <td id=\"T_9a39e_row1_col2\" class=\"data row1 col2\" >314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9a39e_level0_row2\" class=\"row_heading level0 row2\" >delayed previously</th>\n",
       "      <td id=\"T_9a39e_row2_col0\" class=\"data row2 col0\" >0.3621</td>\n",
       "      <td id=\"T_9a39e_row2_col1\" class=\"data row2 col1\" >0.0967</td>\n",
       "      <td id=\"T_9a39e_row2_col2\" class=\"data row2 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9a39e_level0_row3\" class=\"row_heading level0 row3\" >all paid</th>\n",
       "      <td id=\"T_9a39e_row3_col0\" class=\"data row3 col0\" >0.5455</td>\n",
       "      <td id=\"T_9a39e_row3_col1\" class=\"data row3 col1\" >0.0550</td>\n",
       "      <td id=\"T_9a39e_row3_col2\" class=\"data row3 col2\" >33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9a39e_level0_row4\" class=\"row_heading level0 row4\" >no credits/all paid</th>\n",
       "      <td id=\"T_9a39e_row4_col0\" class=\"data row4 col0\" >0.5455</td>\n",
       "      <td id=\"T_9a39e_row4_col1\" class=\"data row4 col1\" >0.0367</td>\n",
       "      <td id=\"T_9a39e_row4_col2\" class=\"data row4 col2\" >22</td>\n",
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       "#T_247be_row2_col1, #T_247be_row2_col2 {\n",
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       "  <caption>X_dev distribution</caption>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_247be_row0_col0\" class=\"data row0 col0\" >0.2241</td>\n",
       "      <td id=\"T_247be_row0_col1\" class=\"data row0 col1\" >0.2900</td>\n",
       "      <td id=\"T_247be_row0_col2\" class=\"data row0 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_247be_row1_col0\" class=\"data row1 col0\" >0.2703</td>\n",
       "      <td id=\"T_247be_row1_col1\" class=\"data row1 col1\" >0.5550</td>\n",
       "      <td id=\"T_247be_row1_col2\" class=\"data row1 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_247be_row2_col0\" class=\"data row2 col0\" >0.3571</td>\n",
       "      <td id=\"T_247be_row2_col1\" class=\"data row2 col1\" >0.0700</td>\n",
       "      <td id=\"T_247be_row2_col2\" class=\"data row2 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_247be_row3_col0\" class=\"data row3 col0\" >0.7273</td>\n",
       "      <td id=\"T_247be_row3_col1\" class=\"data row3 col1\" >0.0550</td>\n",
       "      <td id=\"T_247be_row3_col2\" class=\"data row3 col2\" >11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_247be_row4_col0\" class=\"data row4 col0\" >0.6667</td>\n",
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       "      <td id=\"T_247be_row4_col2\" class=\"data row4 col2\" >6</td>\n",
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       "</table>\n"
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     "name": "stdout",
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     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "      <th id=\"T_f24bf_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <th id=\"T_f24bf_level0_row1\" class=\"row_heading level0 row1\" >existing paid</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f24bf_level0_row2\" class=\"row_heading level0 row2\" >delayed previously</th>\n",
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       "      <td id=\"T_f24bf_row2_col1\" class=\"data row2 col1\" >0.0967</td>\n",
       "      <td id=\"T_f24bf_row2_col2\" class=\"data row2 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_f24bf_level0_row3\" class=\"row_heading level0 row3\" >all paid, no credits/all paid</th>\n",
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       "      <td id=\"T_f24bf_row3_col1\" class=\"data row3 col1\" >0.0917</td>\n",
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       "#T_07493_row1_col0 {\n",
       "  background-color: #5875e1;\n",
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       "#T_07493_row1_col1, #T_07493_row1_col2, #T_07493_row3_col0 {\n",
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       "#T_07493_row3_col1, #T_07493_row3_col2 {\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_07493_row0_col1\" class=\"data row0 col1\" >0.2900</td>\n",
       "      <td id=\"T_07493_row0_col2\" class=\"data row0 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_07493_row1_col0\" class=\"data row1 col0\" >0.2703</td>\n",
       "      <td id=\"T_07493_row1_col1\" class=\"data row1 col1\" >0.5550</td>\n",
       "      <td id=\"T_07493_row1_col2\" class=\"data row1 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_07493_row2_col0\" class=\"data row2 col0\" >0.3571</td>\n",
       "      <td id=\"T_07493_row2_col1\" class=\"data row2 col1\" >0.0700</td>\n",
       "      <td id=\"T_07493_row2_col2\" class=\"data row2 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_07493_row3_col0\" class=\"data row3 col0\" >0.7059</td>\n",
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       "      <td id=\"T_07493_row3_col2\" class=\"data row3 col2\" >17</td>\n",
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       "</table>\n"
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     "text": [
      "--- [BinaryCarver] Fit Categorical('purpose') (3/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
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       "  background-color: #b1cbfc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row1_col0 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row2_col0 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row2_col1, #T_eb366_row2_col2, #T_eb366_row8_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row3_col0 {\n",
       "  background-color: #c3d5f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row3_col1, #T_eb366_row3_col2 {\n",
       "  background-color: #3c4ec2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row4_col0 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row4_col1, #T_eb366_row4_col2 {\n",
       "  background-color: #f1ccb8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row5_col0 {\n",
       "  background-color: #ead5c9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row5_col1, #T_eb366_row5_col2 {\n",
       "  background-color: #da5a49;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row6_col0 {\n",
       "  background-color: #f7b79b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row6_col1, #T_eb366_row6_col2 {\n",
       "  background-color: #a6c4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row7_col0 {\n",
       "  background-color: #f7b497;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_eb366_row7_col1, #T_eb366_row7_col2 {\n",
       "  background-color: #485fd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_eb366_row8_col1, #T_eb366_row8_col2 {\n",
       "  background-color: #6180e9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_eb366\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_eb366_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_eb366_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_eb366_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row0\" class=\"row_heading level0 row0\" >used car</th>\n",
       "      <td id=\"T_eb366_row0_col0\" class=\"data row0 col0\" >0.1875</td>\n",
       "      <td id=\"T_eb366_row0_col1\" class=\"data row0 col1\" >0.1067</td>\n",
       "      <td id=\"T_eb366_row0_col2\" class=\"data row0 col2\" >64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row1\" class=\"row_heading level0 row1\" >other, retraining</th>\n",
       "      <td id=\"T_eb366_row1_col0\" class=\"data row1 col0\" >0.2222</td>\n",
       "      <td id=\"T_eb366_row1_col1\" class=\"data row1 col1\" >0.0150</td>\n",
       "      <td id=\"T_eb366_row1_col2\" class=\"data row1 col2\" >9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row2\" class=\"row_heading level0 row2\" >radio/tv</th>\n",
       "      <td id=\"T_eb366_row2_col0\" class=\"data row2 col0\" >0.2303</td>\n",
       "      <td id=\"T_eb366_row2_col1\" class=\"data row2 col1\" >0.2750</td>\n",
       "      <td id=\"T_eb366_row2_col2\" class=\"data row2 col2\" >165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row3\" class=\"row_heading level0 row3\" >domestic appliance</th>\n",
       "      <td id=\"T_eb366_row3_col0\" class=\"data row3 col0\" >0.3000</td>\n",
       "      <td id=\"T_eb366_row3_col1\" class=\"data row3 col1\" >0.0167</td>\n",
       "      <td id=\"T_eb366_row3_col2\" class=\"data row3 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row4\" class=\"row_heading level0 row4\" >furniture/equipment</th>\n",
       "      <td id=\"T_eb366_row4_col0\" class=\"data row4 col0\" >0.3333</td>\n",
       "      <td id=\"T_eb366_row4_col1\" class=\"data row4 col1\" >0.1700</td>\n",
       "      <td id=\"T_eb366_row4_col2\" class=\"data row4 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row5\" class=\"row_heading level0 row5\" >new car</th>\n",
       "      <td id=\"T_eb366_row5_col0\" class=\"data row5 col0\" >0.3401</td>\n",
       "      <td id=\"T_eb366_row5_col1\" class=\"data row5 col1\" >0.2450</td>\n",
       "      <td id=\"T_eb366_row5_col2\" class=\"data row5 col2\" >147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row6\" class=\"row_heading level0 row6\" >business</th>\n",
       "      <td id=\"T_eb366_row6_col0\" class=\"data row6 col0\" >0.3729</td>\n",
       "      <td id=\"T_eb366_row6_col1\" class=\"data row6 col1\" >0.0983</td>\n",
       "      <td id=\"T_eb366_row6_col2\" class=\"data row6 col2\" >59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row7\" class=\"row_heading level0 row7\" >repairs</th>\n",
       "      <td id=\"T_eb366_row7_col0\" class=\"data row7 col0\" >0.3750</td>\n",
       "      <td id=\"T_eb366_row7_col1\" class=\"data row7 col1\" >0.0267</td>\n",
       "      <td id=\"T_eb366_row7_col2\" class=\"data row7 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_eb366_level0_row8\" class=\"row_heading level0 row8\" >education</th>\n",
       "      <td id=\"T_eb366_row8_col0\" class=\"data row8 col0\" >0.4643</td>\n",
       "      <td id=\"T_eb366_row8_col1\" class=\"data row8 col1\" >0.0467</td>\n",
       "      <td id=\"T_eb366_row8_col2\" class=\"data row8 col2\" >28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "          <style type=\"text/css\">\n",
       "#T_4ad9a_row0_col0 {\n",
       "  background-color: #94b6ff;\n",
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       "#T_4ad9a_row0_col1, #T_4ad9a_row0_col2 {\n",
       "  background-color: #8db0fe;\n",
       "  color: #000000;\n",
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       "#T_4ad9a_row1_col0 {\n",
       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row1_col1, #T_4ad9a_row1_col2 {\n",
       "  background-color: #6a8bef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4ad9a_row2_col0 {\n",
       "  background-color: #dcdddd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row2_col1, #T_4ad9a_row2_col2, #T_4ad9a_row8_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4ad9a_row3_col0, #T_4ad9a_row3_col1, #T_4ad9a_row3_col2, #T_4ad9a_row7_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4ad9a_row4_col0 {\n",
       "  background-color: #f7ac8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row4_col1, #T_4ad9a_row4_col2 {\n",
       "  background-color: #e9d5cb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row5_col0 {\n",
       "  background-color: #d1493f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4ad9a_row5_col1, #T_4ad9a_row5_col2 {\n",
       "  background-color: #f5a081;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row6_col0 {\n",
       "  background-color: #f2cab5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row6_col1, #T_4ad9a_row6_col2 {\n",
       "  background-color: #98b9ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4ad9a_row7_col1, #T_4ad9a_row7_col2 {\n",
       "  background-color: #3f53c6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4ad9a_row8_col1, #T_4ad9a_row8_col2 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_4ad9a\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_4ad9a_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_4ad9a_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_4ad9a_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row0_col0\" class=\"data row0 col0\" >0.1250</td>\n",
       "      <td id=\"T_4ad9a_row0_col1\" class=\"data row0 col1\" >0.0800</td>\n",
       "      <td id=\"T_4ad9a_row0_col2\" class=\"data row0 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row1_col0\" class=\"data row1 col0\" >0.3000</td>\n",
       "      <td id=\"T_4ad9a_row1_col1\" class=\"data row1 col1\" >0.0500</td>\n",
       "      <td id=\"T_4ad9a_row1_col2\" class=\"data row1 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row2_col0\" class=\"data row2 col0\" >0.2295</td>\n",
       "      <td id=\"T_4ad9a_row2_col1\" class=\"data row2 col1\" >0.3050</td>\n",
       "      <td id=\"T_4ad9a_row2_col2\" class=\"data row2 col2\" >61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row3_col0\" class=\"data row3 col0\" >0.0000</td>\n",
       "      <td id=\"T_4ad9a_row3_col1\" class=\"data row3 col1\" >0.0050</td>\n",
       "      <td id=\"T_4ad9a_row3_col2\" class=\"data row3 col2\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row4_col0\" class=\"data row4 col0\" >0.3235</td>\n",
       "      <td id=\"T_4ad9a_row4_col1\" class=\"data row4 col1\" >0.1700</td>\n",
       "      <td id=\"T_4ad9a_row4_col2\" class=\"data row4 col2\" >34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row5_col0\" class=\"data row5 col0\" >0.4222</td>\n",
       "      <td id=\"T_4ad9a_row5_col1\" class=\"data row5 col1\" >0.2250</td>\n",
       "      <td id=\"T_4ad9a_row5_col2\" class=\"data row5 col2\" >45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row6_col0\" class=\"data row6 col0\" >0.2778</td>\n",
       "      <td id=\"T_4ad9a_row6_col1\" class=\"data row6 col1\" >0.0900</td>\n",
       "      <td id=\"T_4ad9a_row6_col2\" class=\"data row6 col2\" >18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row7_col0\" class=\"data row7 col0\" >0.0000</td>\n",
       "      <td id=\"T_4ad9a_row7_col1\" class=\"data row7 col1\" >0.0100</td>\n",
       "      <td id=\"T_4ad9a_row7_col2\" class=\"data row7 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4ad9a_row8_col0\" class=\"data row8 col0\" >0.4615</td>\n",
       "      <td id=\"T_4ad9a_row8_col1\" class=\"data row8 col1\" >0.0650</td>\n",
       "      <td id=\"T_4ad9a_row8_col2\" class=\"data row8 col2\" >13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "#T_87af7_row0_col0, #T_87af7_row4_col1, #T_87af7_row4_col2 {\n",
       "  background-color: #3b4cc0;\n",
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       "#T_87af7_row0_col1, #T_87af7_row0_col2 {\n",
       "  background-color: #7699f6;\n",
       "  color: #f1f1f1;\n",
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       "#T_87af7_row1_col0 {\n",
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       "  color: #f1f1f1;\n",
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       "#T_87af7_row1_col1, #T_87af7_row1_col2 {\n",
       "  background-color: #f4987a;\n",
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       "#T_87af7_row2_col1, #T_87af7_row2_col2 {\n",
       "  background-color: #cad8ef;\n",
       "  color: #000000;\n",
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       "#T_87af7_row3_col0 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_87af7_row3_col1, #T_87af7_row3_col2, #T_87af7_row4_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_87af7\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_87af7_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_87af7_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_87af7_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_87af7_level0_row0\" class=\"row_heading level0 row0\" >used car</th>\n",
       "      <td id=\"T_87af7_row0_col0\" class=\"data row0 col0\" >0.1875</td>\n",
       "      <td id=\"T_87af7_row0_col1\" class=\"data row0 col1\" >0.1067</td>\n",
       "      <td id=\"T_87af7_row0_col2\" class=\"data row0 col2\" >64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87af7_level0_row1\" class=\"row_heading level0 row1\" >radio/tv, other, retraining</th>\n",
       "      <td id=\"T_87af7_row1_col0\" class=\"data row1 col0\" >0.2299</td>\n",
       "      <td id=\"T_87af7_row1_col1\" class=\"data row1 col1\" >0.2900</td>\n",
       "      <td id=\"T_87af7_row1_col2\" class=\"data row1 col2\" >174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87af7_level0_row2\" class=\"row_heading level0 row2\" >furniture/equipment, domestic appliance</th>\n",
       "      <td id=\"T_87af7_row2_col0\" class=\"data row2 col0\" >0.3304</td>\n",
       "      <td id=\"T_87af7_row2_col1\" class=\"data row2 col1\" >0.1867</td>\n",
       "      <td id=\"T_87af7_row2_col2\" class=\"data row2 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87af7_level0_row3\" class=\"row_heading level0 row3\" >new car, business, repairs</th>\n",
       "      <td id=\"T_87af7_row3_col0\" class=\"data row3 col0\" >0.3514</td>\n",
       "      <td id=\"T_87af7_row3_col1\" class=\"data row3 col1\" >0.3700</td>\n",
       "      <td id=\"T_87af7_row3_col2\" class=\"data row3 col2\" >222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_87af7_level0_row4\" class=\"row_heading level0 row4\" >education</th>\n",
       "      <td id=\"T_87af7_row4_col0\" class=\"data row4 col0\" >0.4643</td>\n",
       "      <td id=\"T_87af7_row4_col1\" class=\"data row4 col1\" >0.0467</td>\n",
       "      <td id=\"T_87af7_row4_col2\" class=\"data row4 col2\" >28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
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       "#T_d9c0c_row0_col1, #T_d9c0c_row0_col2 {\n",
       "  background-color: #4a63d3;\n",
       "  color: #f1f1f1;\n",
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       "#T_d9c0c_row1_col0 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
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       "#T_d9c0c_row1_col1, #T_d9c0c_row1_col2, #T_d9c0c_row4_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "#T_d9c0c_row2_col0 {\n",
       "  background-color: #ebd3c6;\n",
       "  color: #000000;\n",
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       "#T_d9c0c_row2_col1, #T_d9c0c_row2_col2 {\n",
       "  background-color: #bad0f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d9c0c_row3_col0 {\n",
       "  background-color: #f6a385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d9c0c_row3_col1, #T_d9c0c_row3_col2 {\n",
       "  background-color: #d75445;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_d9c0c\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_d9c0c_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d9c0c_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d9c0c_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_d9c0c_row0_col0\" class=\"data row0 col0\" >0.1250</td>\n",
       "      <td id=\"T_d9c0c_row0_col1\" class=\"data row0 col1\" >0.0800</td>\n",
       "      <td id=\"T_d9c0c_row0_col2\" class=\"data row0 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d9c0c_row1_col0\" class=\"data row1 col0\" >0.2394</td>\n",
       "      <td id=\"T_d9c0c_row1_col1\" class=\"data row1 col1\" >0.3550</td>\n",
       "      <td id=\"T_d9c0c_row1_col2\" class=\"data row1 col2\" >71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d9c0c_row2_col0\" class=\"data row2 col0\" >0.3143</td>\n",
       "      <td id=\"T_d9c0c_row2_col1\" class=\"data row2 col1\" >0.1750</td>\n",
       "      <td id=\"T_d9c0c_row2_col2\" class=\"data row2 col2\" >35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d9c0c_row3_col0\" class=\"data row3 col0\" >0.3692</td>\n",
       "      <td id=\"T_d9c0c_row3_col1\" class=\"data row3 col1\" >0.3250</td>\n",
       "      <td id=\"T_d9c0c_row3_col2\" class=\"data row3 col2\" >65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d9c0c_row4_col0\" class=\"data row4 col0\" >0.4615</td>\n",
       "      <td id=\"T_d9c0c_row4_col1\" class=\"data row4 col1\" >0.0650</td>\n",
       "      <td id=\"T_d9c0c_row4_col2\" class=\"data row4 col2\" >13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('savings_status') (4/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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     "text": [
      " [BinaryCarver] Carved distribution\n"
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     "text": [
      "--- [BinaryCarver] Fit Categorical('employment') (5/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
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       "    <tr>\n",
       "      <td id=\"T_d19f5_row1_col0\" class=\"data row1 col0\" >0.2600</td>\n",
       "      <td id=\"T_d19f5_row1_col1\" class=\"data row1 col1\" >0.2500</td>\n",
       "      <td id=\"T_d19f5_row1_col2\" class=\"data row1 col2\" >50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d19f5_row2_col0\" class=\"data row2 col0\" >0.3621</td>\n",
       "      <td id=\"T_d19f5_row2_col1\" class=\"data row2 col1\" >0.2900</td>\n",
       "      <td id=\"T_d19f5_row2_col2\" class=\"data row2 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d19f5_row3_col0\" class=\"data row3 col0\" >0.3333</td>\n",
       "      <td id=\"T_d19f5_row3_col1\" class=\"data row3 col1\" >0.1800</td>\n",
       "      <td id=\"T_d19f5_row3_col2\" class=\"data row3 col2\" >36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d19f5_row4_col0\" class=\"data row4 col0\" >0.2222</td>\n",
       "      <td id=\"T_d19f5_row4_col1\" class=\"data row4 col1\" >0.0900</td>\n",
       "      <td id=\"T_d19f5_row4_col2\" class=\"data row4 col2\" >18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
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    {
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     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_ece80_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  <tbody>\n",
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       "      <th id=\"T_ece80_level0_row0\" class=\"row_heading level0 row0\" >>=7, 4<=X<7</th>\n",
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       "      <th id=\"T_ece80_level0_row1\" class=\"row_heading level0 row1\" >unemployed, 1<=X<4, <1</th>\n",
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       "  <caption>X_dev distribution</caption>\n",
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       "      <th id=\"T_e3a26_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_e3a26_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "  <tbody>\n",
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       "      <td id=\"T_e3a26_row0_col0\" class=\"data row0 col0\" >0.2614</td>\n",
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       "      <td id=\"T_e3a26_row0_col2\" class=\"data row0 col2\" >88</td>\n",
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       "      <td id=\"T_e3a26_row1_col0\" class=\"data row1 col0\" >0.3304</td>\n",
       "      <td id=\"T_e3a26_row1_col1\" class=\"data row1 col1\" >0.5600</td>\n",
       "      <td id=\"T_e3a26_row1_col2\" class=\"data row1 col2\" >112</td>\n",
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     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('personal_status') (6/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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       "  <caption>X distribution</caption>\n",
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       "      <th id=\"T_d9711_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  <tbody>\n",
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       "      <th id=\"T_d9711_level0_row0\" class=\"row_heading level0 row0\" >male single</th>\n",
       "      <td id=\"T_d9711_row0_col0\" class=\"data row0 col0\" >0.2679</td>\n",
       "      <td id=\"T_d9711_row0_col1\" class=\"data row0 col1\" >0.5600</td>\n",
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       "      <th id=\"T_d9711_level0_row1\" class=\"row_heading level0 row1\" >male mar/wid</th>\n",
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       "      <td id=\"T_d9711_row1_col1\" class=\"data row1 col1\" >0.0900</td>\n",
       "      <td id=\"T_d9711_row1_col2\" class=\"data row1 col2\" >54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_d9711_level0_row2\" class=\"row_heading level0 row2\" >female div/dep/mar</th>\n",
       "      <td id=\"T_d9711_row2_col0\" class=\"data row2 col0\" >0.3559</td>\n",
       "      <td id=\"T_d9711_row2_col1\" class=\"data row2 col1\" >0.2950</td>\n",
       "      <td id=\"T_d9711_row2_col2\" class=\"data row2 col2\" >177</td>\n",
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       "      <th id=\"T_d9711_level0_row3\" class=\"row_heading level0 row3\" >male div/sep</th>\n",
       "      <td id=\"T_d9711_row3_col0\" class=\"data row3 col0\" >0.3636</td>\n",
       "      <td id=\"T_d9711_row3_col1\" class=\"data row3 col1\" >0.0550</td>\n",
       "      <td id=\"T_d9711_row3_col2\" class=\"data row3 col2\" >33</td>\n",
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       "#T_5c514_row1_col1, #T_5c514_row1_col2 {\n",
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       "      <td id=\"T_5c514_row0_col0\" class=\"data row0 col0\" >0.2830</td>\n",
       "      <td id=\"T_5c514_row0_col1\" class=\"data row0 col1\" >0.5300</td>\n",
       "      <td id=\"T_5c514_row0_col2\" class=\"data row0 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5c514_row1_col0\" class=\"data row1 col0\" >0.2381</td>\n",
       "      <td id=\"T_5c514_row1_col1\" class=\"data row1 col1\" >0.1050</td>\n",
       "      <td id=\"T_5c514_row1_col2\" class=\"data row1 col2\" >21</td>\n",
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       "    <tr>\n",
       "      <td id=\"T_5c514_row2_col0\" class=\"data row2 col0\" >0.3385</td>\n",
       "      <td id=\"T_5c514_row2_col1\" class=\"data row2 col1\" >0.3250</td>\n",
       "      <td id=\"T_5c514_row2_col2\" class=\"data row2 col2\" >65</td>\n",
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       "      <td id=\"T_5c514_row3_col2\" class=\"data row3 col2\" >8</td>\n",
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     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
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       "      <th id=\"T_f7b69_level0_row0\" class=\"row_heading level0 row0\" >male single, male mar/wid</th>\n",
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       "      <td id=\"T_f7b69_row2_col1\" class=\"data row2 col1\" >0.0550</td>\n",
       "      <td id=\"T_f7b69_row2_col2\" class=\"data row2 col2\" >33</td>\n",
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       "      <th id=\"T_d4b24_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <th id=\"T_d4b24_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_d4b24_row0_col0\" class=\"data row0 col0\" >0.2756</td>\n",
       "      <td id=\"T_d4b24_row0_col1\" class=\"data row0 col1\" >0.6350</td>\n",
       "      <td id=\"T_d4b24_row0_col2\" class=\"data row0 col2\" >127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d4b24_row1_col0\" class=\"data row1 col0\" >0.3385</td>\n",
       "      <td id=\"T_d4b24_row1_col1\" class=\"data row1 col1\" >0.3250</td>\n",
       "      <td id=\"T_d4b24_row1_col2\" class=\"data row1 col2\" >65</td>\n",
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       "    <tr>\n",
       "      <td id=\"T_d4b24_row2_col0\" class=\"data row2 col0\" >0.3750</td>\n",
       "      <td id=\"T_d4b24_row2_col1\" class=\"data row2 col1\" >0.0400</td>\n",
       "      <td id=\"T_d4b24_row2_col2\" class=\"data row2 col2\" >8</td>\n",
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     "text": [
      "--- [BinaryCarver] Fit Categorical('other_parties') (7/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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       "      <th id=\"T_7fa24_level0_row2\" class=\"row_heading level0 row2\" >co applicant</th>\n",
       "      <td id=\"T_7fa24_row2_col0\" class=\"data row2 col0\" >0.4286</td>\n",
       "      <td id=\"T_7fa24_row2_col1\" class=\"data row2 col1\" >0.0467</td>\n",
       "      <td id=\"T_7fa24_row2_col2\" class=\"data row2 col2\" >28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "  background-color: #3b4cc0;\n",
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       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
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       "#T_cfea9_row1_col1, #T_cfea9_row1_col2, #T_cfea9_row2_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "<table id=\"T_cfea9\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_cfea9_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_cfea9_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_cfea9_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_cfea9_row0_col0\" class=\"data row0 col0\" >0.2500</td>\n",
       "      <td id=\"T_cfea9_row0_col1\" class=\"data row0 col1\" >0.0400</td>\n",
       "      <td id=\"T_cfea9_row0_col2\" class=\"data row0 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_cfea9_row1_col0\" class=\"data row1 col0\" >0.2989</td>\n",
       "      <td id=\"T_cfea9_row1_col1\" class=\"data row1 col1\" >0.9200</td>\n",
       "      <td id=\"T_cfea9_row1_col2\" class=\"data row1 col2\" >184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_cfea9_row2_col0\" class=\"data row2 col0\" >0.3750</td>\n",
       "      <td id=\"T_cfea9_row2_col1\" class=\"data row2 col1\" >0.0400</td>\n",
       "      <td id=\"T_cfea9_row2_col2\" class=\"data row2 col2\" >8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
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     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
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       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_76625_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_76625_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_76625_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_76625_level0_row0\" class=\"row_heading level0 row0\" >guarantor</th>\n",
       "      <td id=\"T_76625_row0_col0\" class=\"data row0 col0\" >0.1786</td>\n",
       "      <td id=\"T_76625_row0_col1\" class=\"data row0 col1\" >0.0467</td>\n",
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       "    </tr>\n",
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       "      <th id=\"T_76625_level0_row1\" class=\"row_heading level0 row1\" >none</th>\n",
       "      <td id=\"T_76625_row1_col0\" class=\"data row1 col0\" >0.2996</td>\n",
       "      <td id=\"T_76625_row1_col1\" class=\"data row1 col1\" >0.9067</td>\n",
       "      <td id=\"T_76625_row1_col2\" class=\"data row1 col2\" >544</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_76625_level0_row2\" class=\"row_heading level0 row2\" >co applicant</th>\n",
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       "      <td id=\"T_76625_row2_col2\" class=\"data row2 col2\" >28</td>\n",
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       "#T_14c98_row1_col1, #T_14c98_row1_col2, #T_14c98_row2_col0 {\n",
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       "  color: #f1f1f1;\n",
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       "<table id=\"T_14c98\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_14c98_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_14c98_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_14c98_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_14c98_row0_col0\" class=\"data row0 col0\" >0.2500</td>\n",
       "      <td id=\"T_14c98_row0_col1\" class=\"data row0 col1\" >0.0400</td>\n",
       "      <td id=\"T_14c98_row0_col2\" class=\"data row0 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_14c98_row1_col0\" class=\"data row1 col0\" >0.2989</td>\n",
       "      <td id=\"T_14c98_row1_col1\" class=\"data row1 col1\" >0.9200</td>\n",
       "      <td id=\"T_14c98_row1_col2\" class=\"data row1 col2\" >184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_14c98_row2_col0\" class=\"data row2 col0\" >0.3750</td>\n",
       "      <td id=\"T_14c98_row2_col1\" class=\"data row2 col1\" >0.0400</td>\n",
       "      <td id=\"T_14c98_row2_col2\" class=\"data row2 col2\" >8</td>\n",
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     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('property_magnitude') (8/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
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       "#T_8e232_row2_col1, #T_8e232_row2_col2, #T_8e232_row3_col0 {\n",
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       "<table id=\"T_8e232\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_8e232_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_8e232_level0_row0\" class=\"row_heading level0 row0\" >real estate</th>\n",
       "      <td id=\"T_8e232_row0_col0\" class=\"data row0 col0\" >0.2130</td>\n",
       "      <td id=\"T_8e232_row0_col1\" class=\"data row0 col1\" >0.2817</td>\n",
       "      <td id=\"T_8e232_row0_col2\" class=\"data row0 col2\" >169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8e232_level0_row1\" class=\"row_heading level0 row1\" >life insurance</th>\n",
       "      <td id=\"T_8e232_row1_col0\" class=\"data row1 col0\" >0.3125</td>\n",
       "      <td id=\"T_8e232_row1_col1\" class=\"data row1 col1\" >0.2133</td>\n",
       "      <td id=\"T_8e232_row1_col2\" class=\"data row1 col2\" >128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8e232_level0_row2\" class=\"row_heading level0 row2\" >car</th>\n",
       "      <td id=\"T_8e232_row2_col0\" class=\"data row2 col0\" >0.3143</td>\n",
       "      <td id=\"T_8e232_row2_col1\" class=\"data row2 col1\" >0.3500</td>\n",
       "      <td id=\"T_8e232_row2_col2\" class=\"data row2 col2\" >210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8e232_level0_row3\" class=\"row_heading level0 row3\" >no known property</th>\n",
       "      <td id=\"T_8e232_row3_col0\" class=\"data row3 col0\" >0.4086</td>\n",
       "      <td id=\"T_8e232_row3_col1\" class=\"data row3 col1\" >0.1550</td>\n",
       "      <td id=\"T_8e232_row3_col2\" class=\"data row3 col2\" >93</td>\n",
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       "#T_83867_row2_col1, #T_83867_row2_col2, #T_83867_row3_col0 {\n",
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       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
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       "      <th id=\"T_83867_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_83867_row0_col0\" class=\"data row0 col0\" >0.2182</td>\n",
       "      <td id=\"T_83867_row0_col1\" class=\"data row0 col1\" >0.2750</td>\n",
       "      <td id=\"T_83867_row0_col2\" class=\"data row0 col2\" >55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_83867_row1_col0\" class=\"data row1 col0\" >0.2600</td>\n",
       "      <td id=\"T_83867_row1_col1\" class=\"data row1 col1\" >0.2500</td>\n",
       "      <td id=\"T_83867_row1_col2\" class=\"data row1 col2\" >50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_83867_row2_col0\" class=\"data row2 col0\" >0.3281</td>\n",
       "      <td id=\"T_83867_row2_col1\" class=\"data row2 col1\" >0.3200</td>\n",
       "      <td id=\"T_83867_row2_col2\" class=\"data row2 col2\" >64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_83867_row3_col0\" class=\"data row3 col0\" >0.4516</td>\n",
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       "      <td id=\"T_83867_row3_col2\" class=\"data row3 col2\" >31</td>\n",
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     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "  <caption>X distribution</caption>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_ae608_level0_row1\" class=\"row_heading level0 row1\" >life insurance</th>\n",
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       "    </tr>\n",
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       "      <th id=\"T_ae608_level0_row2\" class=\"row_heading level0 row2\" >car</th>\n",
       "      <td id=\"T_ae608_row2_col0\" class=\"data row2 col0\" >0.3143</td>\n",
       "      <td id=\"T_ae608_row2_col1\" class=\"data row2 col1\" >0.3500</td>\n",
       "      <td id=\"T_ae608_row2_col2\" class=\"data row2 col2\" >210</td>\n",
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       "      <th id=\"T_ae608_level0_row3\" class=\"row_heading level0 row3\" >no known property</th>\n",
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       "#T_180e7_row2_col1, #T_180e7_row2_col2, #T_180e7_row3_col0 {\n",
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       "  <caption>X_dev distribution</caption>\n",
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       "      <th id=\"T_180e7_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_180e7_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_180e7_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_180e7_row0_col0\" class=\"data row0 col0\" >0.2182</td>\n",
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       "      <td id=\"T_180e7_row0_col2\" class=\"data row0 col2\" >55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_180e7_row1_col0\" class=\"data row1 col0\" >0.2600</td>\n",
       "      <td id=\"T_180e7_row1_col1\" class=\"data row1 col1\" >0.2500</td>\n",
       "      <td id=\"T_180e7_row1_col2\" class=\"data row1 col2\" >50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_180e7_row2_col0\" class=\"data row2 col0\" >0.3281</td>\n",
       "      <td id=\"T_180e7_row2_col1\" class=\"data row2 col1\" >0.3200</td>\n",
       "      <td id=\"T_180e7_row2_col2\" class=\"data row2 col2\" >64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_180e7_row3_col0\" class=\"data row3 col0\" >0.4516</td>\n",
       "      <td id=\"T_180e7_row3_col1\" class=\"data row3 col1\" >0.1550</td>\n",
       "      <td id=\"T_180e7_row3_col2\" class=\"data row3 col2\" >31</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
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     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('other_payment_plans') (9/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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       "      <td id=\"T_f55cd_row0_col0\" class=\"data row0 col0\" >0.2619</td>\n",
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       "      <td id=\"T_f55cd_row2_col2\" class=\"data row2 col2\" >83</td>\n",
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       "      <td id=\"T_31279_row0_col0\" class=\"data row0 col0\" >0.2866</td>\n",
       "      <td id=\"T_31279_row0_col1\" class=\"data row0 col1\" >0.8200</td>\n",
       "      <td id=\"T_31279_row0_col2\" class=\"data row0 col2\" >164</td>\n",
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       "    <tr>\n",
       "      <td id=\"T_31279_row1_col0\" class=\"data row1 col0\" >0.4444</td>\n",
       "      <td id=\"T_31279_row1_col1\" class=\"data row1 col1\" >0.0450</td>\n",
       "      <td id=\"T_31279_row1_col2\" class=\"data row1 col2\" >9</td>\n",
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       "      <td id=\"T_31279_row2_col0\" class=\"data row2 col0\" >0.3333</td>\n",
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     "text": [
      " [BinaryCarver] Carved distribution\n"
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     "text": [
      "--- [BinaryCarver] Fit Categorical('housing') (10/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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      " [BinaryCarver] Carved distribution\n"
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     "text": [
      "--- [BinaryCarver] Fit Categorical('job') (11/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
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       "#T_913d9_row0_col1, #T_913d9_row0_col2, #T_913d9_row3_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_913d9_row1_col0 {\n",
       "  background-color: #445acc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_913d9_row1_col1, #T_913d9_row1_col2 {\n",
       "  background-color: #9bbcff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_913d9_row2_col0 {\n",
       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_913d9_row2_col1, #T_913d9_row2_col2 {\n",
       "  background-color: #80a3fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_913d9\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_913d9_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_913d9_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_913d9_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_913d9_level0_row0\" class=\"row_heading level0 row0\" >skilled</th>\n",
       "      <td id=\"T_913d9_row0_col0\" class=\"data row0 col0\" >0.2898</td>\n",
       "      <td id=\"T_913d9_row0_col1\" class=\"data row0 col1\" >0.6383</td>\n",
       "      <td id=\"T_913d9_row0_col2\" class=\"data row0 col2\" >383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_913d9_level0_row1\" class=\"row_heading level0 row1\" >unskilled resident</th>\n",
       "      <td id=\"T_913d9_row1_col0\" class=\"data row1 col0\" >0.2966</td>\n",
       "      <td id=\"T_913d9_row1_col1\" class=\"data row1 col1\" >0.1967</td>\n",
       "      <td id=\"T_913d9_row1_col2\" class=\"data row1 col2\" >118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_913d9_level0_row2\" class=\"row_heading level0 row2\" >high qualif/self emp/mgmt</th>\n",
       "      <td id=\"T_913d9_row2_col0\" class=\"data row2 col0\" >0.3258</td>\n",
       "      <td id=\"T_913d9_row2_col1\" class=\"data row2 col1\" >0.1483</td>\n",
       "      <td id=\"T_913d9_row2_col2\" class=\"data row2 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_913d9_level0_row3\" class=\"row_heading level0 row3\" >unemp/unskilled non res</th>\n",
       "      <td id=\"T_913d9_row3_col0\" class=\"data row3 col0\" >0.5000</td>\n",
       "      <td id=\"T_913d9_row3_col1\" class=\"data row3 col1\" >0.0167</td>\n",
       "      <td id=\"T_913d9_row3_col2\" class=\"data row3 col2\" >10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #96b7ff;\n",
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       "#T_1f414_row0_col1, #T_1f414_row0_col2, #T_1f414_row2_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "#T_1f414_row1_col0 {\n",
       "  background-color: #d6dce4;\n",
       "  color: #000000;\n",
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       "#T_1f414_row1_col1, #T_1f414_row1_col2 {\n",
       "  background-color: #9fbfff;\n",
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       "#T_1f414_row3_col0, #T_1f414_row3_col1, #T_1f414_row3_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_1f414\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_1f414_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_1f414_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_1f414_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_1f414_row0_col0\" class=\"data row0 col0\" >0.2541</td>\n",
       "      <td id=\"T_1f414_row0_col1\" class=\"data row0 col1\" >0.6100</td>\n",
       "      <td id=\"T_1f414_row0_col2\" class=\"data row0 col2\" >122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1f414_row1_col0\" class=\"data row1 col0\" >0.3171</td>\n",
       "      <td id=\"T_1f414_row1_col1\" class=\"data row1 col1\" >0.2050</td>\n",
       "      <td id=\"T_1f414_row1_col2\" class=\"data row1 col2\" >41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1f414_row2_col0\" class=\"data row2 col0\" >0.4839</td>\n",
       "      <td id=\"T_1f414_row2_col1\" class=\"data row2 col1\" >0.1550</td>\n",
       "      <td id=\"T_1f414_row2_col2\" class=\"data row2 col2\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1f414_row3_col0\" class=\"data row3 col0\" >0.1667</td>\n",
       "      <td id=\"T_1f414_row3_col1\" class=\"data row3 col1\" >0.0300</td>\n",
       "      <td id=\"T_1f414_row3_col2\" class=\"data row3 col2\" >6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
    {
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_56697_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th id=\"T_56697_level0_row0\" class=\"row_heading level0 row0\" >skilled</th>\n",
       "      <td id=\"T_56697_row0_col0\" class=\"data row0 col0\" >0.2898</td>\n",
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       "      <td id=\"T_56697_row0_col2\" class=\"data row0 col2\" >383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_56697_level0_row1\" class=\"row_heading level0 row1\" >unskilled resident</th>\n",
       "      <td id=\"T_56697_row1_col0\" class=\"data row1 col0\" >0.2966</td>\n",
       "      <td id=\"T_56697_row1_col1\" class=\"data row1 col1\" >0.1967</td>\n",
       "      <td id=\"T_56697_row1_col2\" class=\"data row1 col2\" >118</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_56697_row2_col1\" class=\"data row2 col1\" >0.1650</td>\n",
       "      <td id=\"T_56697_row2_col2\" class=\"data row2 col2\" >99</td>\n",
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       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
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       "      <th id=\"T_d6c85_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d6c85_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d6c85_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_d6c85_row0_col0\" class=\"data row0 col0\" >0.2541</td>\n",
       "      <td id=\"T_d6c85_row0_col1\" class=\"data row0 col1\" >0.6100</td>\n",
       "      <td id=\"T_d6c85_row0_col2\" class=\"data row0 col2\" >122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d6c85_row1_col0\" class=\"data row1 col0\" >0.3171</td>\n",
       "      <td id=\"T_d6c85_row1_col1\" class=\"data row1 col1\" >0.2050</td>\n",
       "      <td id=\"T_d6c85_row1_col2\" class=\"data row1 col2\" >41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d6c85_row2_col0\" class=\"data row2 col0\" >0.4324</td>\n",
       "      <td id=\"T_d6c85_row2_col1\" class=\"data row2 col1\" >0.1850</td>\n",
       "      <td id=\"T_d6c85_row2_col2\" class=\"data row2 col2\" >37</td>\n",
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       "</table>\n"
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     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Categorical('own_telephone') (12/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
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       "<table id=\"T_66d83\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_66d83_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  <tbody>\n",
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       "      <th id=\"T_66d83_level0_row0\" class=\"row_heading level0 row0\" >yes</th>\n",
       "      <td id=\"T_66d83_row0_col0\" class=\"data row0 col0\" >0.2645</td>\n",
       "      <td id=\"T_66d83_row0_col1\" class=\"data row0 col1\" >0.4033</td>\n",
       "      <td id=\"T_66d83_row0_col2\" class=\"data row0 col2\" >242</td>\n",
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       "  <caption>X_dev distribution</caption>\n",
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       "      <th id=\"T_f260c_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  <tbody>\n",
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       "      <td id=\"T_f260c_row0_col0\" class=\"data row0 col0\" >0.3125</td>\n",
       "      <td id=\"T_f260c_row0_col1\" class=\"data row0 col1\" >0.4000</td>\n",
       "      <td id=\"T_f260c_row0_col2\" class=\"data row0 col2\" >80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f260c_row1_col0\" class=\"data row1 col0\" >0.2917</td>\n",
       "      <td id=\"T_f260c_row1_col1\" class=\"data row1 col1\" >0.6000</td>\n",
       "      <td id=\"T_f260c_row1_col2\" class=\"data row1 col2\" >120</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
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     "output_type": "stream",
     "text": [
      "WARNING: No robust combination for Categorical('own_telephone'). Consider increasing the size of X_dev or dropping the feature (X not representative of X_dev for this feature).\n",
      "--- [BinaryCarver] Fit Categorical('foreign_worker') (13/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
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       "  <caption>X distribution</caption>\n",
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_c22f5_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_c22f5_level0_row0\" class=\"row_heading level0 row0\" >no</th>\n",
       "      <td id=\"T_c22f5_row0_col0\" class=\"data row0 col0\" >0.0435</td>\n",
       "      <td id=\"T_c22f5_row0_col1\" class=\"data row0 col1\" >0.0383</td>\n",
       "      <td id=\"T_c22f5_row0_col2\" class=\"data row0 col2\" >23</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_c22f5_level0_row1\" class=\"row_heading level0 row1\" >yes</th>\n",
       "      <td id=\"T_c22f5_row1_col0\" class=\"data row1 col0\" >0.3102</td>\n",
       "      <td id=\"T_c22f5_row1_col1\" class=\"data row1 col1\" >0.9617</td>\n",
       "      <td id=\"T_c22f5_row1_col2\" class=\"data row1 col2\" >577</td>\n",
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       "  color: #f1f1f1;\n",
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       "#T_7f5b9_row0_col1, #T_7f5b9_row0_col2, #T_7f5b9_row1_col0 {\n",
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_7f5b9\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_7f5b9_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_7f5b9_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_7f5b9_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_7f5b9_row0_col0\" class=\"data row0 col0\" >0.3333</td>\n",
       "      <td id=\"T_7f5b9_row0_col1\" class=\"data row0 col1\" >0.0300</td>\n",
       "      <td id=\"T_7f5b9_row0_col2\" class=\"data row0 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7f5b9_row1_col0\" class=\"data row1 col0\" >0.2990</td>\n",
       "      <td id=\"T_7f5b9_row1_col1\" class=\"data row1 col1\" >0.9700</td>\n",
       "      <td id=\"T_7f5b9_row1_col2\" class=\"data row1 col2\" >194</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: No robust combination for Categorical('foreign_worker'). Consider increasing the size of X_dev or dropping the feature (X not representative of X_dev for this feature).\n",
      "--- [BinaryCarver] Fit Numerical('duration') (14/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_27f73_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_27f73_row2_col1\" class=\"data row2 col1\" >0.0383</td>\n",
       "      <td id=\"T_27f73_row2_col2\" class=\"data row2 col2\" >23</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td id=\"T_27f73_row5_col2\" class=\"data row5 col2\" >65</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_27f73_level0_row6\" class=\"row_heading level0 row6\" >(1.80e+01, 2.20e+01]</th>\n",
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       "      <td id=\"T_27f73_row6_col2\" class=\"data row6 col2\" >21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_27f73_level0_row7\" class=\"row_heading level0 row7\" >(2.20e+01, 2.40e+01]</th>\n",
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       "      <td id=\"T_27f73_row7_col1\" class=\"data row7 col1\" >0.1950</td>\n",
       "      <td id=\"T_27f73_row7_col2\" class=\"data row7 col2\" >117</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_27f73_level0_row8\" class=\"row_heading level0 row8\" >(2.40e+01, 2.80e+01]</th>\n",
       "      <td id=\"T_27f73_row8_col0\" class=\"data row8 col0\" >0.2222</td>\n",
       "      <td id=\"T_27f73_row8_col1\" class=\"data row8 col1\" >0.0150</td>\n",
       "      <td id=\"T_27f73_row8_col2\" class=\"data row8 col2\" >9</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_27f73_level0_row9\" class=\"row_heading level0 row9\" >(2.80e+01, 3.30e+01]</th>\n",
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       "      <td id=\"T_27f73_row9_col2\" class=\"data row9 col2\" >26</td>\n",
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       "      <td id=\"T_27f73_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
       "      <td id=\"T_27f73_row11_col2\" class=\"data row11 col2\" >15</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_27f73_row12_col2\" class=\"data row12 col2\" >33</td>\n",
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       "<table id=\"T_ab38d\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ab38d_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_ab38d_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_ab38d_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_ab38d_row0_col0\" class=\"data row0 col0\" >0.1000</td>\n",
       "      <td id=\"T_ab38d_row0_col1\" class=\"data row0 col1\" >0.1000</td>\n",
       "      <td id=\"T_ab38d_row0_col2\" class=\"data row0 col2\" >20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row1_col0\" class=\"data row1 col0\" >0.3077</td>\n",
       "      <td id=\"T_ab38d_row1_col1\" class=\"data row1 col1\" >0.0650</td>\n",
       "      <td id=\"T_ab38d_row1_col2\" class=\"data row1 col2\" >13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row2_col0\" class=\"data row2 col0\" >0.0000</td>\n",
       "      <td id=\"T_ab38d_row2_col1\" class=\"data row2 col1\" >0.0400</td>\n",
       "      <td id=\"T_ab38d_row2_col2\" class=\"data row2 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row3_col0\" class=\"data row3 col0\" >0.2432</td>\n",
       "      <td id=\"T_ab38d_row3_col1\" class=\"data row3 col1\" >0.1850</td>\n",
       "      <td id=\"T_ab38d_row3_col2\" class=\"data row3 col2\" >37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row4_col0\" class=\"data row4 col0\" >0.0714</td>\n",
       "      <td id=\"T_ab38d_row4_col1\" class=\"data row4 col1\" >0.0700</td>\n",
       "      <td id=\"T_ab38d_row4_col2\" class=\"data row4 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row5_col0\" class=\"data row5 col0\" >0.3043</td>\n",
       "      <td id=\"T_ab38d_row5_col1\" class=\"data row5 col1\" >0.1150</td>\n",
       "      <td id=\"T_ab38d_row5_col2\" class=\"data row5 col2\" >23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row6_col0\" class=\"data row6 col0\" >0.4444</td>\n",
       "      <td id=\"T_ab38d_row6_col1\" class=\"data row6 col1\" >0.0450</td>\n",
       "      <td id=\"T_ab38d_row6_col2\" class=\"data row6 col2\" >9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row7_col0\" class=\"data row7 col0\" >0.3548</td>\n",
       "      <td id=\"T_ab38d_row7_col1\" class=\"data row7 col1\" >0.1550</td>\n",
       "      <td id=\"T_ab38d_row7_col2\" class=\"data row7 col2\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row8_col0\" class=\"data row8 col0\" >0.7500</td>\n",
       "      <td id=\"T_ab38d_row8_col1\" class=\"data row8 col1\" >0.0200</td>\n",
       "      <td id=\"T_ab38d_row8_col2\" class=\"data row8 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row9_col0\" class=\"data row9 col0\" >0.4286</td>\n",
       "      <td id=\"T_ab38d_row9_col1\" class=\"data row9 col1\" >0.0350</td>\n",
       "      <td id=\"T_ab38d_row9_col2\" class=\"data row9 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row10_col0\" class=\"data row10 col0\" >0.3529</td>\n",
       "      <td id=\"T_ab38d_row10_col1\" class=\"data row10 col1\" >0.0850</td>\n",
       "      <td id=\"T_ab38d_row10_col2\" class=\"data row10 col2\" >17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row11_col0\" class=\"data row11 col0\" >0.6667</td>\n",
       "      <td id=\"T_ab38d_row11_col1\" class=\"data row11 col1\" >0.0150</td>\n",
       "      <td id=\"T_ab38d_row11_col2\" class=\"data row11 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ab38d_row12_col0\" class=\"data row12 col0\" >0.5714</td>\n",
       "      <td id=\"T_ab38d_row12_col1\" class=\"data row12 col1\" >0.0700</td>\n",
       "      <td id=\"T_ab38d_row12_col2\" class=\"data row12 col2\" >14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "  background-color: #f6bea4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4efe9_row3_col0 {\n",
       "  background-color: #f6a385;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4efe9_row3_col1, #T_4efe9_row3_col2, #T_4efe9_row4_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4efe9_row4_col1, #T_4efe9_row4_col2 {\n",
       "  background-color: #d9dce1;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_4efe9\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_4efe9_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_4efe9_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_4efe9_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_4efe9_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 8.00e+00]</th>\n",
       "      <td id=\"T_4efe9_row0_col0\" class=\"data row0 col0\" >0.0980</td>\n",
       "      <td id=\"T_4efe9_row0_col1\" class=\"data row0 col1\" >0.0850</td>\n",
       "      <td id=\"T_4efe9_row0_col2\" class=\"data row0 col2\" >51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4efe9_level0_row1\" class=\"row_heading level0 row1\" >(8.00e+00, 1.10e+01]</th>\n",
       "      <td id=\"T_4efe9_row1_col0\" class=\"data row1 col0\" >0.1698</td>\n",
       "      <td id=\"T_4efe9_row1_col1\" class=\"data row1 col1\" >0.0883</td>\n",
       "      <td id=\"T_4efe9_row1_col2\" class=\"data row1 col2\" >53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4efe9_level0_row2\" class=\"row_heading level0 row2\" >(1.10e+01, 1.50e+01]</th>\n",
       "      <td id=\"T_4efe9_row2_col0\" class=\"data row2 col0\" >0.2710</td>\n",
       "      <td id=\"T_4efe9_row2_col1\" class=\"data row2 col1\" >0.2583</td>\n",
       "      <td id=\"T_4efe9_row2_col2\" class=\"data row2 col2\" >155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4efe9_level0_row3\" class=\"row_heading level0 row3\" >(1.50e+01, 2.80e+01]</th>\n",
       "      <td id=\"T_4efe9_row3_col0\" class=\"data row3 col0\" >0.3302</td>\n",
       "      <td id=\"T_4efe9_row3_col1\" class=\"data row3 col1\" >0.3533</td>\n",
       "      <td id=\"T_4efe9_row3_col2\" class=\"data row3 col2\" >212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_4efe9_level0_row4\" class=\"row_heading level0 row4\" >(2.80e+01, inf)</th>\n",
       "      <td id=\"T_4efe9_row4_col0\" class=\"data row4 col0\" >0.4186</td>\n",
       "      <td id=\"T_4efe9_row4_col1\" class=\"data row4 col1\" >0.2150</td>\n",
       "      <td id=\"T_4efe9_row4_col2\" class=\"data row4 col2\" >129</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_8539e_row1_col0 {\n",
       "  background-color: #8caffe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_8539e_row1_col1, #T_8539e_row1_col2 {\n",
       "  background-color: #4055c8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_8539e_row2_col0 {\n",
       "  background-color: #92b4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_8539e_row2_col1, #T_8539e_row2_col2 {\n",
       "  background-color: #f7ba9f;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_8539e_row3_col0 {\n",
       "  background-color: #f4987a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_8539e_row3_col1, #T_8539e_row3_col2, #T_8539e_row4_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_8539e_row4_col1, #T_8539e_row4_col2 {\n",
       "  background-color: #cedaeb;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_8539e\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_8539e_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_8539e_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_8539e_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_8539e_row0_col0\" class=\"data row0 col0\" >0.1000</td>\n",
       "      <td id=\"T_8539e_row0_col1\" class=\"data row0 col1\" >0.1000</td>\n",
       "      <td id=\"T_8539e_row0_col2\" class=\"data row0 col2\" >20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_8539e_row1_col0\" class=\"data row1 col0\" >0.1905</td>\n",
       "      <td id=\"T_8539e_row1_col1\" class=\"data row1 col1\" >0.1050</td>\n",
       "      <td id=\"T_8539e_row1_col2\" class=\"data row1 col2\" >21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_8539e_row2_col0\" class=\"data row2 col0\" >0.1961</td>\n",
       "      <td id=\"T_8539e_row2_col1\" class=\"data row2 col1\" >0.2550</td>\n",
       "      <td id=\"T_8539e_row2_col2\" class=\"data row2 col2\" >51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_8539e_row3_col0\" class=\"data row3 col0\" >0.3731</td>\n",
       "      <td id=\"T_8539e_row3_col1\" class=\"data row3 col1\" >0.3350</td>\n",
       "      <td id=\"T_8539e_row3_col2\" class=\"data row3 col2\" >67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_8539e_row4_col0\" class=\"data row4 col0\" >0.4634</td>\n",
       "      <td id=\"T_8539e_row4_col1\" class=\"data row4 col1\" >0.2050</td>\n",
       "      <td id=\"T_8539e_row4_col2\" class=\"data row4 col2\" >41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Numerical('credit_amount') (15/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
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       "  background-color: #6282ea;\n",
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       "  background-color: #b40426;\n",
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       "#T_74273_row11_col0 {\n",
       "  background-color: #6e90f2;\n",
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       "#T_74273_row15_col0 {\n",
       "  background-color: #cd423b;\n",
       "  color: #f1f1f1;\n",
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       "#T_74273_row16_col0 {\n",
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       "#T_74273_row27_col0, #T_74273_row28_col0 {\n",
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_74273\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_74273_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_74273_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_74273_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 6.18e+02]</th>\n",
       "      <td id=\"T_74273_row0_col0\" class=\"data row0 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row0_col2\" class=\"data row0 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row1\" class=\"row_heading level0 row1\" >(6.18e+02, 7.08e+02]</th>\n",
       "      <td id=\"T_74273_row1_col0\" class=\"data row1 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row1_col1\" class=\"data row1 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row1_col2\" class=\"data row1 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row2\" class=\"row_heading level0 row2\" >(7.08e+02, 7.97e+02]</th>\n",
       "      <td id=\"T_74273_row2_col0\" class=\"data row2 col0\" >0.3333</td>\n",
       "      <td id=\"T_74273_row2_col1\" class=\"data row2 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row2_col2\" class=\"data row2 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row3\" class=\"row_heading level0 row3\" >(7.97e+02, 9.09e+02]</th>\n",
       "      <td id=\"T_74273_row3_col0\" class=\"data row3 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row3_col1\" class=\"data row3 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row3_col2\" class=\"data row3 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row4\" class=\"row_heading level0 row4\" >(9.09e+02, 1.03e+03]</th>\n",
       "      <td id=\"T_74273_row4_col0\" class=\"data row4 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row4_col1\" class=\"data row4 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row4_col2\" class=\"data row4 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row5\" class=\"row_heading level0 row5\" >(1.03e+03, 1.16e+03]</th>\n",
       "      <td id=\"T_74273_row5_col0\" class=\"data row5 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row5_col1\" class=\"data row5 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row5_col2\" class=\"data row5 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row6\" class=\"row_heading level0 row6\" >(1.16e+03, 1.21e+03]</th>\n",
       "      <td id=\"T_74273_row6_col0\" class=\"data row6 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row6_col1\" class=\"data row6 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row6_col2\" class=\"data row6 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row7\" class=\"row_heading level0 row7\" >(1.21e+03, 1.26e+03]</th>\n",
       "      <td id=\"T_74273_row7_col0\" class=\"data row7 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row7_col1\" class=\"data row7 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row7_col2\" class=\"data row7 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row8\" class=\"row_heading level0 row8\" >(1.26e+03, 1.31e+03]</th>\n",
       "      <td id=\"T_74273_row8_col0\" class=\"data row8 col0\" >0.3333</td>\n",
       "      <td id=\"T_74273_row8_col1\" class=\"data row8 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row8_col2\" class=\"data row8 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row9\" class=\"row_heading level0 row9\" >(1.31e+03, 1.37e+03]</th>\n",
       "      <td id=\"T_74273_row9_col0\" class=\"data row9 col0\" >0.4667</td>\n",
       "      <td id=\"T_74273_row9_col1\" class=\"data row9 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row9_col2\" class=\"data row9 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row10\" class=\"row_heading level0 row10\" >(1.37e+03, 1.41e+03]</th>\n",
       "      <td id=\"T_74273_row10_col0\" class=\"data row10 col0\" >0.1250</td>\n",
       "      <td id=\"T_74273_row10_col1\" class=\"data row10 col1\" >0.0267</td>\n",
       "      <td id=\"T_74273_row10_col2\" class=\"data row10 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row11\" class=\"row_heading level0 row11\" >(1.41e+03, 1.47e+03]</th>\n",
       "      <td id=\"T_74273_row11_col0\" class=\"data row11 col0\" >0.1429</td>\n",
       "      <td id=\"T_74273_row11_col1\" class=\"data row11 col1\" >0.0233</td>\n",
       "      <td id=\"T_74273_row11_col2\" class=\"data row11 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row12\" class=\"row_heading level0 row12\" >(1.47e+03, 1.53e+03]</th>\n",
       "      <td id=\"T_74273_row12_col0\" class=\"data row12 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row12_col1\" class=\"data row12 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row12_col2\" class=\"data row12 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row13\" class=\"row_heading level0 row13\" >(1.53e+03, 1.60e+03]</th>\n",
       "      <td id=\"T_74273_row13_col0\" class=\"data row13 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row13_col1\" class=\"data row13 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row13_col2\" class=\"data row13 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row14\" class=\"row_heading level0 row14\" >(1.60e+03, 1.82e+03]</th>\n",
       "      <td id=\"T_74273_row14_col0\" class=\"data row14 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row14_col1\" class=\"data row14 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row14_col2\" class=\"data row14 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row15\" class=\"row_heading level0 row15\" >(1.82e+03, 1.92e+03]</th>\n",
       "      <td id=\"T_74273_row15_col0\" class=\"data row15 col0\" >0.5000</td>\n",
       "      <td id=\"T_74273_row15_col1\" class=\"data row15 col1\" >0.0267</td>\n",
       "      <td id=\"T_74273_row15_col2\" class=\"data row15 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row16\" class=\"row_heading level0 row16\" >(1.92e+03, 1.98e+03]</th>\n",
       "      <td id=\"T_74273_row16_col0\" class=\"data row16 col0\" >0.2857</td>\n",
       "      <td id=\"T_74273_row16_col1\" class=\"data row16 col1\" >0.0233</td>\n",
       "      <td id=\"T_74273_row16_col2\" class=\"data row16 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row17\" class=\"row_heading level0 row17\" >(1.98e+03, 2.12e+03]</th>\n",
       "      <td id=\"T_74273_row17_col0\" class=\"data row17 col0\" >0.3333</td>\n",
       "      <td id=\"T_74273_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row17_col2\" class=\"data row17 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row18\" class=\"row_heading level0 row18\" >(2.12e+03, 2.21e+03]</th>\n",
       "      <td id=\"T_74273_row18_col0\" class=\"data row18 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row18_col1\" class=\"data row18 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row18_col2\" class=\"data row18 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row19\" class=\"row_heading level0 row19\" >(2.21e+03, 2.30e+03]</th>\n",
       "      <td id=\"T_74273_row19_col0\" class=\"data row19 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row19_col1\" class=\"data row19 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row19_col2\" class=\"data row19 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row20\" class=\"row_heading level0 row20\" >(2.30e+03, 2.38e+03]</th>\n",
       "      <td id=\"T_74273_row20_col0\" class=\"data row20 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row20_col1\" class=\"data row20 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row20_col2\" class=\"data row20 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row21\" class=\"row_heading level0 row21\" >(2.38e+03, 2.48e+03]</th>\n",
       "      <td id=\"T_74273_row21_col0\" class=\"data row21 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row21_col1\" class=\"data row21 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row21_col2\" class=\"data row21 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row22\" class=\"row_heading level0 row22\" >(2.48e+03, 2.62e+03]</th>\n",
       "      <td id=\"T_74273_row22_col0\" class=\"data row22 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row22_col1\" class=\"data row22 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row22_col2\" class=\"data row22 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row23\" class=\"row_heading level0 row23\" >(2.62e+03, 2.75e+03]</th>\n",
       "      <td id=\"T_74273_row23_col0\" class=\"data row23 col0\" >0.3333</td>\n",
       "      <td id=\"T_74273_row23_col1\" class=\"data row23 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row23_col2\" class=\"data row23 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row24\" class=\"row_heading level0 row24\" >(2.75e+03, 2.92e+03]</th>\n",
       "      <td id=\"T_74273_row24_col0\" class=\"data row24 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row24_col1\" class=\"data row24 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row24_col2\" class=\"data row24 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row25\" class=\"row_heading level0 row25\" >(2.92e+03, 3.07e+03]</th>\n",
       "      <td id=\"T_74273_row25_col0\" class=\"data row25 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row25_col1\" class=\"data row25 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row25_col2\" class=\"data row25 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row26\" class=\"row_heading level0 row26\" >(3.07e+03, 3.35e+03]</th>\n",
       "      <td id=\"T_74273_row26_col0\" class=\"data row26 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row26_col1\" class=\"data row26 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row26_col2\" class=\"data row26 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row27\" class=\"row_heading level0 row27\" >(3.35e+03, 3.51e+03]</th>\n",
       "      <td id=\"T_74273_row27_col0\" class=\"data row27 col0\" >0.1333</td>\n",
       "      <td id=\"T_74273_row27_col1\" class=\"data row27 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row27_col2\" class=\"data row27 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row28\" class=\"row_heading level0 row28\" >(3.51e+03, 3.63e+03]</th>\n",
       "      <td id=\"T_74273_row28_col0\" class=\"data row28 col0\" >0.1333</td>\n",
       "      <td id=\"T_74273_row28_col1\" class=\"data row28 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row28_col2\" class=\"data row28 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row29\" class=\"row_heading level0 row29\" >(3.63e+03, 3.91e+03]</th>\n",
       "      <td id=\"T_74273_row29_col0\" class=\"data row29 col0\" >0.0667</td>\n",
       "      <td id=\"T_74273_row29_col1\" class=\"data row29 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row29_col2\" class=\"data row29 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row30\" class=\"row_heading level0 row30\" >(3.91e+03, 4.24e+03]</th>\n",
       "      <td id=\"T_74273_row30_col0\" class=\"data row30 col0\" >0.4667</td>\n",
       "      <td id=\"T_74273_row30_col1\" class=\"data row30 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row30_col2\" class=\"data row30 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row31\" class=\"row_heading level0 row31\" >(4.24e+03, 4.66e+03]</th>\n",
       "      <td id=\"T_74273_row31_col0\" class=\"data row31 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row31_col1\" class=\"data row31 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row31_col2\" class=\"data row31 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row32\" class=\"row_heading level0 row32\" >(4.66e+03, 5.08e+03]</th>\n",
       "      <td id=\"T_74273_row32_col0\" class=\"data row32 col0\" >0.4667</td>\n",
       "      <td id=\"T_74273_row32_col1\" class=\"data row32 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row32_col2\" class=\"data row32 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row33\" class=\"row_heading level0 row33\" >(5.08e+03, 5.80e+03]</th>\n",
       "      <td id=\"T_74273_row33_col0\" class=\"data row33 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row33_col1\" class=\"data row33 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row33_col2\" class=\"data row33 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row34\" class=\"row_heading level0 row34\" >(5.80e+03, 6.36e+03]</th>\n",
       "      <td id=\"T_74273_row34_col0\" class=\"data row34 col0\" >0.2667</td>\n",
       "      <td id=\"T_74273_row34_col1\" class=\"data row34 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row34_col2\" class=\"data row34 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row35\" class=\"row_heading level0 row35\" >(6.36e+03, 6.85e+03]</th>\n",
       "      <td id=\"T_74273_row35_col0\" class=\"data row35 col0\" >0.4667</td>\n",
       "      <td id=\"T_74273_row35_col1\" class=\"data row35 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row35_col2\" class=\"data row35 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row36\" class=\"row_heading level0 row36\" >(6.85e+03, 7.48e+03]</th>\n",
       "      <td id=\"T_74273_row36_col0\" class=\"data row36 col0\" >0.2000</td>\n",
       "      <td id=\"T_74273_row36_col1\" class=\"data row36 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row36_col2\" class=\"data row36 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row37\" class=\"row_heading level0 row37\" >(7.48e+03, 8.23e+03]</th>\n",
       "      <td id=\"T_74273_row37_col0\" class=\"data row37 col0\" >0.4667</td>\n",
       "      <td id=\"T_74273_row37_col1\" class=\"data row37 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row37_col2\" class=\"data row37 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row38\" class=\"row_heading level0 row38\" >(8.23e+03, 9.57e+03]</th>\n",
       "      <td id=\"T_74273_row38_col0\" class=\"data row38 col0\" >0.4000</td>\n",
       "      <td id=\"T_74273_row38_col1\" class=\"data row38 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row38_col2\" class=\"data row38 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_74273_level0_row39\" class=\"row_heading level0 row39\" >(9.57e+03, inf)</th>\n",
       "      <td id=\"T_74273_row39_col0\" class=\"data row39 col0\" >0.5333</td>\n",
       "      <td id=\"T_74273_row39_col1\" class=\"data row39 col1\" >0.0250</td>\n",
       "      <td id=\"T_74273_row39_col2\" class=\"data row39 col2\" >15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "          <style type=\"text/css\">\n",
       "#T_9c65f_row0_col0, #T_9c65f_row1_col2, #T_9c65f_row12_col2, #T_9c65f_row16_col2, #T_9c65f_row23_col2, #T_9c65f_row24_col2, #T_9c65f_row26_col0, #T_9c65f_row30_col2, #T_9c65f_row35_col2 {\n",
       "  background-color: #8db0fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row0_col1, #T_9c65f_row0_col2, #T_9c65f_row31_col1, #T_9c65f_row31_col2, #T_9c65f_row33_col1, #T_9c65f_row33_col2 {\n",
       "  background-color: #aac7fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row1_col0, #T_9c65f_row2_col0, #T_9c65f_row6_col0, #T_9c65f_row18_col0, #T_9c65f_row19_col0, #T_9c65f_row27_col0 {\n",
       "  background-color: #f5c4ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row1_col1, #T_9c65f_row12_col1, #T_9c65f_row16_col1, #T_9c65f_row23_col1, #T_9c65f_row24_col1, #T_9c65f_row30_col1, #T_9c65f_row35_col1 {\n",
       "  background-color: #8caffe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row2_col1, #T_9c65f_row2_col2, #T_9c65f_row4_col0, #T_9c65f_row4_col1, #T_9c65f_row4_col2, #T_9c65f_row7_col0, #T_9c65f_row11_col0, #T_9c65f_row11_col1, #T_9c65f_row11_col2, #T_9c65f_row14_col0, #T_9c65f_row14_col1, #T_9c65f_row14_col2, #T_9c65f_row25_col0, #T_9c65f_row28_col1, #T_9c65f_row28_col2, #T_9c65f_row32_col0 {\n",
       "  background-color: #c5d6f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row3_col0, #T_9c65f_row8_col0, #T_9c65f_row10_col0, #T_9c65f_row13_col0, #T_9c65f_row17_col0, #T_9c65f_row20_col0, #T_9c65f_row21_col0, #T_9c65f_row21_col1, #T_9c65f_row21_col2, #T_9c65f_row23_col0, #T_9c65f_row24_col0, #T_9c65f_row28_col0, #T_9c65f_row35_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row3_col1, #T_9c65f_row3_col2, #T_9c65f_row6_col1, #T_9c65f_row6_col2, #T_9c65f_row8_col1, #T_9c65f_row8_col2, #T_9c65f_row18_col1, #T_9c65f_row18_col2, #T_9c65f_row19_col1, #T_9c65f_row19_col2 {\n",
       "  background-color: #5470de;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row5_col0 {\n",
       "  background-color: #7396f5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row5_col1, #T_9c65f_row5_col2, #T_9c65f_row9_col1, #T_9c65f_row9_col2, #T_9c65f_row15_col1, #T_9c65f_row15_col2, #T_9c65f_row33_col0, #T_9c65f_row34_col1, #T_9c65f_row34_col2 {\n",
       "  background-color: #dddcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row7_col1, #T_9c65f_row7_col2 {\n",
       "  background-color: #d1493f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row9_col0, #T_9c65f_row15_col0, #T_9c65f_row34_col0 {\n",
       "  background-color: #b2ccfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row10_col1, #T_9c65f_row10_col2, #T_9c65f_row13_col1, #T_9c65f_row13_col2, #T_9c65f_row20_col1, #T_9c65f_row20_col2, #T_9c65f_row22_col1, #T_9c65f_row22_col2, #T_9c65f_row25_col1, #T_9c65f_row25_col2, #T_9c65f_row32_col1, #T_9c65f_row32_col2, #T_9c65f_row36_col1, #T_9c65f_row36_col2, #T_9c65f_row37_col1, #T_9c65f_row37_col2, #T_9c65f_row38_col1, #T_9c65f_row38_col2 {\n",
       "  background-color: #6f92f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row12_col0, #T_9c65f_row16_col0, #T_9c65f_row30_col0 {\n",
       "  background-color: #a3c2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row17_col1, #T_9c65f_row17_col2, #T_9c65f_row27_col1, #T_9c65f_row27_col2 {\n",
       "  background-color: #efcebd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row22_col0, #T_9c65f_row36_col0, #T_9c65f_row37_col0, #T_9c65f_row38_col0 {\n",
       "  background-color: #e7745b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row26_col1, #T_9c65f_row26_col2, #T_9c65f_row29_col1, #T_9c65f_row29_col2 {\n",
       "  background-color: #f4987a;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9c65f_row29_col0 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row31_col0, #T_9c65f_row39_col1, #T_9c65f_row39_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9c65f_row39_col0 {\n",
       "  background-color: #f29274;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_9c65f\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_9c65f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_9c65f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_9c65f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row0_col0\" class=\"data row0 col0\" >0.2000</td>\n",
       "      <td id=\"T_9c65f_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
       "      <td id=\"T_9c65f_row0_col2\" class=\"data row0 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row1_col0\" class=\"data row1 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row1_col1\" class=\"data row1 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row1_col2\" class=\"data row1 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row2_col0\" class=\"data row2 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row2_col1\" class=\"data row2 col1\" >0.0300</td>\n",
       "      <td id=\"T_9c65f_row2_col2\" class=\"data row2 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row3_col0\" class=\"data row3 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row3_col1\" class=\"data row3 col1\" >0.0100</td>\n",
       "      <td id=\"T_9c65f_row3_col2\" class=\"data row3 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row4_col0\" class=\"data row4 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row4_col1\" class=\"data row4 col1\" >0.0300</td>\n",
       "      <td id=\"T_9c65f_row4_col2\" class=\"data row4 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row5_col0\" class=\"data row5 col0\" >0.1429</td>\n",
       "      <td id=\"T_9c65f_row5_col1\" class=\"data row5 col1\" >0.0350</td>\n",
       "      <td id=\"T_9c65f_row5_col2\" class=\"data row5 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row6_col0\" class=\"data row6 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row6_col1\" class=\"data row6 col1\" >0.0100</td>\n",
       "      <td id=\"T_9c65f_row6_col2\" class=\"data row6 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row7_col0\" class=\"data row7 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row7_col1\" class=\"data row7 col1\" >0.0600</td>\n",
       "      <td id=\"T_9c65f_row7_col2\" class=\"data row7 col2\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row8_col0\" class=\"data row8 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row8_col1\" class=\"data row8 col1\" >0.0100</td>\n",
       "      <td id=\"T_9c65f_row8_col2\" class=\"data row8 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row9_col0\" class=\"data row9 col0\" >0.2857</td>\n",
       "      <td id=\"T_9c65f_row9_col1\" class=\"data row9 col1\" >0.0350</td>\n",
       "      <td id=\"T_9c65f_row9_col2\" class=\"data row9 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row10_col0\" class=\"data row10 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row10_col1\" class=\"data row10 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row10_col2\" class=\"data row10 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row11_col0\" class=\"data row11 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row11_col1\" class=\"data row11 col1\" >0.0300</td>\n",
       "      <td id=\"T_9c65f_row11_col2\" class=\"data row11 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row12_col0\" class=\"data row12 col0\" >0.2500</td>\n",
       "      <td id=\"T_9c65f_row12_col1\" class=\"data row12 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row12_col2\" class=\"data row12 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row13_col0\" class=\"data row13 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row13_col1\" class=\"data row13 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row13_col2\" class=\"data row13 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row14_col0\" class=\"data row14 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row14_col1\" class=\"data row14 col1\" >0.0300</td>\n",
       "      <td id=\"T_9c65f_row14_col2\" class=\"data row14 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row15_col0\" class=\"data row15 col0\" >0.2857</td>\n",
       "      <td id=\"T_9c65f_row15_col1\" class=\"data row15 col1\" >0.0350</td>\n",
       "      <td id=\"T_9c65f_row15_col2\" class=\"data row15 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row16_col0\" class=\"data row16 col0\" >0.2500</td>\n",
       "      <td id=\"T_9c65f_row16_col1\" class=\"data row16 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row16_col2\" class=\"data row16 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row17_col0\" class=\"data row17 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row17_col1\" class=\"data row17 col1\" >0.0400</td>\n",
       "      <td id=\"T_9c65f_row17_col2\" class=\"data row17 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row18_col0\" class=\"data row18 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row18_col1\" class=\"data row18 col1\" >0.0100</td>\n",
       "      <td id=\"T_9c65f_row18_col2\" class=\"data row18 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row19_col0\" class=\"data row19 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row19_col1\" class=\"data row19 col1\" >0.0100</td>\n",
       "      <td id=\"T_9c65f_row19_col2\" class=\"data row19 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row20_col0\" class=\"data row20 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row20_col1\" class=\"data row20 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row20_col2\" class=\"data row20 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row21_col0\" class=\"data row21 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row21_col1\" class=\"data row21 col1\" >0.0050</td>\n",
       "      <td id=\"T_9c65f_row21_col2\" class=\"data row21 col2\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row22_col0\" class=\"data row22 col0\" >0.6667</td>\n",
       "      <td id=\"T_9c65f_row22_col1\" class=\"data row22 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row22_col2\" class=\"data row22 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row23_col0\" class=\"data row23 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row23_col1\" class=\"data row23 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row23_col2\" class=\"data row23 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row24_col0\" class=\"data row24 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row24_col1\" class=\"data row24 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row24_col2\" class=\"data row24 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row25_col0\" class=\"data row25 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row25_col1\" class=\"data row25 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row25_col2\" class=\"data row25 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row26_col0\" class=\"data row26 col0\" >0.2000</td>\n",
       "      <td id=\"T_9c65f_row26_col1\" class=\"data row26 col1\" >0.0500</td>\n",
       "      <td id=\"T_9c65f_row26_col2\" class=\"data row26 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row27_col0\" class=\"data row27 col0\" >0.5000</td>\n",
       "      <td id=\"T_9c65f_row27_col1\" class=\"data row27 col1\" >0.0400</td>\n",
       "      <td id=\"T_9c65f_row27_col2\" class=\"data row27 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row28_col0\" class=\"data row28 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row28_col1\" class=\"data row28 col1\" >0.0300</td>\n",
       "      <td id=\"T_9c65f_row28_col2\" class=\"data row28 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row29_col0\" class=\"data row29 col0\" >0.1000</td>\n",
       "      <td id=\"T_9c65f_row29_col1\" class=\"data row29 col1\" >0.0500</td>\n",
       "      <td id=\"T_9c65f_row29_col2\" class=\"data row29 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row30_col0\" class=\"data row30 col0\" >0.2500</td>\n",
       "      <td id=\"T_9c65f_row30_col1\" class=\"data row30 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row30_col2\" class=\"data row30 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row31_col0\" class=\"data row31 col0\" >0.8000</td>\n",
       "      <td id=\"T_9c65f_row31_col1\" class=\"data row31 col1\" >0.0250</td>\n",
       "      <td id=\"T_9c65f_row31_col2\" class=\"data row31 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row32_col0\" class=\"data row32 col0\" >0.3333</td>\n",
       "      <td id=\"T_9c65f_row32_col1\" class=\"data row32 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row32_col2\" class=\"data row32 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row33_col0\" class=\"data row33 col0\" >0.4000</td>\n",
       "      <td id=\"T_9c65f_row33_col1\" class=\"data row33 col1\" >0.0250</td>\n",
       "      <td id=\"T_9c65f_row33_col2\" class=\"data row33 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row34_col0\" class=\"data row34 col0\" >0.2857</td>\n",
       "      <td id=\"T_9c65f_row34_col1\" class=\"data row34 col1\" >0.0350</td>\n",
       "      <td id=\"T_9c65f_row34_col2\" class=\"data row34 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row35_col0\" class=\"data row35 col0\" >0.0000</td>\n",
       "      <td id=\"T_9c65f_row35_col1\" class=\"data row35 col1\" >0.0200</td>\n",
       "      <td id=\"T_9c65f_row35_col2\" class=\"data row35 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row36_col0\" class=\"data row36 col0\" >0.6667</td>\n",
       "      <td id=\"T_9c65f_row36_col1\" class=\"data row36 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row36_col2\" class=\"data row36 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row37_col0\" class=\"data row37 col0\" >0.6667</td>\n",
       "      <td id=\"T_9c65f_row37_col1\" class=\"data row37 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row37_col2\" class=\"data row37 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row38_col0\" class=\"data row38 col0\" >0.6667</td>\n",
       "      <td id=\"T_9c65f_row38_col1\" class=\"data row38 col1\" >0.0150</td>\n",
       "      <td id=\"T_9c65f_row38_col2\" class=\"data row38 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9c65f_row39_col0\" class=\"data row39 col0\" >0.6154</td>\n",
       "      <td id=\"T_9c65f_row39_col1\" class=\"data row39 col1\" >0.0650</td>\n",
       "      <td id=\"T_9c65f_row39_col2\" class=\"data row39 col2\" >13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "#T_1ab20_row0_col1, #T_1ab20_row0_col2, #T_1ab20_row4_col0 {\n",
       "  background-color: #b40426;\n",
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       "#T_1ab20_row2_col1, #T_1ab20_row2_col2, #T_1ab20_row4_col1, #T_1ab20_row4_col2 {\n",
       "  background-color: #455cce;\n",
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       "#T_1ab20_row3_col1, #T_1ab20_row3_col2 {\n",
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_1ab20\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_1ab20_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_1ab20_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_1ab20_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_1ab20_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 3.51e+03]</th>\n",
       "      <td id=\"T_1ab20_row0_col0\" class=\"data row0 col0\" >0.2833</td>\n",
       "      <td id=\"T_1ab20_row0_col1\" class=\"data row0 col1\" >0.7000</td>\n",
       "      <td id=\"T_1ab20_row0_col2\" class=\"data row0 col2\" >420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1ab20_level0_row1\" class=\"row_heading level0 row1\" >(3.51e+03, 3.91e+03]</th>\n",
       "      <td id=\"T_1ab20_row1_col0\" class=\"data row1 col0\" >0.1000</td>\n",
       "      <td id=\"T_1ab20_row1_col1\" class=\"data row1 col1\" >0.0500</td>\n",
       "      <td id=\"T_1ab20_row1_col2\" class=\"data row1 col2\" >30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1ab20_level0_row2\" class=\"row_heading level0 row2\" >(3.91e+03, 5.08e+03]</th>\n",
       "      <td id=\"T_1ab20_row2_col0\" class=\"data row2 col0\" >0.4444</td>\n",
       "      <td id=\"T_1ab20_row2_col1\" class=\"data row2 col1\" >0.0750</td>\n",
       "      <td id=\"T_1ab20_row2_col2\" class=\"data row2 col2\" >45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1ab20_level0_row3\" class=\"row_heading level0 row3\" >(5.08e+03, 7.48e+03]</th>\n",
       "      <td id=\"T_1ab20_row3_col0\" class=\"data row3 col0\" >0.2833</td>\n",
       "      <td id=\"T_1ab20_row3_col1\" class=\"data row3 col1\" >0.1000</td>\n",
       "      <td id=\"T_1ab20_row3_col2\" class=\"data row3 col2\" >60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1ab20_level0_row4\" class=\"row_heading level0 row4\" >(7.48e+03, inf)</th>\n",
       "      <td id=\"T_1ab20_row4_col0\" class=\"data row4 col0\" >0.4667</td>\n",
       "      <td id=\"T_1ab20_row4_col1\" class=\"data row4 col1\" >0.0750</td>\n",
       "      <td id=\"T_1ab20_row4_col2\" class=\"data row4 col2\" >45</td>\n",
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       "#T_d0bc3_row0_col1, #T_d0bc3_row0_col2, #T_d0bc3_row4_col0 {\n",
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       "  color: #f1f1f1;\n",
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       "  color: #f1f1f1;\n",
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       "#T_d0bc3_row1_col1, #T_d0bc3_row1_col2 {\n",
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       "  background-color: #f29274;\n",
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       "#T_d0bc3_row3_col0 {\n",
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       "  color: #000000;\n",
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       "#T_d0bc3_row3_col1, #T_d0bc3_row3_col2, #T_d0bc3_row4_col1, #T_d0bc3_row4_col2 {\n",
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       "<table id=\"T_d0bc3\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_d0bc3_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d0bc3_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d0bc3_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_d0bc3_row0_col0\" class=\"data row0 col0\" >0.2612</td>\n",
       "      <td id=\"T_d0bc3_row0_col1\" class=\"data row0 col1\" >0.6700</td>\n",
       "      <td id=\"T_d0bc3_row0_col2\" class=\"data row0 col2\" >134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d0bc3_row1_col0\" class=\"data row1 col0\" >0.0625</td>\n",
       "      <td id=\"T_d0bc3_row1_col1\" class=\"data row1 col1\" >0.0800</td>\n",
       "      <td id=\"T_d0bc3_row1_col2\" class=\"data row1 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d0bc3_row2_col0\" class=\"data row2 col0\" >0.5000</td>\n",
       "      <td id=\"T_d0bc3_row2_col1\" class=\"data row2 col1\" >0.0600</td>\n",
       "      <td id=\"T_d0bc3_row2_col2\" class=\"data row2 col2\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d0bc3_row3_col0\" class=\"data row3 col0\" >0.3158</td>\n",
       "      <td id=\"T_d0bc3_row3_col1\" class=\"data row3 col1\" >0.0950</td>\n",
       "      <td id=\"T_d0bc3_row3_col2\" class=\"data row3 col2\" >19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d0bc3_row4_col0\" class=\"data row4 col0\" >0.6316</td>\n",
       "      <td id=\"T_d0bc3_row4_col1\" class=\"data row4 col1\" >0.0950</td>\n",
       "      <td id=\"T_d0bc3_row4_col2\" class=\"data row4 col2\" >19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
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     },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Numerical('installment_commitment') (16/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
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       "#T_d5882_row1_col1, #T_d5882_row1_col2 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d5882_row2_col0 {\n",
       "  background-color: #f0cdbb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d5882_row2_col1, #T_d5882_row2_col2 {\n",
       "  background-color: #516ddb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d5882_row3_col0, #T_d5882_row3_col1, #T_d5882_row3_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_d5882\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_d5882_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d5882_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d5882_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_d5882_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 1.00e+00]</th>\n",
       "      <td id=\"T_d5882_row0_col0\" class=\"data row0 col0\" >0.2436</td>\n",
       "      <td id=\"T_d5882_row0_col1\" class=\"data row0 col1\" >0.1300</td>\n",
       "      <td id=\"T_d5882_row0_col2\" class=\"data row0 col2\" >78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_d5882_level0_row1\" class=\"row_heading level0 row1\" >(1.00e+00, 2.00e+00]</th>\n",
       "      <td id=\"T_d5882_row1_col0\" class=\"data row1 col0\" >0.2606</td>\n",
       "      <td id=\"T_d5882_row1_col1\" class=\"data row1 col1\" >0.2367</td>\n",
       "      <td id=\"T_d5882_row1_col2\" class=\"data row1 col2\" >142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_d5882_level0_row2\" class=\"row_heading level0 row2\" >(2.00e+00, 3.00e+00]</th>\n",
       "      <td id=\"T_d5882_row2_col0\" class=\"data row2 col0\" >0.2979</td>\n",
       "      <td id=\"T_d5882_row2_col1\" class=\"data row2 col1\" >0.1567</td>\n",
       "      <td id=\"T_d5882_row2_col2\" class=\"data row2 col2\" >94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_d5882_level0_row3\" class=\"row_heading level0 row3\" >(3.00e+00, inf)</th>\n",
       "      <td id=\"T_d5882_row3_col0\" class=\"data row3 col0\" >0.3357</td>\n",
       "      <td id=\"T_d5882_row3_col1\" class=\"data row3 col1\" >0.4767</td>\n",
       "      <td id=\"T_d5882_row3_col2\" class=\"data row3 col2\" >286</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "#T_d1ac4_row0_col0, #T_d1ac4_row0_col1, #T_d1ac4_row0_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d1ac4_row1_col0 {\n",
       "  background-color: #edd2c3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d1ac4_row1_col1, #T_d1ac4_row1_col2 {\n",
       "  background-color: #8badfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d1ac4_row2_col0 {\n",
       "  background-color: #d7dce3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d1ac4_row2_col1, #T_d1ac4_row2_col2 {\n",
       "  background-color: #3e51c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d1ac4_row3_col0, #T_d1ac4_row3_col1, #T_d1ac4_row3_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_d1ac4\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_d1ac4_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d1ac4_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d1ac4_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_d1ac4_row0_col0\" class=\"data row0 col0\" >0.1071</td>\n",
       "      <td id=\"T_d1ac4_row0_col1\" class=\"data row0 col1\" >0.1400</td>\n",
       "      <td id=\"T_d1ac4_row0_col2\" class=\"data row0 col2\" >28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d1ac4_row1_col0\" class=\"data row1 col0\" >0.2667</td>\n",
       "      <td id=\"T_d1ac4_row1_col1\" class=\"data row1 col1\" >0.2250</td>\n",
       "      <td id=\"T_d1ac4_row1_col2\" class=\"data row1 col2\" >45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d1ac4_row2_col0\" class=\"data row2 col0\" >0.2414</td>\n",
       "      <td id=\"T_d1ac4_row2_col1\" class=\"data row2 col1\" >0.1450</td>\n",
       "      <td id=\"T_d1ac4_row2_col2\" class=\"data row2 col2\" >29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d1ac4_row3_col0\" class=\"data row3 col0\" >0.3878</td>\n",
       "      <td id=\"T_d1ac4_row3_col1\" class=\"data row3 col1\" >0.4900</td>\n",
       "      <td id=\"T_d1ac4_row3_col2\" class=\"data row3 col2\" >98</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
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       "#T_7b9eb_row2_col0, #T_7b9eb_row2_col1, #T_7b9eb_row2_col2 {\n",
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       "<table id=\"T_7b9eb\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_7b9eb_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_7b9eb_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_7b9eb_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_7b9eb_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 2.00e+00]</th>\n",
       "      <td id=\"T_7b9eb_row0_col0\" class=\"data row0 col0\" >0.2545</td>\n",
       "      <td id=\"T_7b9eb_row0_col1\" class=\"data row0 col1\" >0.3667</td>\n",
       "      <td id=\"T_7b9eb_row0_col2\" class=\"data row0 col2\" >220</td>\n",
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       "      <th id=\"T_7b9eb_level0_row1\" class=\"row_heading level0 row1\" >(2.00e+00, 3.00e+00]</th>\n",
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       "      <td id=\"T_7b9eb_row2_col0\" class=\"data row2 col0\" >0.3357</td>\n",
       "      <td id=\"T_7b9eb_row2_col1\" class=\"data row2 col1\" >0.4767</td>\n",
       "      <td id=\"T_7b9eb_row2_col2\" class=\"data row2 col2\" >286</td>\n",
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       "#T_ca471_row1_col0 {\n",
       "  background-color: #7a9df8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ca471_row2_col0, #T_ca471_row2_col1, #T_ca471_row2_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_ca471\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ca471_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_ca471_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_ca471_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_ca471_row0_col0\" class=\"data row0 col0\" >0.2055</td>\n",
       "      <td id=\"T_ca471_row0_col1\" class=\"data row0 col1\" >0.3650</td>\n",
       "      <td id=\"T_ca471_row0_col2\" class=\"data row0 col2\" >73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ca471_row1_col0\" class=\"data row1 col0\" >0.2414</td>\n",
       "      <td id=\"T_ca471_row1_col1\" class=\"data row1 col1\" >0.1450</td>\n",
       "      <td id=\"T_ca471_row1_col2\" class=\"data row1 col2\" >29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ca471_row2_col0\" class=\"data row2 col0\" >0.3878</td>\n",
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       "      <td id=\"T_ca471_row2_col2\" class=\"data row2 col2\" >98</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Numerical('residence_since') (17/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
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       "<table id=\"T_c55e4\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_c55e4_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_c55e4_row0_col0\" class=\"data row0 col0\" >0.3117</td>\n",
       "      <td id=\"T_c55e4_row0_col1\" class=\"data row0 col1\" >0.1283</td>\n",
       "      <td id=\"T_c55e4_row0_col2\" class=\"data row0 col2\" >77</td>\n",
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       "      <td id=\"T_c55e4_row1_col1\" class=\"data row1 col1\" >0.2983</td>\n",
       "      <td id=\"T_c55e4_row1_col2\" class=\"data row1 col2\" >179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c55e4_level0_row2\" class=\"row_heading level0 row2\" >(2.00e+00, 3.00e+00]</th>\n",
       "      <td id=\"T_c55e4_row2_col0\" class=\"data row2 col0\" >0.3000</td>\n",
       "      <td id=\"T_c55e4_row2_col1\" class=\"data row2 col1\" >0.1667</td>\n",
       "      <td id=\"T_c55e4_row2_col2\" class=\"data row2 col2\" >100</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_c55e4_row3_col1\" class=\"data row3 col1\" >0.4067</td>\n",
       "      <td id=\"T_c55e4_row3_col2\" class=\"data row3 col2\" >244</td>\n",
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       "#T_b6cc8_row1_col1, #T_b6cc8_row1_col2 {\n",
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       "#T_b6cc8_row2_col1 {\n",
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       "#T_b6cc8_row2_col2 {\n",
       "  background-color: #6282ea;\n",
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       "</style>\n",
       "<table id=\"T_b6cc8\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_b6cc8_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_b6cc8_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_b6cc8_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_b6cc8_row0_col0\" class=\"data row0 col0\" >0.2174</td>\n",
       "      <td id=\"T_b6cc8_row0_col1\" class=\"data row0 col1\" >0.1150</td>\n",
       "      <td id=\"T_b6cc8_row0_col2\" class=\"data row0 col2\" >23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b6cc8_row1_col0\" class=\"data row1 col0\" >0.3529</td>\n",
       "      <td id=\"T_b6cc8_row1_col1\" class=\"data row1 col1\" >0.3400</td>\n",
       "      <td id=\"T_b6cc8_row1_col2\" class=\"data row1 col2\" >68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b6cc8_row2_col0\" class=\"data row2 col0\" >0.3333</td>\n",
       "      <td id=\"T_b6cc8_row2_col1\" class=\"data row2 col1\" >0.1500</td>\n",
       "      <td id=\"T_b6cc8_row2_col2\" class=\"data row2 col2\" >30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_b6cc8_row3_col0\" class=\"data row3 col0\" >0.2658</td>\n",
       "      <td id=\"T_b6cc8_row3_col1\" class=\"data row3 col1\" >0.3950</td>\n",
       "      <td id=\"T_b6cc8_row3_col2\" class=\"data row3 col2\" >79</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
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    {
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     "output_type": "stream",
     "text": [
      "WARNING: No robust combination for Numerical('residence_since'). Consider increasing the size of X_dev or dropping the feature (X not representative of X_dev for this feature).\n",
      "--- [BinaryCarver] Fit Numerical('age') (18/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
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       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row2_col0 {\n",
       "  background-color: #e97a5f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row2_col1, #T_3f8b9_row2_col2, #T_3f8b9_row11_col1, #T_3f8b9_row11_col2 {\n",
       "  background-color: #d6dce4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row3_col0, #T_3f8b9_row16_col0, #T_3f8b9_row27_col0 {\n",
       "  background-color: #dfdbd9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row3_col1, #T_3f8b9_row3_col2, #T_3f8b9_row21_col1, #T_3f8b9_row21_col2 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row4_col0, #T_3f8b9_row4_col1, #T_3f8b9_row4_col2, #T_3f8b9_row6_col1, #T_3f8b9_row6_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row5_col0, #T_3f8b9_row11_col0, #T_3f8b9_row17_col1, #T_3f8b9_row17_col2, #T_3f8b9_row28_col1, #T_3f8b9_row28_col2 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row5_col1, #T_3f8b9_row5_col2, #T_3f8b9_row9_col1, #T_3f8b9_row9_col2 {\n",
       "  background-color: #e26952;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row6_col0 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row7_col0 {\n",
       "  background-color: #f7a889;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row7_col1, #T_3f8b9_row7_col2, #T_3f8b9_row12_col1, #T_3f8b9_row12_col2, #T_3f8b9_row13_col1, #T_3f8b9_row13_col2, #T_3f8b9_row19_col1, #T_3f8b9_row19_col2 {\n",
       "  background-color: #edd1c2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row8_col0, #T_3f8b9_row15_col1, #T_3f8b9_row15_col2 {\n",
       "  background-color: #f7b89c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row8_col1, #T_3f8b9_row8_col2 {\n",
       "  background-color: #f4c6af;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row9_col0, #T_3f8b9_row24_col1, #T_3f8b9_row24_col2, #T_3f8b9_row25_col1, #T_3f8b9_row25_col2 {\n",
       "  background-color: #779af7;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row10_col1, #T_3f8b9_row10_col2 {\n",
       "  background-color: #f39475;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row12_col0, #T_3f8b9_row13_col0 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row14_col0 {\n",
       "  background-color: #536edd;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row14_col1, #T_3f8b9_row14_col2 {\n",
       "  background-color: #d55042;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row15_col0 {\n",
       "  background-color: #7295f4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row17_col0 {\n",
       "  background-color: #5f7fe8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row18_col0, #T_3f8b9_row26_col0 {\n",
       "  background-color: #c1d4f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row18_col1, #T_3f8b9_row18_col2, #T_3f8b9_row26_col1, #T_3f8b9_row26_col2 {\n",
       "  background-color: #aac7fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row19_col0 {\n",
       "  background-color: #d5dbe5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row20_col0 {\n",
       "  background-color: #afcafc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row20_col1, #T_3f8b9_row20_col2 {\n",
       "  background-color: #4961d2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row21_col0 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row22_col0 {\n",
       "  background-color: #a6c4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_3f8b9_row23_col1, #T_3f8b9_row23_col2, #T_3f8b9_row24_col0, #T_3f8b9_row25_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row27_col1, #T_3f8b9_row27_col2 {\n",
       "  background-color: #5875e1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row28_col0 {\n",
       "  background-color: #ef886b;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_3f8b9_row29_col0 {\n",
       "  background-color: #a9c6fd;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_3f8b9\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_3f8b9_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_3f8b9_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_3f8b9_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 2.10e+01]</th>\n",
       "      <td id=\"T_3f8b9_row0_col0\" class=\"data row0 col0\" >0.4000</td>\n",
       "      <td id=\"T_3f8b9_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
       "      <td id=\"T_3f8b9_row0_col2\" class=\"data row0 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row1\" class=\"row_heading level0 row1\" >(2.10e+01, 2.20e+01]</th>\n",
       "      <td id=\"T_3f8b9_row1_col0\" class=\"data row1 col0\" >0.3684</td>\n",
       "      <td id=\"T_3f8b9_row1_col1\" class=\"data row1 col1\" >0.0317</td>\n",
       "      <td id=\"T_3f8b9_row1_col2\" class=\"data row1 col2\" >19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row2\" class=\"row_heading level0 row2\" >(2.20e+01, 2.30e+01]</th>\n",
       "      <td id=\"T_3f8b9_row2_col0\" class=\"data row2 col0\" >0.4500</td>\n",
       "      <td id=\"T_3f8b9_row2_col1\" class=\"data row2 col1\" >0.0333</td>\n",
       "      <td id=\"T_3f8b9_row2_col2\" class=\"data row2 col2\" >20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row3\" class=\"row_heading level0 row3\" >(2.30e+01, 2.40e+01]</th>\n",
       "      <td id=\"T_3f8b9_row3_col0\" class=\"data row3 col0\" >0.3333</td>\n",
       "      <td id=\"T_3f8b9_row3_col1\" class=\"data row3 col1\" >0.0350</td>\n",
       "      <td id=\"T_3f8b9_row3_col2\" class=\"data row3 col2\" >21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row4\" class=\"row_heading level0 row4\" >(2.40e+01, 2.50e+01]</th>\n",
       "      <td id=\"T_3f8b9_row4_col0\" class=\"data row4 col0\" >0.5161</td>\n",
       "      <td id=\"T_3f8b9_row4_col1\" class=\"data row4 col1\" >0.0517</td>\n",
       "      <td id=\"T_3f8b9_row4_col2\" class=\"data row4 col2\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row5\" class=\"row_heading level0 row5\" >(2.50e+01, 2.60e+01]</th>\n",
       "      <td id=\"T_3f8b9_row5_col0\" class=\"data row5 col0\" >0.2500</td>\n",
       "      <td id=\"T_3f8b9_row5_col1\" class=\"data row5 col1\" >0.0467</td>\n",
       "      <td id=\"T_3f8b9_row5_col2\" class=\"data row5 col2\" >28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row6\" class=\"row_heading level0 row6\" >(2.60e+01, 2.70e+01]</th>\n",
       "      <td id=\"T_3f8b9_row6_col0\" class=\"data row6 col0\" >0.2258</td>\n",
       "      <td id=\"T_3f8b9_row6_col1\" class=\"data row6 col1\" >0.0517</td>\n",
       "      <td id=\"T_3f8b9_row6_col2\" class=\"data row6 col2\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row7\" class=\"row_heading level0 row7\" >(2.70e+01, 2.80e+01]</th>\n",
       "      <td id=\"T_3f8b9_row7_col0\" class=\"data row7 col0\" >0.4091</td>\n",
       "      <td id=\"T_3f8b9_row7_col1\" class=\"data row7 col1\" >0.0367</td>\n",
       "      <td id=\"T_3f8b9_row7_col2\" class=\"data row7 col2\" >22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row8\" class=\"row_heading level0 row8\" >(2.80e+01, 2.90e+01]</th>\n",
       "      <td id=\"T_3f8b9_row8_col0\" class=\"data row8 col0\" >0.3913</td>\n",
       "      <td id=\"T_3f8b9_row8_col1\" class=\"data row8 col1\" >0.0383</td>\n",
       "      <td id=\"T_3f8b9_row8_col2\" class=\"data row8 col2\" >23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row9\" class=\"row_heading level0 row9\" >(2.90e+01, 3.00e+01]</th>\n",
       "      <td id=\"T_3f8b9_row9_col0\" class=\"data row9 col0\" >0.2143</td>\n",
       "      <td id=\"T_3f8b9_row9_col1\" class=\"data row9 col1\" >0.0467</td>\n",
       "      <td id=\"T_3f8b9_row9_col2\" class=\"data row9 col2\" >28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row10\" class=\"row_heading level0 row10\" >(3.00e+01, 3.10e+01]</th>\n",
       "      <td id=\"T_3f8b9_row10_col0\" class=\"data row10 col0\" >0.2308</td>\n",
       "      <td id=\"T_3f8b9_row10_col1\" class=\"data row10 col1\" >0.0433</td>\n",
       "      <td id=\"T_3f8b9_row10_col2\" class=\"data row10 col2\" >26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row11\" class=\"row_heading level0 row11\" >(3.10e+01, 3.20e+01]</th>\n",
       "      <td id=\"T_3f8b9_row11_col0\" class=\"data row11 col0\" >0.2500</td>\n",
       "      <td id=\"T_3f8b9_row11_col1\" class=\"data row11 col1\" >0.0333</td>\n",
       "      <td id=\"T_3f8b9_row11_col2\" class=\"data row11 col2\" >20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row12\" class=\"row_heading level0 row12\" >(3.20e+01, 3.30e+01]</th>\n",
       "      <td id=\"T_3f8b9_row12_col0\" class=\"data row12 col0\" >0.3636</td>\n",
       "      <td id=\"T_3f8b9_row12_col1\" class=\"data row12 col1\" >0.0367</td>\n",
       "      <td id=\"T_3f8b9_row12_col2\" class=\"data row12 col2\" >22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row13\" class=\"row_heading level0 row13\" >(3.30e+01, 3.40e+01]</th>\n",
       "      <td id=\"T_3f8b9_row13_col0\" class=\"data row13 col0\" >0.3636</td>\n",
       "      <td id=\"T_3f8b9_row13_col1\" class=\"data row13 col1\" >0.0367</td>\n",
       "      <td id=\"T_3f8b9_row13_col2\" class=\"data row13 col2\" >22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row14\" class=\"row_heading level0 row14\" >(3.40e+01, 3.50e+01]</th>\n",
       "      <td id=\"T_3f8b9_row14_col0\" class=\"data row14 col0\" >0.1724</td>\n",
       "      <td id=\"T_3f8b9_row14_col1\" class=\"data row14 col1\" >0.0483</td>\n",
       "      <td id=\"T_3f8b9_row14_col2\" class=\"data row14 col2\" >29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row15\" class=\"row_heading level0 row15\" >(3.50e+01, 3.60e+01]</th>\n",
       "      <td id=\"T_3f8b9_row15_col0\" class=\"data row15 col0\" >0.2083</td>\n",
       "      <td id=\"T_3f8b9_row15_col1\" class=\"data row15 col1\" >0.0400</td>\n",
       "      <td id=\"T_3f8b9_row15_col2\" class=\"data row15 col2\" >24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row16\" class=\"row_heading level0 row16\" >(3.60e+01, 3.70e+01]</th>\n",
       "      <td id=\"T_3f8b9_row16_col0\" class=\"data row16 col0\" >0.3333</td>\n",
       "      <td id=\"T_3f8b9_row16_col1\" class=\"data row16 col1\" >0.0250</td>\n",
       "      <td id=\"T_3f8b9_row16_col2\" class=\"data row16 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row17\" class=\"row_heading level0 row17\" >(3.70e+01, 3.80e+01]</th>\n",
       "      <td id=\"T_3f8b9_row17_col0\" class=\"data row17 col0\" >0.1875</td>\n",
       "      <td id=\"T_3f8b9_row17_col1\" class=\"data row17 col1\" >0.0267</td>\n",
       "      <td id=\"T_3f8b9_row17_col2\" class=\"data row17 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row18\" class=\"row_heading level0 row18\" >(3.80e+01, 3.90e+01]</th>\n",
       "      <td id=\"T_3f8b9_row18_col0\" class=\"data row18 col0\" >0.2941</td>\n",
       "      <td id=\"T_3f8b9_row18_col1\" class=\"data row18 col1\" >0.0283</td>\n",
       "      <td id=\"T_3f8b9_row18_col2\" class=\"data row18 col2\" >17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row19\" class=\"row_heading level0 row19\" >(3.90e+01, 4.10e+01]</th>\n",
       "      <td id=\"T_3f8b9_row19_col0\" class=\"data row19 col0\" >0.3182</td>\n",
       "      <td id=\"T_3f8b9_row19_col1\" class=\"data row19 col1\" >0.0367</td>\n",
       "      <td id=\"T_3f8b9_row19_col2\" class=\"data row19 col2\" >22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row20\" class=\"row_heading level0 row20\" >(4.10e+01, 4.20e+01]</th>\n",
       "      <td id=\"T_3f8b9_row20_col0\" class=\"data row20 col0\" >0.2727</td>\n",
       "      <td id=\"T_3f8b9_row20_col1\" class=\"data row20 col1\" >0.0183</td>\n",
       "      <td id=\"T_3f8b9_row20_col2\" class=\"data row20 col2\" >11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row21\" class=\"row_heading level0 row21\" >(4.20e+01, 4.40e+01]</th>\n",
       "      <td id=\"T_3f8b9_row21_col0\" class=\"data row21 col0\" >0.1905</td>\n",
       "      <td id=\"T_3f8b9_row21_col1\" class=\"data row21 col1\" >0.0350</td>\n",
       "      <td id=\"T_3f8b9_row21_col2\" class=\"data row21 col2\" >21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row22\" class=\"row_heading level0 row22\" >(4.40e+01, 4.60e+01]</th>\n",
       "      <td id=\"T_3f8b9_row22_col0\" class=\"data row22 col0\" >0.2632</td>\n",
       "      <td id=\"T_3f8b9_row22_col1\" class=\"data row22 col1\" >0.0317</td>\n",
       "      <td id=\"T_3f8b9_row22_col2\" class=\"data row22 col2\" >19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row23\" class=\"row_heading level0 row23\" >(4.60e+01, 4.70e+01]</th>\n",
       "      <td id=\"T_3f8b9_row23_col0\" class=\"data row23 col0\" >0.4000</td>\n",
       "      <td id=\"T_3f8b9_row23_col1\" class=\"data row23 col1\" >0.0167</td>\n",
       "      <td id=\"T_3f8b9_row23_col2\" class=\"data row23 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row24\" class=\"row_heading level0 row24\" >(4.70e+01, 4.90e+01]</th>\n",
       "      <td id=\"T_3f8b9_row24_col0\" class=\"data row24 col0\" >0.1429</td>\n",
       "      <td id=\"T_3f8b9_row24_col1\" class=\"data row24 col1\" >0.0233</td>\n",
       "      <td id=\"T_3f8b9_row24_col2\" class=\"data row24 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row25\" class=\"row_heading level0 row25\" >(4.90e+01, 5.10e+01]</th>\n",
       "      <td id=\"T_3f8b9_row25_col0\" class=\"data row25 col0\" >0.1429</td>\n",
       "      <td id=\"T_3f8b9_row25_col1\" class=\"data row25 col1\" >0.0233</td>\n",
       "      <td id=\"T_3f8b9_row25_col2\" class=\"data row25 col2\" >14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row26\" class=\"row_heading level0 row26\" >(5.10e+01, 5.40e+01]</th>\n",
       "      <td id=\"T_3f8b9_row26_col0\" class=\"data row26 col0\" >0.2941</td>\n",
       "      <td id=\"T_3f8b9_row26_col1\" class=\"data row26 col1\" >0.0283</td>\n",
       "      <td id=\"T_3f8b9_row26_col2\" class=\"data row26 col2\" >17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row27\" class=\"row_heading level0 row27\" >(5.40e+01, 5.70e+01]</th>\n",
       "      <td id=\"T_3f8b9_row27_col0\" class=\"data row27 col0\" >0.3333</td>\n",
       "      <td id=\"T_3f8b9_row27_col1\" class=\"data row27 col1\" >0.0200</td>\n",
       "      <td id=\"T_3f8b9_row27_col2\" class=\"data row27 col2\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row28\" class=\"row_heading level0 row28\" >(5.70e+01, 6.30e+01]</th>\n",
       "      <td id=\"T_3f8b9_row28_col0\" class=\"data row28 col0\" >0.4375</td>\n",
       "      <td id=\"T_3f8b9_row28_col1\" class=\"data row28 col1\" >0.0267</td>\n",
       "      <td id=\"T_3f8b9_row28_col2\" class=\"data row28 col2\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_3f8b9_level0_row29\" class=\"row_heading level0 row29\" >(6.30e+01, inf)</th>\n",
       "      <td id=\"T_3f8b9_row29_col0\" class=\"data row29 col0\" >0.2667</td>\n",
       "      <td id=\"T_3f8b9_row29_col1\" class=\"data row29 col1\" >0.0250</td>\n",
       "      <td id=\"T_3f8b9_row29_col2\" class=\"data row29 col2\" >15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "          <style type=\"text/css\">\n",
       "#T_e06d7_row0_col0, #T_e06d7_row2_col0, #T_e06d7_row4_col0, #T_e06d7_row5_col0, #T_e06d7_row10_col0, #T_e06d7_row13_col0, #T_e06d7_row21_col0 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row0_col1, #T_e06d7_row0_col2, #T_e06d7_row10_col1, #T_e06d7_row10_col2, #T_e06d7_row21_col1, #T_e06d7_row21_col2 {\n",
       "  background-color: #b2ccfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row1_col0, #T_e06d7_row5_col1, #T_e06d7_row5_col2, #T_e06d7_row9_col0, #T_e06d7_row25_col0 {\n",
       "  background-color: #f08a6c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row1_col1, #T_e06d7_row1_col2, #T_e06d7_row14_col1, #T_e06d7_row14_col2, #T_e06d7_row17_col1, #T_e06d7_row17_col2, #T_e06d7_row23_col1, #T_e06d7_row23_col2, #T_e06d7_row27_col1, #T_e06d7_row27_col2 {\n",
       "  background-color: #80a3fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row2_col1, #T_e06d7_row2_col2, #T_e06d7_row3_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row3_col1, #T_e06d7_row3_col2 {\n",
       "  background-color: #f7a889;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row4_col1, #T_e06d7_row4_col2, #T_e06d7_row13_col1, #T_e06d7_row13_col2 {\n",
       "  background-color: #6788ee;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row6_col0 {\n",
       "  background-color: #89acfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row6_col1, #T_e06d7_row6_col2, #T_e06d7_row19_col1, #T_e06d7_row19_col2 {\n",
       "  background-color: #e26952;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row7_col0, #T_e06d7_row15_col0 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row7_col1, #T_e06d7_row7_col2, #T_e06d7_row15_col1, #T_e06d7_row15_col2 {\n",
       "  background-color: #c9d7f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row8_col0 {\n",
       "  background-color: #f5c4ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row8_col1, #T_e06d7_row8_col2, #T_e06d7_row11_col1, #T_e06d7_row11_col2, #T_e06d7_row20_col1, #T_e06d7_row20_col2, #T_e06d7_row24_col1, #T_e06d7_row24_col2, #T_e06d7_row26_col1, #T_e06d7_row26_col2 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row9_col1, #T_e06d7_row9_col2 {\n",
       "  background-color: #f6bfa6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row11_col0, #T_e06d7_row24_col0 {\n",
       "  background-color: #a3c2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row12_col0 {\n",
       "  background-color: #f0cdbb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row12_col1, #T_e06d7_row12_col2, #T_e06d7_row16_col1, #T_e06d7_row16_col2, #T_e06d7_row22_col1, #T_e06d7_row22_col2, #T_e06d7_row28_col1, #T_e06d7_row28_col2, #T_e06d7_row29_col1, #T_e06d7_row29_col2 {\n",
       "  background-color: #dddcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row14_col0, #T_e06d7_row16_col0, #T_e06d7_row17_col0, #T_e06d7_row27_col0, #T_e06d7_row28_col0 {\n",
       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row18_col0, #T_e06d7_row18_col1, #T_e06d7_row18_col2, #T_e06d7_row23_col0, #T_e06d7_row29_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row19_col0 {\n",
       "  background-color: #b3cdfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_e06d7_row20_col0, #T_e06d7_row26_col0 {\n",
       "  background-color: #c83836;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row22_col0 {\n",
       "  background-color: #7a9df8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_e06d7_row25_col1, #T_e06d7_row25_col2 {\n",
       "  background-color: #506bda;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_e06d7\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_e06d7_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_e06d7_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_e06d7_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row0_col0\" class=\"data row0 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row0_col1\" class=\"data row0 col1\" >0.0300</td>\n",
       "      <td id=\"T_e06d7_row0_col2\" class=\"data row0 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row1_col0\" class=\"data row1 col0\" >0.5000</td>\n",
       "      <td id=\"T_e06d7_row1_col1\" class=\"data row1 col1\" >0.0200</td>\n",
       "      <td id=\"T_e06d7_row1_col2\" class=\"data row1 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row2_col0\" class=\"data row2 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row2_col1\" class=\"data row2 col1\" >0.0750</td>\n",
       "      <td id=\"T_e06d7_row2_col2\" class=\"data row2 col2\" >15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row3_col0\" class=\"data row3 col0\" >0.6364</td>\n",
       "      <td id=\"T_e06d7_row3_col1\" class=\"data row3 col1\" >0.0550</td>\n",
       "      <td id=\"T_e06d7_row3_col2\" class=\"data row3 col2\" >11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row4_col0\" class=\"data row4 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row4_col1\" class=\"data row4 col1\" >0.0150</td>\n",
       "      <td id=\"T_e06d7_row4_col2\" class=\"data row4 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row5_col0\" class=\"data row5 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row5_col1\" class=\"data row5 col1\" >0.0600</td>\n",
       "      <td id=\"T_e06d7_row5_col2\" class=\"data row5 col2\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row6_col0\" class=\"data row6 col0\" >0.1538</td>\n",
       "      <td id=\"T_e06d7_row6_col1\" class=\"data row6 col1\" >0.0650</td>\n",
       "      <td id=\"T_e06d7_row6_col2\" class=\"data row6 col2\" >13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row7_col0\" class=\"data row7 col0\" >0.1429</td>\n",
       "      <td id=\"T_e06d7_row7_col1\" class=\"data row7 col1\" >0.0350</td>\n",
       "      <td id=\"T_e06d7_row7_col2\" class=\"data row7 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row8_col0\" class=\"data row8 col0\" >0.4000</td>\n",
       "      <td id=\"T_e06d7_row8_col1\" class=\"data row8 col1\" >0.0250</td>\n",
       "      <td id=\"T_e06d7_row8_col2\" class=\"data row8 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row9_col0\" class=\"data row9 col0\" >0.5000</td>\n",
       "      <td id=\"T_e06d7_row9_col1\" class=\"data row9 col1\" >0.0500</td>\n",
       "      <td id=\"T_e06d7_row9_col2\" class=\"data row9 col2\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row10_col0\" class=\"data row10 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row10_col1\" class=\"data row10 col1\" >0.0300</td>\n",
       "      <td id=\"T_e06d7_row10_col2\" class=\"data row10 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row11_col0\" class=\"data row11 col0\" >0.2000</td>\n",
       "      <td id=\"T_e06d7_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
       "      <td id=\"T_e06d7_row11_col2\" class=\"data row11 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row12_col0\" class=\"data row12 col0\" >0.3750</td>\n",
       "      <td id=\"T_e06d7_row12_col1\" class=\"data row12 col1\" >0.0400</td>\n",
       "      <td id=\"T_e06d7_row12_col2\" class=\"data row12 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row13_col0\" class=\"data row13 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row13_col1\" class=\"data row13 col1\" >0.0150</td>\n",
       "      <td id=\"T_e06d7_row13_col2\" class=\"data row13 col2\" >3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row14_col0\" class=\"data row14 col0\" >0.2500</td>\n",
       "      <td id=\"T_e06d7_row14_col1\" class=\"data row14 col1\" >0.0200</td>\n",
       "      <td id=\"T_e06d7_row14_col2\" class=\"data row14 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row15_col0\" class=\"data row15 col0\" >0.1429</td>\n",
       "      <td id=\"T_e06d7_row15_col1\" class=\"data row15 col1\" >0.0350</td>\n",
       "      <td id=\"T_e06d7_row15_col2\" class=\"data row15 col2\" >7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row16_col0\" class=\"data row16 col0\" >0.2500</td>\n",
       "      <td id=\"T_e06d7_row16_col1\" class=\"data row16 col1\" >0.0400</td>\n",
       "      <td id=\"T_e06d7_row16_col2\" class=\"data row16 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row17_col0\" class=\"data row17 col0\" >0.2500</td>\n",
       "      <td id=\"T_e06d7_row17_col1\" class=\"data row17 col1\" >0.0200</td>\n",
       "      <td id=\"T_e06d7_row17_col2\" class=\"data row17 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row18_col0\" class=\"data row18 col0\" >0.0000</td>\n",
       "      <td id=\"T_e06d7_row18_col1\" class=\"data row18 col1\" >0.0050</td>\n",
       "      <td id=\"T_e06d7_row18_col2\" class=\"data row18 col2\" >1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row19_col0\" class=\"data row19 col0\" >0.2308</td>\n",
       "      <td id=\"T_e06d7_row19_col1\" class=\"data row19 col1\" >0.0650</td>\n",
       "      <td id=\"T_e06d7_row19_col2\" class=\"data row19 col2\" >13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row20_col0\" class=\"data row20 col0\" >0.6000</td>\n",
       "      <td id=\"T_e06d7_row20_col1\" class=\"data row20 col1\" >0.0250</td>\n",
       "      <td id=\"T_e06d7_row20_col2\" class=\"data row20 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row21_col0\" class=\"data row21 col0\" >0.3333</td>\n",
       "      <td id=\"T_e06d7_row21_col1\" class=\"data row21 col1\" >0.0300</td>\n",
       "      <td id=\"T_e06d7_row21_col2\" class=\"data row21 col2\" >6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row22_col0\" class=\"data row22 col0\" >0.1250</td>\n",
       "      <td id=\"T_e06d7_row22_col1\" class=\"data row22 col1\" >0.0400</td>\n",
       "      <td id=\"T_e06d7_row22_col2\" class=\"data row22 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row23_col0\" class=\"data row23 col0\" >0.0000</td>\n",
       "      <td id=\"T_e06d7_row23_col1\" class=\"data row23 col1\" >0.0200</td>\n",
       "      <td id=\"T_e06d7_row23_col2\" class=\"data row23 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row24_col0\" class=\"data row24 col0\" >0.2000</td>\n",
       "      <td id=\"T_e06d7_row24_col1\" class=\"data row24 col1\" >0.0250</td>\n",
       "      <td id=\"T_e06d7_row24_col2\" class=\"data row24 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row25_col0\" class=\"data row25 col0\" >0.5000</td>\n",
       "      <td id=\"T_e06d7_row25_col1\" class=\"data row25 col1\" >0.0100</td>\n",
       "      <td id=\"T_e06d7_row25_col2\" class=\"data row25 col2\" >2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row26_col0\" class=\"data row26 col0\" >0.6000</td>\n",
       "      <td id=\"T_e06d7_row26_col1\" class=\"data row26 col1\" >0.0250</td>\n",
       "      <td id=\"T_e06d7_row26_col2\" class=\"data row26 col2\" >5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row27_col0\" class=\"data row27 col0\" >0.2500</td>\n",
       "      <td id=\"T_e06d7_row27_col1\" class=\"data row27 col1\" >0.0200</td>\n",
       "      <td id=\"T_e06d7_row27_col2\" class=\"data row27 col2\" >4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row28_col0\" class=\"data row28 col0\" >0.2500</td>\n",
       "      <td id=\"T_e06d7_row28_col1\" class=\"data row28 col1\" >0.0400</td>\n",
       "      <td id=\"T_e06d7_row28_col2\" class=\"data row28 col2\" >8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_e06d7_row29_col0\" class=\"data row29 col0\" >0.0000</td>\n",
       "      <td id=\"T_e06d7_row29_col1\" class=\"data row29 col1\" >0.0400</td>\n",
       "      <td id=\"T_e06d7_row29_col2\" class=\"data row29 col2\" >8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [BinaryCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_20cc3_row0_col0, #T_20cc3_row4_col1, #T_20cc3_row4_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_20cc3_row0_col1, #T_20cc3_row0_col2 {\n",
       "  background-color: #b1cbfc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_20cc3_row1_col0 {\n",
       "  background-color: #b6cefa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_20cc3_row1_col1, #T_20cc3_row1_col2 {\n",
       "  background-color: #f29274;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_20cc3_row2_col0 {\n",
       "  background-color: #f59d7e;\n",
       "  color: #000000;\n",
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       "#T_20cc3_row2_col1, #T_20cc3_row2_col2, #T_20cc3_row3_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_20cc3_row3_col1, #T_20cc3_row3_col2 {\n",
       "  background-color: #4a63d3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_20cc3_row4_col0 {\n",
       "  background-color: #b3cdfb;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_20cc3\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_20cc3_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_20cc3_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_20cc3_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_20cc3_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 2.50e+01]</th>\n",
       "      <td id=\"T_20cc3_row0_col0\" class=\"data row0 col0\" >0.4245</td>\n",
       "      <td id=\"T_20cc3_row0_col1\" class=\"data row0 col1\" >0.1767</td>\n",
       "      <td id=\"T_20cc3_row0_col2\" class=\"data row0 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_20cc3_level0_row1\" class=\"row_heading level0 row1\" >(2.50e+01, 3.20e+01]</th>\n",
       "      <td id=\"T_20cc3_row1_col0\" class=\"data row1 col0\" >0.2753</td>\n",
       "      <td id=\"T_20cc3_row1_col1\" class=\"data row1 col1\" >0.2967</td>\n",
       "      <td id=\"T_20cc3_row1_col2\" class=\"data row1 col2\" >178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_20cc3_level0_row2\" class=\"row_heading level0 row2\" >(3.20e+01, 3.40e+01]</th>\n",
       "      <td id=\"T_20cc3_row2_col0\" class=\"data row2 col0\" >0.3636</td>\n",
       "      <td id=\"T_20cc3_row2_col1\" class=\"data row2 col1\" >0.0733</td>\n",
       "      <td id=\"T_20cc3_row2_col2\" class=\"data row2 col2\" >44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_20cc3_level0_row3\" class=\"row_heading level0 row3\" >(3.40e+01, 3.60e+01]</th>\n",
       "      <td id=\"T_20cc3_row3_col0\" class=\"data row3 col0\" >0.1887</td>\n",
       "      <td id=\"T_20cc3_row3_col1\" class=\"data row3 col1\" >0.0883</td>\n",
       "      <td id=\"T_20cc3_row3_col2\" class=\"data row3 col2\" >53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_20cc3_level0_row4\" class=\"row_heading level0 row4\" >(3.60e+01, inf)</th>\n",
       "      <td id=\"T_20cc3_row4_col0\" class=\"data row4 col0\" >0.2740</td>\n",
       "      <td id=\"T_20cc3_row4_col1\" class=\"data row4 col1\" >0.3650</td>\n",
       "      <td id=\"T_20cc3_row4_col2\" class=\"data row4 col2\" >219</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "          <style type=\"text/css\">\n",
       "#T_4139b_row0_col0, #T_4139b_row4_col1, #T_4139b_row4_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4139b_row0_col1, #T_4139b_row0_col2 {\n",
       "  background-color: #c0d4f5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4139b_row1_col0 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4139b_row1_col1, #T_4139b_row1_col2 {\n",
       "  background-color: #f7b79b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4139b_row2_col0 {\n",
       "  background-color: #f7a688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_4139b_row2_col1, #T_4139b_row2_col2, #T_4139b_row3_col0, #T_4139b_row3_col1, #T_4139b_row3_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_4139b_row4_col0 {\n",
       "  background-color: #8fb1fe;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_4139b\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_4139b_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_4139b_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_4139b_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_4139b_row0_col0\" class=\"data row0 col0\" >0.4359</td>\n",
       "      <td id=\"T_4139b_row0_col1\" class=\"data row0 col1\" >0.1950</td>\n",
       "      <td id=\"T_4139b_row0_col2\" class=\"data row0 col2\" >39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4139b_row1_col0\" class=\"data row1 col0\" >0.2931</td>\n",
       "      <td id=\"T_4139b_row1_col1\" class=\"data row1 col1\" >0.2900</td>\n",
       "      <td id=\"T_4139b_row1_col2\" class=\"data row1 col2\" >58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4139b_row2_col0\" class=\"data row2 col0\" >0.3636</td>\n",
       "      <td id=\"T_4139b_row2_col1\" class=\"data row2 col1\" >0.0550</td>\n",
       "      <td id=\"T_4139b_row2_col2\" class=\"data row2 col2\" >11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4139b_row3_col0\" class=\"data row3 col0\" >0.1818</td>\n",
       "      <td id=\"T_4139b_row3_col1\" class=\"data row3 col1\" >0.0550</td>\n",
       "      <td id=\"T_4139b_row3_col2\" class=\"data row3 col2\" >11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_4139b_row4_col0\" class=\"data row4 col0\" >0.2469</td>\n",
       "      <td id=\"T_4139b_row4_col1\" class=\"data row4 col1\" >0.4050</td>\n",
       "      <td id=\"T_4139b_row4_col2\" class=\"data row4 col2\" >81</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [BinaryCarver] Fit Numerical('existing_credits') (19/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
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       "<table id=\"T_7f903\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_7f903_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_7f903_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_7f903_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_7f903_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 1.00e+00]</th>\n",
       "      <td id=\"T_7f903_row0_col0\" class=\"data row0 col0\" >0.3061</td>\n",
       "      <td id=\"T_7f903_row0_col1\" class=\"data row0 col1\" >0.6317</td>\n",
       "      <td id=\"T_7f903_row0_col2\" class=\"data row0 col2\" >379</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_7f903_level0_row1\" class=\"row_heading level0 row1\" >(1.00e+00, 2.00e+00]</th>\n",
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       "      <td id=\"T_7f903_row1_col1\" class=\"data row1 col1\" >0.3450</td>\n",
       "      <td id=\"T_7f903_row1_col2\" class=\"data row1 col2\" >207</td>\n",
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       "      <th id=\"T_7f903_level0_row2\" class=\"row_heading level0 row2\" >(2.00e+00, inf)</th>\n",
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       "      <td id=\"T_7f903_row2_col1\" class=\"data row2 col1\" >0.0233</td>\n",
       "      <td id=\"T_7f903_row2_col2\" class=\"data row2 col2\" >14</td>\n",
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       "  </tbody>\n",
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       "#T_ad990_row0_col1, #T_ad990_row0_col2, #T_ad990_row1_col0 {\n",
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       "#T_ad990_row2_col0, #T_ad990_row2_col1, #T_ad990_row2_col2 {\n",
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_ad990\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ad990_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_ad990_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_ad990_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_ad990_row0_col0\" class=\"data row0 col0\" >0.3000</td>\n",
       "      <td id=\"T_ad990_row0_col1\" class=\"data row0 col1\" >0.6500</td>\n",
       "      <td id=\"T_ad990_row0_col2\" class=\"data row0 col2\" >130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ad990_row1_col0\" class=\"data row1 col0\" >0.3016</td>\n",
       "      <td id=\"T_ad990_row1_col1\" class=\"data row1 col1\" >0.3150</td>\n",
       "      <td id=\"T_ad990_row1_col2\" class=\"data row1 col2\" >63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ad990_row2_col0\" class=\"data row2 col0\" >0.2857</td>\n",
       "      <td id=\"T_ad990_row2_col1\" class=\"data row2 col1\" >0.0350</td>\n",
       "      <td id=\"T_ad990_row2_col2\" class=\"data row2 col2\" >7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: No robust combination for Numerical('existing_credits'). Consider increasing the size of X_dev or dropping the feature (X not representative of X_dev for this feature).\n",
      "--- [BinaryCarver] Fit Numerical('num_dependents') (20/20)\n",
      " [BinaryCarver] Raw distribution\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_39b7d\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_39b7d_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <th id=\"T_39b7d_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "      <th id=\"T_39b7d_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 1.0e+00]</th>\n",
       "      <td id=\"T_39b7d_row0_col0\" class=\"data row0 col0\" >0.2984</td>\n",
       "      <td id=\"T_39b7d_row0_col1\" class=\"data row0 col1\" >0.8433</td>\n",
       "      <td id=\"T_39b7d_row0_col2\" class=\"data row0 col2\" >506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_39b7d_level0_row1\" class=\"row_heading level0 row1\" >(1.0e+00, inf)</th>\n",
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       "      <td id=\"T_39b7d_row1_col2\" class=\"data row1 col2\" >94</td>\n",
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       "<table id=\"T_7b9d6\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_7b9d6_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_7b9d6_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_7b9d6_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "      <td id=\"T_7b9d6_row0_col0\" class=\"data row0 col0\" >0.3000</td>\n",
       "      <td id=\"T_7b9d6_row0_col1\" class=\"data row0 col1\" >0.8500</td>\n",
       "      <td id=\"T_7b9d6_row0_col2\" class=\"data row0 col2\" >170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_7b9d6_row1_col0\" class=\"data row1 col0\" >0.3000</td>\n",
       "      <td id=\"T_7b9d6_row1_col1\" class=\"data row1 col1\" >0.1500</td>\n",
       "      <td id=\"T_7b9d6_row1_col2\" class=\"data row1 col2\" >30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: No robust combination for Numerical('num_dependents'). Consider increasing the size of X_dev or dropping the feature (X not representative of X_dev for this feature).\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>library</th>\n",
       "      <th>fit_s</th>\n",
       "      <th>transform_s</th>\n",
       "      <th>train_auc</th>\n",
       "      <th>test_auc</th>\n",
       "      <th>auc_drop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AutoCarver</td>\n",
       "      <td>2.690</td>\n",
       "      <td>0.0139</td>\n",
       "      <td>0.8496</td>\n",
       "      <td>0.8044</td>\n",
       "      <td>0.0451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>optbinning</td>\n",
       "      <td>1.216</td>\n",
       "      <td>0.0145</td>\n",
       "      <td>0.8523</td>\n",
       "      <td>0.7931</td>\n",
       "      <td>0.0592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KBinsDiscretizer</td>\n",
       "      <td>0.003</td>\n",
       "      <td>0.0009</td>\n",
       "      <td>0.8401</td>\n",
       "      <td>0.7943</td>\n",
       "      <td>0.0458</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            library  fit_s  transform_s  train_auc  test_auc  auc_drop\n",
       "0        AutoCarver  2.690       0.0139     0.8496    0.8044    0.0451\n",
       "1        optbinning  1.216       0.0145     0.8523    0.7931    0.0592\n",
       "2  KBinsDiscretizer  0.003       0.0009     0.8401    0.7943    0.0458"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_full = pd.concat([y_train, y_dev])\n",
    "\n",
    "runs = [(\n",
    "    'AutoCarver',\n",
    "    lambda: bin_with_autocarver(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, 'binary'),\n",
    ")]\n",
    "if HAS_OPTBINNING:\n",
    "    runs.append((\n",
    "        'optbinning',\n",
    "        lambda: bin_with_optbinning(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, 'binary'),\n",
    "    ))\n",
    "runs.append((\n",
    "    'KBinsDiscretizer',\n",
    "    lambda: bin_with_kbins(X_train, X_dev, X_test, categoricals, quantitatives),\n",
    "))\n",
    "\n",
    "rows = []\n",
    "for name, run in runs:\n",
    "    X_tr, X_te, fit_t, transform_t, carver = run()\n",
    "    scores = fit_eval_binary(X_tr, X_te, y_train_full, y_test)\n",
    "    rows.append({\n",
    "        'library': name,\n",
    "        'fit_s': round(fit_t, 3),\n",
    "        'transform_s': round(transform_t, 4),\n",
    "        'train_auc': round(scores['train_auc'], 4),\n",
    "        'test_auc': round(scores['test_auc'], 4),\n",
    "        'auc_drop': round(scores['train_auc'] - scores['test_auc'], 4),\n",
    "    })\n",
    "\n",
    "binary_results = pd.DataFrame(rows)\n",
    "binary_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8003c457",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 1200x350 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bars(binary_results, ['fit_s', 'test_auc', 'auc_drop'], 'German Credit \\u2014 binary classification')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "regression-md",
   "metadata": {},
   "source": [
    "## Regression — California Housing\n",
    "\n",
    "6 numeric demographic features (Latitude / Longitude dropped — see comment in the next cell), 20,640 rows, target = median house value. Same 60 / 20 / 20 split."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "load-regression",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train=12384, dev=4128, test=4128\n",
      "numericals=8 (['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup', 'Latitude', 'Longitude'])\n"
     ]
    }
   ],
   "source": [
    "housing = fetch_california_housing(as_frame=True)\n",
    "X_reg = housing.frame.drop(columns=['MedHouseVal'])\n",
    "y_reg = housing.frame['MedHouseVal']\n",
    "\n",
    "X_train, X_rest, y_train, y_rest = train_test_split(X_reg, y_reg, test_size=0.4, random_state=SEED)\n",
    "X_dev, X_test, y_dev, y_test = train_test_split(X_rest, y_rest, test_size=0.5, random_state=SEED)\n",
    "\n",
    "quantitatives = list(X_reg.columns)\n",
    "categoricals = []\n",
    "\n",
    "print(f'train={len(X_train)}, dev={len(X_dev)}, test={len(X_test)}')\n",
    "print(f'numericals={len(quantitatives)} ({quantitatives})')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "adebc1c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------\n",
      "--- [QuantitativeDiscretizer] Fit Features(['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup', 'Latitude', 'Longitude'])\n",
      " - [ContinuousDiscretizer] Fit Features(['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup', 'Latitude', 'Longitude'])\n",
      " - [OrdinalDiscretizer] Fit Features(['HouseAge', 'Latitude', 'Longitude'])\n",
      "------\n",
      "\n",
      "---------\n",
      "------ [ContinuousCarver] Fit Features(['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup', 'Latitude', 'Longitude'])\n",
      "--- [ContinuousCarver] Fit Numerical('MedInc') (1/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
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       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
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       "      <td id=\"T_36ac7_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
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       "      <td id=\"T_36ac7_row5_col1\" class=\"data row5 col1\" >0.0251</td>\n",
       "      <td id=\"T_36ac7_row5_col2\" class=\"data row5 col2\" >311</td>\n",
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       "      <td id=\"T_36ac7_row6_col0\" class=\"data row6 col0\" >1.2417</td>\n",
       "      <td id=\"T_36ac7_row6_col1\" class=\"data row6 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row6_col2\" class=\"data row6 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_36ac7_row7_col1\" class=\"data row7 col1\" >0.0249</td>\n",
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       "      <td id=\"T_36ac7_row9_col2\" class=\"data row9 col2\" >309</td>\n",
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       "      <td id=\"T_36ac7_row10_col2\" class=\"data row10 col2\" >310</td>\n",
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       "      <td id=\"T_36ac7_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
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       "      <td id=\"T_36ac7_row12_col1\" class=\"data row12 col1\" >0.0250</td>\n",
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       "      <td id=\"T_36ac7_row13_col1\" class=\"data row13 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row13_col2\" class=\"data row13 col2\" >310</td>\n",
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       "      <td id=\"T_36ac7_row14_col0\" class=\"data row14 col0\" >1.6270</td>\n",
       "      <td id=\"T_36ac7_row14_col1\" class=\"data row14 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row14_col2\" class=\"data row14 col2\" >309</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row15\" class=\"row_heading level0 row15\" >(3.054e+00, 3.135e+00]</th>\n",
       "      <td id=\"T_36ac7_row15_col0\" class=\"data row15 col0\" >1.7079</td>\n",
       "      <td id=\"T_36ac7_row15_col1\" class=\"data row15 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row15_col2\" class=\"data row15 col2\" >310</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row16\" class=\"row_heading level0 row16\" >(3.135e+00, 3.216e+00]</th>\n",
       "      <td id=\"T_36ac7_row16_col0\" class=\"data row16 col0\" >1.8554</td>\n",
       "      <td id=\"T_36ac7_row16_col1\" class=\"data row16 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row16_col2\" class=\"data row16 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_36ac7_row17_col0\" class=\"data row17 col0\" >1.8373</td>\n",
       "      <td id=\"T_36ac7_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row17_col2\" class=\"data row17 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_36ac7_row18_col0\" class=\"data row18 col0\" >1.9121</td>\n",
       "      <td id=\"T_36ac7_row18_col1\" class=\"data row18 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row18_col2\" class=\"data row18 col2\" >309</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row19\" class=\"row_heading level0 row19\" >(3.423e+00, 3.531e+00]</th>\n",
       "      <td id=\"T_36ac7_row19_col0\" class=\"data row19 col0\" >1.9162</td>\n",
       "      <td id=\"T_36ac7_row19_col1\" class=\"data row19 col1\" >0.0251</td>\n",
       "      <td id=\"T_36ac7_row19_col2\" class=\"data row19 col2\" >311</td>\n",
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       "      <td id=\"T_36ac7_row20_col0\" class=\"data row20 col0\" >1.9678</td>\n",
       "      <td id=\"T_36ac7_row20_col1\" class=\"data row20 col1\" >0.0250</td>\n",
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       "      <td id=\"T_36ac7_row21_col0\" class=\"data row21 col0\" >2.0226</td>\n",
       "      <td id=\"T_36ac7_row21_col1\" class=\"data row21 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row21_col2\" class=\"data row21 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_36ac7_row22_col0\" class=\"data row22 col0\" >1.9891</td>\n",
       "      <td id=\"T_36ac7_row22_col1\" class=\"data row22 col1\" >0.0251</td>\n",
       "      <td id=\"T_36ac7_row22_col2\" class=\"data row22 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row23\" class=\"row_heading level0 row23\" >(3.839e+00, 3.971e+00]</th>\n",
       "      <td id=\"T_36ac7_row23_col0\" class=\"data row23 col0\" >2.0493</td>\n",
       "      <td id=\"T_36ac7_row23_col1\" class=\"data row23 col1\" >0.0249</td>\n",
       "      <td id=\"T_36ac7_row23_col2\" class=\"data row23 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row24\" class=\"row_heading level0 row24\" >(3.971e+00, 4.073e+00]</th>\n",
       "      <td id=\"T_36ac7_row24_col0\" class=\"data row24 col0\" >2.0538</td>\n",
       "      <td id=\"T_36ac7_row24_col1\" class=\"data row24 col1\" >0.0252</td>\n",
       "      <td id=\"T_36ac7_row24_col2\" class=\"data row24 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row25\" class=\"row_heading level0 row25\" >(4.073e+00, 4.179e+00]</th>\n",
       "      <td id=\"T_36ac7_row25_col0\" class=\"data row25 col0\" >2.2004</td>\n",
       "      <td id=\"T_36ac7_row25_col1\" class=\"data row25 col1\" >0.0249</td>\n",
       "      <td id=\"T_36ac7_row25_col2\" class=\"data row25 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row26\" class=\"row_heading level0 row26\" >(4.179e+00, 4.315e+00]</th>\n",
       "      <td id=\"T_36ac7_row26_col0\" class=\"data row26 col0\" >2.2417</td>\n",
       "      <td id=\"T_36ac7_row26_col1\" class=\"data row26 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row26_col2\" class=\"data row26 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row27\" class=\"row_heading level0 row27\" >(4.315e+00, 4.464e+00]</th>\n",
       "      <td id=\"T_36ac7_row27_col0\" class=\"data row27 col0\" >2.2394</td>\n",
       "      <td id=\"T_36ac7_row27_col1\" class=\"data row27 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row27_col2\" class=\"data row27 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row28\" class=\"row_heading level0 row28\" >(4.464e+00, 4.611e+00]</th>\n",
       "      <td id=\"T_36ac7_row28_col0\" class=\"data row28 col0\" >2.2577</td>\n",
       "      <td id=\"T_36ac7_row28_col1\" class=\"data row28 col1\" >0.0252</td>\n",
       "      <td id=\"T_36ac7_row28_col2\" class=\"data row28 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row29\" class=\"row_heading level0 row29\" >(4.611e+00, 4.757e+00]</th>\n",
       "      <td id=\"T_36ac7_row29_col0\" class=\"data row29 col0\" >2.4351</td>\n",
       "      <td id=\"T_36ac7_row29_col1\" class=\"data row29 col1\" >0.0248</td>\n",
       "      <td id=\"T_36ac7_row29_col2\" class=\"data row29 col2\" >307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row30\" class=\"row_heading level0 row30\" >(4.757e+00, 4.946e+00]</th>\n",
       "      <td id=\"T_36ac7_row30_col0\" class=\"data row30 col0\" >2.3482</td>\n",
       "      <td id=\"T_36ac7_row30_col1\" class=\"data row30 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row30_col2\" class=\"data row30 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row31\" class=\"row_heading level0 row31\" >(4.946e+00, 5.117e+00]</th>\n",
       "      <td id=\"T_36ac7_row31_col0\" class=\"data row31 col0\" >2.4592</td>\n",
       "      <td id=\"T_36ac7_row31_col1\" class=\"data row31 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row31_col2\" class=\"data row31 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row32\" class=\"row_heading level0 row32\" >(5.117e+00, 5.308e+00]</th>\n",
       "      <td id=\"T_36ac7_row32_col0\" class=\"data row32 col0\" >2.5784</td>\n",
       "      <td id=\"T_36ac7_row32_col1\" class=\"data row32 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row32_col2\" class=\"data row32 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row33\" class=\"row_heading level0 row33\" >(5.308e+00, 5.538e+00]</th>\n",
       "      <td id=\"T_36ac7_row33_col0\" class=\"data row33 col0\" >2.6892</td>\n",
       "      <td id=\"T_36ac7_row33_col1\" class=\"data row33 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row33_col2\" class=\"data row33 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row34\" class=\"row_heading level0 row34\" >(5.538e+00, 5.828e+00]</th>\n",
       "      <td id=\"T_36ac7_row34_col0\" class=\"data row34 col0\" >2.7867</td>\n",
       "      <td id=\"T_36ac7_row34_col1\" class=\"data row34 col1\" >0.0251</td>\n",
       "      <td id=\"T_36ac7_row34_col2\" class=\"data row34 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row35\" class=\"row_heading level0 row35\" >(5.828e+00, 6.148e+00]</th>\n",
       "      <td id=\"T_36ac7_row35_col0\" class=\"data row35 col0\" >3.0943</td>\n",
       "      <td id=\"T_36ac7_row35_col1\" class=\"data row35 col1\" >0.0249</td>\n",
       "      <td id=\"T_36ac7_row35_col2\" class=\"data row35 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row36\" class=\"row_heading level0 row36\" >(6.148e+00, 6.599e+00]</th>\n",
       "      <td id=\"T_36ac7_row36_col0\" class=\"data row36 col0\" >3.3031</td>\n",
       "      <td id=\"T_36ac7_row36_col1\" class=\"data row36 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row36_col2\" class=\"data row36 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row37\" class=\"row_heading level0 row37\" >(6.599e+00, 7.313e+00]</th>\n",
       "      <td id=\"T_36ac7_row37_col0\" class=\"data row37 col0\" >3.6064</td>\n",
       "      <td id=\"T_36ac7_row37_col1\" class=\"data row37 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row37_col2\" class=\"data row37 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row38\" class=\"row_heading level0 row38\" >(7.313e+00, 8.433e+00]</th>\n",
       "      <td id=\"T_36ac7_row38_col0\" class=\"data row38 col0\" >4.0191</td>\n",
       "      <td id=\"T_36ac7_row38_col1\" class=\"data row38 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row38_col2\" class=\"data row38 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_36ac7_level0_row39\" class=\"row_heading level0 row39\" >(8.433e+00, inf)</th>\n",
       "      <td id=\"T_36ac7_row39_col0\" class=\"data row39 col0\" >4.7343</td>\n",
       "      <td id=\"T_36ac7_row39_col1\" class=\"data row39 col1\" >0.0250</td>\n",
       "      <td id=\"T_36ac7_row39_col2\" class=\"data row39 col2\" >310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #4c66d6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row0_col1, #T_bde8f_row0_col2 {\n",
       "  background-color: #e2dad5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row1_col0, #T_bde8f_row28_col1, #T_bde8f_row28_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row1_col1, #T_bde8f_row1_col2 {\n",
       "  background-color: #f5c0a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row2_col0 {\n",
       "  background-color: #455cce;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row2_col1, #T_bde8f_row2_col2, #T_bde8f_row8_col1, #T_bde8f_row8_col2, #T_bde8f_row13_col1, #T_bde8f_row13_col2 {\n",
       "  background-color: #f2cbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row3_col0 {\n",
       "  background-color: #3e51c5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row3_col1, #T_bde8f_row3_col2 {\n",
       "  background-color: #ebd3c6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row4_col1, #T_bde8f_row4_col2, #T_bde8f_row25_col1, #T_bde8f_row25_col2 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row5_col0, #T_bde8f_row6_col0 {\n",
       "  background-color: #4e68d8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row5_col1, #T_bde8f_row5_col2, #T_bde8f_row12_col1, #T_bde8f_row12_col2 {\n",
       "  background-color: #d65244;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row6_col1, #T_bde8f_row6_col2, #T_bde8f_row11_col1, #T_bde8f_row11_col2 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row7_col0 {\n",
       "  background-color: #5470de;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row7_col1, #T_bde8f_row7_col2, #T_bde8f_row26_col1, #T_bde8f_row26_col2, #T_bde8f_row27_col1, #T_bde8f_row27_col2 {\n",
       "  background-color: #f59d7e;\n",
       "  color: #000000;\n",
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       "#T_bde8f_row8_col0 {\n",
       "  background-color: #5f7fe8;\n",
       "  color: #f1f1f1;\n",
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       "#T_bde8f_row9_col0 {\n",
       "  background-color: #6282ea;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row9_col1, #T_bde8f_row9_col2, #T_bde8f_row39_col0 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "#T_bde8f_row10_col0 {\n",
       "  background-color: #6485ec;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row10_col1, #T_bde8f_row10_col2, #T_bde8f_row31_col1, #T_bde8f_row31_col2 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row11_col0 {\n",
       "  background-color: #7295f4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row12_col0 {\n",
       "  background-color: #688aef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row13_col0 {\n",
       "  background-color: #6e90f2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row14_col0 {\n",
       "  background-color: #7a9df8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row14_col1, #T_bde8f_row14_col2 {\n",
       "  background-color: #c0d4f5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row15_col0 {\n",
       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row15_col1, #T_bde8f_row15_col2, #T_bde8f_row29_col1, #T_bde8f_row29_col2, #T_bde8f_row35_col1, #T_bde8f_row35_col2 {\n",
       "  background-color: #89acfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row16_col0 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row16_col1, #T_bde8f_row16_col2, #T_bde8f_row34_col1, #T_bde8f_row34_col2 {\n",
       "  background-color: #f39577;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row17_col0 {\n",
       "  background-color: #92b4fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row17_col1, #T_bde8f_row17_col2 {\n",
       "  background-color: #ea7b60;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row18_col0 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row18_col1, #T_bde8f_row18_col2 {\n",
       "  background-color: #f18d6f;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row19_col0 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row19_col1, #T_bde8f_row19_col2 {\n",
       "  background-color: #d7dce3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row20_col0 {\n",
       "  background-color: #93b5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row20_col1, #T_bde8f_row20_col2 {\n",
       "  background-color: #c32e31;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row21_col0 {\n",
       "  background-color: #8fb1fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row21_col1, #T_bde8f_row21_col2 {\n",
       "  background-color: #90b2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row22_col0 {\n",
       "  background-color: #96b7ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row22_col1, #T_bde8f_row22_col2, #T_bde8f_row23_col1, #T_bde8f_row23_col2 {\n",
       "  background-color: #f7ac8e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row23_col0 {\n",
       "  background-color: #a2c1ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row24_col0 {\n",
       "  background-color: #9ebeff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row24_col1, #T_bde8f_row24_col2 {\n",
       "  background-color: #dc5d4a;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row25_col0 {\n",
       "  background-color: #a7c5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row26_col0, #T_bde8f_row28_col0, #T_bde8f_row30_col0 {\n",
       "  background-color: #b1cbfc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row27_col0 {\n",
       "  background-color: #b6cefa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row29_col0 {\n",
       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row30_col1, #T_bde8f_row30_col2, #T_bde8f_row32_col1, #T_bde8f_row32_col2 {\n",
       "  background-color: #e7d7ce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row31_col0 {\n",
       "  background-color: #c3d5f4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row32_col0 {\n",
       "  background-color: #cdd9ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row33_col0 {\n",
       "  background-color: #d5dbe5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row33_col1, #T_bde8f_row33_col2 {\n",
       "  background-color: #465ecf;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row34_col0 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row35_col0 {\n",
       "  background-color: #edd2c3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row36_col0 {\n",
       "  background-color: #edd1c2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row36_col1, #T_bde8f_row36_col2 {\n",
       "  background-color: #f6a586;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row37_col0 {\n",
       "  background-color: #f7a688;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row37_col1, #T_bde8f_row37_col2 {\n",
       "  background-color: #b3cdfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_bde8f_row38_col0 {\n",
       "  background-color: #e67259;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row38_col1, #T_bde8f_row38_col2 {\n",
       "  background-color: #7597f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_bde8f_row39_col1, #T_bde8f_row39_col2 {\n",
       "  background-color: #f7ba9f;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_bde8f\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_bde8f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_bde8f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_bde8f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row0_col0\" class=\"data row0 col0\" >1.2507</td>\n",
       "      <td id=\"T_bde8f_row0_col1\" class=\"data row0 col1\" >0.0247</td>\n",
       "      <td id=\"T_bde8f_row0_col2\" class=\"data row0 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row1_col0\" class=\"data row1 col0\" >1.0319</td>\n",
       "      <td id=\"T_bde8f_row1_col1\" class=\"data row1 col1\" >0.0262</td>\n",
       "      <td id=\"T_bde8f_row1_col2\" class=\"data row1 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row2_col0\" class=\"data row2 col0\" >1.1587</td>\n",
       "      <td id=\"T_bde8f_row2_col1\" class=\"data row2 col1\" >0.0257</td>\n",
       "      <td id=\"T_bde8f_row2_col2\" class=\"data row2 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row3_col0\" class=\"data row3 col0\" >1.0855</td>\n",
       "      <td id=\"T_bde8f_row3_col1\" class=\"data row3 col1\" >0.0252</td>\n",
       "      <td id=\"T_bde8f_row3_col2\" class=\"data row3 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row4_col0\" class=\"data row4 col0\" >1.2523</td>\n",
       "      <td id=\"T_bde8f_row4_col1\" class=\"data row4 col1\" >0.0225</td>\n",
       "      <td id=\"T_bde8f_row4_col2\" class=\"data row4 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row5_col0\" class=\"data row5 col0\" >1.2606</td>\n",
       "      <td id=\"T_bde8f_row5_col1\" class=\"data row5 col1\" >0.0293</td>\n",
       "      <td id=\"T_bde8f_row5_col2\" class=\"data row5 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row6_col0\" class=\"data row6 col0\" >1.2643</td>\n",
       "      <td id=\"T_bde8f_row6_col1\" class=\"data row6 col1\" >0.0208</td>\n",
       "      <td id=\"T_bde8f_row6_col2\" class=\"data row6 col2\" >86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row7_col0\" class=\"data row7 col0\" >1.3335</td>\n",
       "      <td id=\"T_bde8f_row7_col1\" class=\"data row7 col1\" >0.0274</td>\n",
       "      <td id=\"T_bde8f_row7_col2\" class=\"data row7 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row8_col0\" class=\"data row8 col0\" >1.4528</td>\n",
       "      <td id=\"T_bde8f_row8_col1\" class=\"data row8 col1\" >0.0257</td>\n",
       "      <td id=\"T_bde8f_row8_col2\" class=\"data row8 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row9_col0\" class=\"data row9 col0\" >1.4887</td>\n",
       "      <td id=\"T_bde8f_row9_col1\" class=\"data row9 col1\" >0.0305</td>\n",
       "      <td id=\"T_bde8f_row9_col2\" class=\"data row9 col2\" >126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row10_col0\" class=\"data row10 col0\" >1.5142</td>\n",
       "      <td id=\"T_bde8f_row10_col1\" class=\"data row10 col1\" >0.0237</td>\n",
       "      <td id=\"T_bde8f_row10_col2\" class=\"data row10 col2\" >98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row11_col0\" class=\"data row11 col0\" >1.6485</td>\n",
       "      <td id=\"T_bde8f_row11_col1\" class=\"data row11 col1\" >0.0208</td>\n",
       "      <td id=\"T_bde8f_row11_col2\" class=\"data row11 col2\" >86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row12_col0\" class=\"data row12 col0\" >1.5544</td>\n",
       "      <td id=\"T_bde8f_row12_col1\" class=\"data row12 col1\" >0.0293</td>\n",
       "      <td id=\"T_bde8f_row12_col2\" class=\"data row12 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row13_col0\" class=\"data row13 col0\" >1.6189</td>\n",
       "      <td id=\"T_bde8f_row13_col1\" class=\"data row13 col1\" >0.0257</td>\n",
       "      <td id=\"T_bde8f_row13_col2\" class=\"data row13 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row14_col0\" class=\"data row14 col0\" >1.7433</td>\n",
       "      <td id=\"T_bde8f_row14_col1\" class=\"data row14 col1\" >0.0233</td>\n",
       "      <td id=\"T_bde8f_row14_col2\" class=\"data row14 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row15_col0\" class=\"data row15 col0\" >1.6369</td>\n",
       "      <td id=\"T_bde8f_row15_col1\" class=\"data row15 col1\" >0.0213</td>\n",
       "      <td id=\"T_bde8f_row15_col2\" class=\"data row15 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row16_col0\" class=\"data row16 col0\" >1.7802</td>\n",
       "      <td id=\"T_bde8f_row16_col1\" class=\"data row16 col1\" >0.0276</td>\n",
       "      <td id=\"T_bde8f_row16_col2\" class=\"data row16 col2\" >114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row17_col0\" class=\"data row17 col0\" >1.9721</td>\n",
       "      <td id=\"T_bde8f_row17_col1\" class=\"data row17 col1\" >0.0283</td>\n",
       "      <td id=\"T_bde8f_row17_col2\" class=\"data row17 col2\" >117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row18_col0\" class=\"data row18 col0\" >1.8287</td>\n",
       "      <td id=\"T_bde8f_row18_col1\" class=\"data row18 col1\" >0.0279</td>\n",
       "      <td id=\"T_bde8f_row18_col2\" class=\"data row18 col2\" >115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row19_col0\" class=\"data row19 col0\" >1.8295</td>\n",
       "      <td id=\"T_bde8f_row19_col1\" class=\"data row19 col1\" >0.0242</td>\n",
       "      <td id=\"T_bde8f_row19_col2\" class=\"data row19 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row20_col0\" class=\"data row20 col0\" >1.9907</td>\n",
       "      <td id=\"T_bde8f_row20_col1\" class=\"data row20 col1\" >0.0300</td>\n",
       "      <td id=\"T_bde8f_row20_col2\" class=\"data row20 col2\" >124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row21_col0\" class=\"data row21 col0\" >1.9517</td>\n",
       "      <td id=\"T_bde8f_row21_col1\" class=\"data row21 col1\" >0.0216</td>\n",
       "      <td id=\"T_bde8f_row21_col2\" class=\"data row21 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row22_col0\" class=\"data row22 col0\" >2.0220</td>\n",
       "      <td id=\"T_bde8f_row22_col1\" class=\"data row22 col1\" >0.0269</td>\n",
       "      <td id=\"T_bde8f_row22_col2\" class=\"data row22 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row23_col0\" class=\"data row23 col0\" >2.1509</td>\n",
       "      <td id=\"T_bde8f_row23_col1\" class=\"data row23 col1\" >0.0269</td>\n",
       "      <td id=\"T_bde8f_row23_col2\" class=\"data row23 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row24_col0\" class=\"data row24 col0\" >2.0977</td>\n",
       "      <td id=\"T_bde8f_row24_col1\" class=\"data row24 col1\" >0.0291</td>\n",
       "      <td id=\"T_bde8f_row24_col2\" class=\"data row24 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row25_col0\" class=\"data row25 col0\" >2.2054</td>\n",
       "      <td id=\"T_bde8f_row25_col1\" class=\"data row25 col1\" >0.0225</td>\n",
       "      <td id=\"T_bde8f_row25_col2\" class=\"data row25 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row26_col0\" class=\"data row26 col0\" >2.2979</td>\n",
       "      <td id=\"T_bde8f_row26_col1\" class=\"data row26 col1\" >0.0274</td>\n",
       "      <td id=\"T_bde8f_row26_col2\" class=\"data row26 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row27_col0\" class=\"data row27 col0\" >2.3553</td>\n",
       "      <td id=\"T_bde8f_row27_col1\" class=\"data row27 col1\" >0.0274</td>\n",
       "      <td id=\"T_bde8f_row27_col2\" class=\"data row27 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row28_col0\" class=\"data row28 col0\" >2.2924</td>\n",
       "      <td id=\"T_bde8f_row28_col1\" class=\"data row28 col1\" >0.0184</td>\n",
       "      <td id=\"T_bde8f_row28_col2\" class=\"data row28 col2\" >76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row29_col0\" class=\"data row29 col0\" >2.4401</td>\n",
       "      <td id=\"T_bde8f_row29_col1\" class=\"data row29 col1\" >0.0213</td>\n",
       "      <td id=\"T_bde8f_row29_col2\" class=\"data row29 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row30_col0\" class=\"data row30 col0\" >2.2931</td>\n",
       "      <td id=\"T_bde8f_row30_col1\" class=\"data row30 col1\" >0.0250</td>\n",
       "      <td id=\"T_bde8f_row30_col2\" class=\"data row30 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row31_col0\" class=\"data row31 col0\" >2.4940</td>\n",
       "      <td id=\"T_bde8f_row31_col1\" class=\"data row31 col1\" >0.0237</td>\n",
       "      <td id=\"T_bde8f_row31_col2\" class=\"data row31 col2\" >98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row32_col0\" class=\"data row32 col0\" >2.6133</td>\n",
       "      <td id=\"T_bde8f_row32_col1\" class=\"data row32 col1\" >0.0250</td>\n",
       "      <td id=\"T_bde8f_row32_col2\" class=\"data row32 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row33_col0\" class=\"data row33 col0\" >2.7177</td>\n",
       "      <td id=\"T_bde8f_row33_col1\" class=\"data row33 col1\" >0.0189</td>\n",
       "      <td id=\"T_bde8f_row33_col2\" class=\"data row33 col2\" >78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row34_col0\" class=\"data row34 col0\" >2.9110</td>\n",
       "      <td id=\"T_bde8f_row34_col1\" class=\"data row34 col1\" >0.0276</td>\n",
       "      <td id=\"T_bde8f_row34_col2\" class=\"data row34 col2\" >114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row35_col0\" class=\"data row35 col0\" >3.0729</td>\n",
       "      <td id=\"T_bde8f_row35_col1\" class=\"data row35 col1\" >0.0213</td>\n",
       "      <td id=\"T_bde8f_row35_col2\" class=\"data row35 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row36_col0\" class=\"data row36 col0\" >3.0759</td>\n",
       "      <td id=\"T_bde8f_row36_col1\" class=\"data row36 col1\" >0.0271</td>\n",
       "      <td id=\"T_bde8f_row36_col2\" class=\"data row36 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row37_col0\" class=\"data row37 col0\" >3.5985</td>\n",
       "      <td id=\"T_bde8f_row37_col1\" class=\"data row37 col1\" >0.0228</td>\n",
       "      <td id=\"T_bde8f_row37_col2\" class=\"data row37 col2\" >94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row38_col0\" class=\"data row38 col0\" >4.0385</td>\n",
       "      <td id=\"T_bde8f_row38_col1\" class=\"data row38 col1\" >0.0206</td>\n",
       "      <td id=\"T_bde8f_row38_col2\" class=\"data row38 col2\" >85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_bde8f_row39_col0\" class=\"data row39 col0\" >4.6131</td>\n",
       "      <td id=\"T_bde8f_row39_col1\" class=\"data row39 col1\" >0.0264</td>\n",
       "      <td id=\"T_bde8f_row39_col2\" class=\"data row39 col2\" >109</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "<table id=\"T_76867\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_76867_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "<table id=\"T_d8c37\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_d8c37_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  <tbody>\n",
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       "      <td id=\"T_d8c37_row1_col0\" class=\"data row1 col0\" >1.5934</td>\n",
       "      <td id=\"T_d8c37_row1_col1\" class=\"data row1 col1\" >0.1747</td>\n",
       "      <td id=\"T_d8c37_row1_col2\" class=\"data row1 col2\" >721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d8c37_row2_col0\" class=\"data row2 col0\" >1.9604</td>\n",
       "      <td id=\"T_d8c37_row2_col1\" class=\"data row2 col1\" >0.2425</td>\n",
       "      <td id=\"T_d8c37_row2_col2\" class=\"data row2 col2\" >1001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d8c37_row3_col0\" class=\"data row3 col0\" >2.4652</td>\n",
       "      <td id=\"T_d8c37_row3_col1\" class=\"data row3 col1\" >0.2372</td>\n",
       "      <td id=\"T_d8c37_row3_col2\" class=\"data row3 col2\" >979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d8c37_row4_col0\" class=\"data row4 col0\" >3.6870</td>\n",
       "      <td id=\"T_d8c37_row4_col1\" class=\"data row4 col1\" >0.1182</td>\n",
       "      <td id=\"T_d8c37_row4_col2\" class=\"data row4 col2\" >488</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('HouseAge') (2/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
    {
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       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
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       "  <tbody>\n",
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       "      <th id=\"T_1d2d5_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 5.00e+00]</th>\n",
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       "      <td id=\"T_1d2d5_row0_col1\" class=\"data row0 col1\" >0.0271</td>\n",
       "      <td id=\"T_1d2d5_row0_col2\" class=\"data row0 col2\" >336</td>\n",
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       "      <th id=\"T_1d2d5_level0_row1\" class=\"row_heading level0 row1\" >(5.00e+00, 8.00e+00]</th>\n",
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       "      <td id=\"T_1d2d5_row1_col1\" class=\"data row1 col1\" >0.0263</td>\n",
       "      <td id=\"T_1d2d5_row1_col2\" class=\"data row1 col2\" >326</td>\n",
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       "      <th id=\"T_1d2d5_level0_row2\" class=\"row_heading level0 row2\" >(8.00e+00, 1.10e+01]</th>\n",
       "      <td id=\"T_1d2d5_row2_col0\" class=\"data row2 col0\" >1.8133</td>\n",
       "      <td id=\"T_1d2d5_row2_col1\" class=\"data row2 col1\" >0.0352</td>\n",
       "      <td id=\"T_1d2d5_row2_col2\" class=\"data row2 col2\" >436</td>\n",
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       "      <td id=\"T_1d2d5_row3_col1\" class=\"data row3 col1\" >0.0468</td>\n",
       "      <td id=\"T_1d2d5_row3_col2\" class=\"data row3 col2\" >579</td>\n",
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       "      <th id=\"T_1d2d5_level0_row4\" class=\"row_heading level0 row4\" >(1.40e+01, 1.60e+01]</th>\n",
       "      <td id=\"T_1d2d5_row4_col0\" class=\"data row4 col0\" >1.9355</td>\n",
       "      <td id=\"T_1d2d5_row4_col1\" class=\"data row4 col1\" >0.0652</td>\n",
       "      <td id=\"T_1d2d5_row4_col2\" class=\"data row4 col2\" >807</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_1d2d5_row5_col0\" class=\"data row5 col0\" >1.8929</td>\n",
       "      <td id=\"T_1d2d5_row5_col1\" class=\"data row5 col1\" >0.0319</td>\n",
       "      <td id=\"T_1d2d5_row5_col2\" class=\"data row5 col2\" >395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row6\" class=\"row_heading level0 row6\" >(1.70e+01, 1.80e+01]</th>\n",
       "      <td id=\"T_1d2d5_row6_col0\" class=\"data row6 col0\" >1.9455</td>\n",
       "      <td id=\"T_1d2d5_row6_col1\" class=\"data row6 col1\" >0.0276</td>\n",
       "      <td id=\"T_1d2d5_row6_col2\" class=\"data row6 col2\" >342</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_1d2d5_row7_col0\" class=\"data row7 col0\" >1.9470</td>\n",
       "      <td id=\"T_1d2d5_row7_col1\" class=\"data row7 col1\" >0.0470</td>\n",
       "      <td id=\"T_1d2d5_row7_col2\" class=\"data row7 col2\" >582</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_1d2d5_row8_col1\" class=\"data row8 col1\" >0.0632</td>\n",
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       "      <td id=\"T_1d2d5_row9_col1\" class=\"data row9 col1\" >0.0480</td>\n",
       "      <td id=\"T_1d2d5_row9_col2\" class=\"data row9 col2\" >595</td>\n",
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       "      <td id=\"T_1d2d5_row10_col0\" class=\"data row10 col0\" >2.0937</td>\n",
       "      <td id=\"T_1d2d5_row10_col1\" class=\"data row10 col1\" >0.0304</td>\n",
       "      <td id=\"T_1d2d5_row10_col2\" class=\"data row10 col2\" >377</td>\n",
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       "      <td id=\"T_1d2d5_row11_col0\" class=\"data row11 col0\" >2.0568</td>\n",
       "      <td id=\"T_1d2d5_row11_col1\" class=\"data row11 col1\" >0.0245</td>\n",
       "      <td id=\"T_1d2d5_row11_col2\" class=\"data row11 col2\" >303</td>\n",
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       "      <th id=\"T_1d2d5_level0_row12\" class=\"row_heading level0 row12\" >(2.70e+01, 2.80e+01]</th>\n",
       "      <td id=\"T_1d2d5_row12_col0\" class=\"data row12 col0\" >1.9827</td>\n",
       "      <td id=\"T_1d2d5_row12_col1\" class=\"data row12 col1\" >0.0241</td>\n",
       "      <td id=\"T_1d2d5_row12_col2\" class=\"data row12 col2\" >299</td>\n",
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       "      <th id=\"T_1d2d5_level0_row13\" class=\"row_heading level0 row13\" >(2.80e+01, 2.90e+01]</th>\n",
       "      <td id=\"T_1d2d5_row13_col0\" class=\"data row13 col0\" >2.0203</td>\n",
       "      <td id=\"T_1d2d5_row13_col1\" class=\"data row13 col1\" >0.0232</td>\n",
       "      <td id=\"T_1d2d5_row13_col2\" class=\"data row13 col2\" >287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row14\" class=\"row_heading level0 row14\" >(2.90e+01, 3.00e+01]</th>\n",
       "      <td id=\"T_1d2d5_row14_col0\" class=\"data row14 col0\" >2.0515</td>\n",
       "      <td id=\"T_1d2d5_row14_col1\" class=\"data row14 col1\" >0.0236</td>\n",
       "      <td id=\"T_1d2d5_row14_col2\" class=\"data row14 col2\" >292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row15\" class=\"row_heading level0 row15\" >(3.00e+01, 3.20e+01]</th>\n",
       "      <td id=\"T_1d2d5_row15_col0\" class=\"data row15 col0\" >2.0453</td>\n",
       "      <td id=\"T_1d2d5_row15_col1\" class=\"data row15 col1\" >0.0484</td>\n",
       "      <td id=\"T_1d2d5_row15_col2\" class=\"data row15 col2\" >599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row16\" class=\"row_heading level0 row16\" >(3.20e+01, 3.30e+01]</th>\n",
       "      <td id=\"T_1d2d5_row16_col0\" class=\"data row16 col0\" >2.0343</td>\n",
       "      <td id=\"T_1d2d5_row16_col1\" class=\"data row16 col1\" >0.0316</td>\n",
       "      <td id=\"T_1d2d5_row16_col2\" class=\"data row16 col2\" >391</td>\n",
       "    </tr>\n",
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       "      <th id=\"T_1d2d5_level0_row17\" class=\"row_heading level0 row17\" >(3.30e+01, 3.40e+01]</th>\n",
       "      <td id=\"T_1d2d5_row17_col0\" class=\"data row17 col0\" >2.1357</td>\n",
       "      <td id=\"T_1d2d5_row17_col1\" class=\"data row17 col1\" >0.0320</td>\n",
       "      <td id=\"T_1d2d5_row17_col2\" class=\"data row17 col2\" >396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row18\" class=\"row_heading level0 row18\" >(3.40e+01, 3.50e+01]</th>\n",
       "      <td id=\"T_1d2d5_row18_col0\" class=\"data row18 col0\" >2.0004</td>\n",
       "      <td id=\"T_1d2d5_row18_col1\" class=\"data row18 col1\" >0.0399</td>\n",
       "      <td id=\"T_1d2d5_row18_col2\" class=\"data row18 col2\" >494</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row19\" class=\"row_heading level0 row19\" >(3.50e+01, 3.60e+01]</th>\n",
       "      <td id=\"T_1d2d5_row19_col0\" class=\"data row19 col0\" >2.1148</td>\n",
       "      <td id=\"T_1d2d5_row19_col1\" class=\"data row19 col1\" >0.0437</td>\n",
       "      <td id=\"T_1d2d5_row19_col2\" class=\"data row19 col2\" >541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row20\" class=\"row_heading level0 row20\" >(3.60e+01, 3.70e+01]</th>\n",
       "      <td id=\"T_1d2d5_row20_col0\" class=\"data row20 col0\" >2.0004</td>\n",
       "      <td id=\"T_1d2d5_row20_col1\" class=\"data row20 col1\" >0.0257</td>\n",
       "      <td id=\"T_1d2d5_row20_col2\" class=\"data row20 col2\" >318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row21\" class=\"row_heading level0 row21\" >(3.70e+01, 3.90e+01]</th>\n",
       "      <td id=\"T_1d2d5_row21_col0\" class=\"data row21 col0\" >2.0133</td>\n",
       "      <td id=\"T_1d2d5_row21_col1\" class=\"data row21 col1\" >0.0355</td>\n",
       "      <td id=\"T_1d2d5_row21_col2\" class=\"data row21 col2\" >440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row22\" class=\"row_heading level0 row22\" >(3.90e+01, 4.20e+01]</th>\n",
       "      <td id=\"T_1d2d5_row22_col0\" class=\"data row22 col0\" >2.0148</td>\n",
       "      <td id=\"T_1d2d5_row22_col1\" class=\"data row22 col1\" >0.0440</td>\n",
       "      <td id=\"T_1d2d5_row22_col2\" class=\"data row22 col2\" >545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row23\" class=\"row_heading level0 row23\" >(4.20e+01, 4.40e+01]</th>\n",
       "      <td id=\"T_1d2d5_row23_col0\" class=\"data row23 col0\" >2.0742</td>\n",
       "      <td id=\"T_1d2d5_row23_col1\" class=\"data row23 col1\" >0.0351</td>\n",
       "      <td id=\"T_1d2d5_row23_col2\" class=\"data row23 col2\" >435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row24\" class=\"row_heading level0 row24\" >(4.40e+01, 4.70e+01]</th>\n",
       "      <td id=\"T_1d2d5_row24_col0\" class=\"data row24 col0\" >2.0852</td>\n",
       "      <td id=\"T_1d2d5_row24_col1\" class=\"data row24 col1\" >0.0343</td>\n",
       "      <td id=\"T_1d2d5_row24_col2\" class=\"data row24 col2\" >425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_1d2d5_level0_row25\" class=\"row_heading level0 row25\" >(4.70e+01, inf)</th>\n",
       "      <td id=\"T_1d2d5_row25_col0\" class=\"data row25 col0\" >2.5848</td>\n",
       "      <td id=\"T_1d2d5_row25_col1\" class=\"data row25 col1\" >0.0857</td>\n",
       "      <td id=\"T_1d2d5_row25_col2\" class=\"data row25 col2\" >1061</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #9bbcff;\n",
       "  color: #000000;\n",
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       "  background-color: #6788ee;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #ecd3c5;\n",
       "  color: #000000;\n",
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       "#T_ba7f2_row5_col1, #T_ba7f2_row5_col2 {\n",
       "  background-color: #88abfd;\n",
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       "  background-color: #6687ed;\n",
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       "  background-color: #5b7ae5;\n",
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       "  background-color: #a6c4fe;\n",
       "  color: #000000;\n",
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       "#T_ba7f2_row8_col0, #T_ba7f2_row15_col1, #T_ba7f2_row15_col2 {\n",
       "  background-color: #c6d6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row8_col1, #T_ba7f2_row8_col2, #T_ba7f2_row20_col0 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
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       "#T_ba7f2_row9_col0, #T_ba7f2_row17_col0, #T_ba7f2_row24_col0 {\n",
       "  background-color: #bbd1f8;\n",
       "  color: #000000;\n",
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       "#T_ba7f2_row9_col1, #T_ba7f2_row9_col2 {\n",
       "  background-color: #e4d9d2;\n",
       "  color: #000000;\n",
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       "#T_ba7f2_row10_col0 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row10_col1, #T_ba7f2_row10_col2, #T_ba7f2_row20_col1, #T_ba7f2_row20_col2 {\n",
       "  background-color: #6180e9;\n",
       "  color: #f1f1f1;\n",
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       "#T_ba7f2_row11_col0 {\n",
       "  background-color: #dcdddd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row11_col1, #T_ba7f2_row11_col2 {\n",
       "  background-color: #3d50c3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row12_col0 {\n",
       "  background-color: #ead5c9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row12_col1, #T_ba7f2_row12_col2, #T_ba7f2_row14_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row13_col0 {\n",
       "  background-color: #4055c8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row13_col1, #T_ba7f2_row13_col2 {\n",
       "  background-color: #3c4ec2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row14_col1, #T_ba7f2_row14_col2 {\n",
       "  background-color: #445acc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row15_col0 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row16_col0, #T_ba7f2_row21_col1, #T_ba7f2_row21_col2 {\n",
       "  background-color: #7da0f9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row16_col1, #T_ba7f2_row16_col2 {\n",
       "  background-color: #506bda;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row17_col1, #T_ba7f2_row17_col2 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row18_col0 {\n",
       "  background-color: #e1dad6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row18_col1, #T_ba7f2_row18_col2 {\n",
       "  background-color: #9dbdff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row19_col0 {\n",
       "  background-color: #9fbfff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row19_col1, #T_ba7f2_row19_col2 {\n",
       "  background-color: #a5c3fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row21_col0 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row22_col0 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row22_col1, #T_ba7f2_row22_col2 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row23_col0 {\n",
       "  background-color: #9ebeff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row23_col1, #T_ba7f2_row23_col2 {\n",
       "  background-color: #688aef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_ba7f2_row24_col1, #T_ba7f2_row24_col2 {\n",
       "  background-color: #8badfd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_ba7f2_row25_col0, #T_ba7f2_row25_col1, #T_ba7f2_row25_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_ba7f2\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ba7f2_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_ba7f2_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_ba7f2_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row0_col0\" class=\"data row0 col0\" >2.0720</td>\n",
       "      <td id=\"T_ba7f2_row0_col1\" class=\"data row0 col1\" >0.0245</td>\n",
       "      <td id=\"T_ba7f2_row0_col2\" class=\"data row0 col2\" >101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row1_col0\" class=\"data row1 col0\" >1.9201</td>\n",
       "      <td id=\"T_ba7f2_row1_col1\" class=\"data row1 col1\" >0.0269</td>\n",
       "      <td id=\"T_ba7f2_row1_col2\" class=\"data row1 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row2_col0\" class=\"data row2 col0\" >1.9054</td>\n",
       "      <td id=\"T_ba7f2_row2_col1\" class=\"data row2 col1\" >0.0344</td>\n",
       "      <td id=\"T_ba7f2_row2_col2\" class=\"data row2 col2\" >142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row3_col0\" class=\"data row3 col0\" >1.8581</td>\n",
       "      <td id=\"T_ba7f2_row3_col1\" class=\"data row3 col1\" >0.0412</td>\n",
       "      <td id=\"T_ba7f2_row3_col2\" class=\"data row3 col2\" >170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row4_col0\" class=\"data row4 col0\" >1.8826</td>\n",
       "      <td id=\"T_ba7f2_row4_col1\" class=\"data row4 col1\" >0.0606</td>\n",
       "      <td id=\"T_ba7f2_row4_col2\" class=\"data row4 col2\" >250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row5_col0\" class=\"data row5 col0\" >1.8592</td>\n",
       "      <td id=\"T_ba7f2_row5_col1\" class=\"data row5 col1\" >0.0375</td>\n",
       "      <td id=\"T_ba7f2_row5_col2\" class=\"data row5 col2\" >155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row6_col0\" class=\"data row6 col0\" >1.8799</td>\n",
       "      <td id=\"T_ba7f2_row6_col1\" class=\"data row6 col1\" >0.0283</td>\n",
       "      <td id=\"T_ba7f2_row6_col2\" class=\"data row6 col2\" >117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row7_col0\" class=\"data row7 col0\" >1.8746</td>\n",
       "      <td id=\"T_ba7f2_row7_col1\" class=\"data row7 col1\" >0.0436</td>\n",
       "      <td id=\"T_ba7f2_row7_col2\" class=\"data row7 col2\" >180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row8_col0\" class=\"data row8 col0\" >2.1128</td>\n",
       "      <td id=\"T_ba7f2_row8_col1\" class=\"data row8 col1\" >0.0577</td>\n",
       "      <td id=\"T_ba7f2_row8_col2\" class=\"data row8 col2\" >238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row9_col0\" class=\"data row9 col0\" >2.0847</td>\n",
       "      <td id=\"T_ba7f2_row9_col1\" class=\"data row9 col1\" >0.0579</td>\n",
       "      <td id=\"T_ba7f2_row9_col2\" class=\"data row9 col2\" >239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row10_col0\" class=\"data row10 col0\" >2.0778</td>\n",
       "      <td id=\"T_ba7f2_row10_col1\" class=\"data row10 col1\" >0.0296</td>\n",
       "      <td id=\"T_ba7f2_row10_col2\" class=\"data row10 col2\" >122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row11_col0\" class=\"data row11 col0\" >2.1784</td>\n",
       "      <td id=\"T_ba7f2_row11_col1\" class=\"data row11 col1\" >0.0216</td>\n",
       "      <td id=\"T_ba7f2_row11_col2\" class=\"data row11 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row12_col0\" class=\"data row12 col0\" >2.2242</td>\n",
       "      <td id=\"T_ba7f2_row12_col1\" class=\"data row12 col1\" >0.0208</td>\n",
       "      <td id=\"T_ba7f2_row12_col2\" class=\"data row12 col2\" >86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row13_col0\" class=\"data row13 col0\" >1.7802</td>\n",
       "      <td id=\"T_ba7f2_row13_col1\" class=\"data row13 col1\" >0.0213</td>\n",
       "      <td id=\"T_ba7f2_row13_col2\" class=\"data row13 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row14_col0\" class=\"data row14 col0\" >1.7629</td>\n",
       "      <td id=\"T_ba7f2_row14_col1\" class=\"data row14 col1\" >0.0233</td>\n",
       "      <td id=\"T_ba7f2_row14_col2\" class=\"data row14 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row15_col0\" class=\"data row15 col0\" >2.0493</td>\n",
       "      <td id=\"T_ba7f2_row15_col1\" class=\"data row15 col1\" >0.0504</td>\n",
       "      <td id=\"T_ba7f2_row15_col2\" class=\"data row15 col2\" >208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row16_col0\" class=\"data row16 col0\" >1.9343</td>\n",
       "      <td id=\"T_ba7f2_row16_col1\" class=\"data row16 col1\" >0.0259</td>\n",
       "      <td id=\"T_ba7f2_row16_col2\" class=\"data row16 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row17_col0\" class=\"data row17 col0\" >2.0837</td>\n",
       "      <td id=\"T_ba7f2_row17_col1\" class=\"data row17 col1\" >0.0349</td>\n",
       "      <td id=\"T_ba7f2_row17_col2\" class=\"data row17 col2\" >144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row18_col0\" class=\"data row18 col0\" >2.1957</td>\n",
       "      <td id=\"T_ba7f2_row18_col1\" class=\"data row18 col1\" >0.0417</td>\n",
       "      <td id=\"T_ba7f2_row18_col2\" class=\"data row18 col2\" >172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row19_col0\" class=\"data row19 col0\" >2.0157</td>\n",
       "      <td id=\"T_ba7f2_row19_col1\" class=\"data row19 col1\" >0.0431</td>\n",
       "      <td id=\"T_ba7f2_row19_col2\" class=\"data row19 col2\" >178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row20_col0\" class=\"data row20 col0\" >2.2006</td>\n",
       "      <td id=\"T_ba7f2_row20_col1\" class=\"data row20 col1\" >0.0296</td>\n",
       "      <td id=\"T_ba7f2_row20_col2\" class=\"data row20 col2\" >122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row21_col0\" class=\"data row21 col0\" >2.0026</td>\n",
       "      <td id=\"T_ba7f2_row21_col1\" class=\"data row21 col1\" >0.0351</td>\n",
       "      <td id=\"T_ba7f2_row21_col2\" class=\"data row21 col2\" >145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row22_col0\" class=\"data row22 col0\" >1.9358</td>\n",
       "      <td id=\"T_ba7f2_row22_col1\" class=\"data row22 col1\" >0.0499</td>\n",
       "      <td id=\"T_ba7f2_row22_col2\" class=\"data row22 col2\" >206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row23_col0\" class=\"data row23 col0\" >2.0117</td>\n",
       "      <td id=\"T_ba7f2_row23_col1\" class=\"data row23 col1\" >0.0312</td>\n",
       "      <td id=\"T_ba7f2_row23_col2\" class=\"data row23 col2\" >129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row24_col0\" class=\"data row24 col0\" >2.0839</td>\n",
       "      <td id=\"T_ba7f2_row24_col1\" class=\"data row24 col1\" >0.0380</td>\n",
       "      <td id=\"T_ba7f2_row24_col2\" class=\"data row24 col2\" >157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba7f2_row25_col0\" class=\"data row25 col0\" >2.5968</td>\n",
       "      <td id=\"T_ba7f2_row25_col1\" class=\"data row25 col1\" >0.0911</td>\n",
       "      <td id=\"T_ba7f2_row25_col2\" class=\"data row25 col2\" >376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "  <caption>X distribution</caption>\n",
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_1fdd0_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th id=\"T_1fdd0_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 2.30e+01]</th>\n",
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       "      <td id=\"T_1fdd0_row0_col1\" class=\"data row0 col1\" >0.3703</td>\n",
       "      <td id=\"T_1fdd0_row0_col2\" class=\"data row0 col2\" >4586</td>\n",
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       "      <th id=\"T_1fdd0_level0_row1\" class=\"row_heading level0 row1\" >(2.30e+01, 2.60e+01]</th>\n",
       "      <td id=\"T_1fdd0_row1_col0\" class=\"data row1 col0\" >2.1412</td>\n",
       "      <td id=\"T_1fdd0_row1_col1\" class=\"data row1 col1\" >0.0785</td>\n",
       "      <td id=\"T_1fdd0_row1_col2\" class=\"data row1 col2\" >972</td>\n",
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       "      <td id=\"T_1fdd0_row2_col2\" class=\"data row2 col2\" >3602</td>\n",
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       "      <td id=\"T_1fdd0_row3_col1\" class=\"data row3 col1\" >0.1747</td>\n",
       "      <td id=\"T_1fdd0_row3_col2\" class=\"data row3 col2\" >2163</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_1fdd0_row4_col0\" class=\"data row4 col0\" >2.5848</td>\n",
       "      <td id=\"T_1fdd0_row4_col1\" class=\"data row4 col1\" >0.0857</td>\n",
       "      <td id=\"T_1fdd0_row4_col2\" class=\"data row4 col2\" >1061</td>\n",
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       "  background-color: #6b8df0;\n",
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       "#T_577a1_row3_col1, #T_577a1_row3_col2 {\n",
       "  background-color: #b3cdfb;\n",
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       "#T_577a1_row4_col1, #T_577a1_row4_col2 {\n",
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       "<table id=\"T_577a1\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_577a1_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_577a1_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_577a1_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_577a1_row0_col0\" class=\"data row0 col0\" >1.9316</td>\n",
       "      <td id=\"T_577a1_row0_col1\" class=\"data row0 col1\" >0.3547</td>\n",
       "      <td id=\"T_577a1_row0_col2\" class=\"data row0 col2\" >1464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_577a1_row1_col0\" class=\"data row1 col0\" >2.0824</td>\n",
       "      <td id=\"T_577a1_row1_col1\" class=\"data row1 col1\" >0.0875</td>\n",
       "      <td id=\"T_577a1_row1_col2\" class=\"data row1 col2\" >361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_577a1_row2_col0\" class=\"data row2 col0\" >2.0383</td>\n",
       "      <td id=\"T_577a1_row2_col1\" class=\"data row2 col1\" >0.2829</td>\n",
       "      <td id=\"T_577a1_row2_col2\" class=\"data row2 col2\" >1168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_577a1_row3_col0\" class=\"data row3 col0\" >2.0347</td>\n",
       "      <td id=\"T_577a1_row3_col1\" class=\"data row3 col1\" >0.1839</td>\n",
       "      <td id=\"T_577a1_row3_col2\" class=\"data row3 col2\" >759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_577a1_row4_col0\" class=\"data row4 col0\" >2.5968</td>\n",
       "      <td id=\"T_577a1_row4_col1\" class=\"data row4 col1\" >0.0911</td>\n",
       "      <td id=\"T_577a1_row4_col2\" class=\"data row4 col2\" >376</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('AveRooms') (3/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_29b09_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_29b09_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
       "      <td id=\"T_29b09_row0_col2\" class=\"data row0 col2\" >310</td>\n",
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       "      <th id=\"T_29b09_level0_row1\" class=\"row_heading level0 row1\" >(3.066e+00, 3.432e+00]</th>\n",
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       "      <th id=\"T_29b09_level0_row6\" class=\"row_heading level0 row6\" >(4.052e+00, 4.168e+00]</th>\n",
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       "      <td id=\"T_29b09_row6_col1\" class=\"data row6 col1\" >0.0250</td>\n",
       "      <td id=\"T_29b09_row6_col2\" class=\"data row6 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_29b09_row7_col1\" class=\"data row7 col1\" >0.0250</td>\n",
       "      <td id=\"T_29b09_row7_col2\" class=\"data row7 col2\" >309</td>\n",
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       "#T_fab5d_row17_col1, #T_fab5d_row17_col2, #T_fab5d_row18_col1, #T_fab5d_row18_col2, #T_fab5d_row21_col1, #T_fab5d_row21_col2 {\n",
       "  background-color: #e8d6cc;\n",
       "  color: #000000;\n",
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       "#T_fab5d_row18_col0 {\n",
       "  background-color: #4e68d8;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #516ddb;\n",
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       "  background-color: #92b4fe;\n",
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       "#T_fab5d_row20_col1, #T_fab5d_row20_col2, #T_fab5d_row36_col1, #T_fab5d_row36_col2 {\n",
       "  background-color: #f39475;\n",
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       "  background-color: #e0dbd8;\n",
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       "  background-color: #4c66d6;\n",
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       "  background-color: #779af7;\n",
       "  color: #f1f1f1;\n",
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       "#T_fab5d_row28_col1, #T_fab5d_row28_col2 {\n",
       "  background-color: #f7b093;\n",
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       "  background-color: #a6c4fe;\n",
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       "#T_fab5d_row31_col1, #T_fab5d_row31_col2 {\n",
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       "  background-color: #bcd2f7;\n",
       "  color: #000000;\n",
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       "#T_fab5d_row32_col1, #T_fab5d_row32_col2 {\n",
       "  background-color: #82a6fb;\n",
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       "  background-color: #dedcdb;\n",
       "  color: #000000;\n",
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       "#T_fab5d_row34_col0 {\n",
       "  background-color: #efcebd;\n",
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       "#T_fab5d_row34_col1, #T_fab5d_row34_col2 {\n",
       "  background-color: #688aef;\n",
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       "#T_fab5d_row35_col0 {\n",
       "  background-color: #f4c6af;\n",
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       "#T_fab5d_row36_col0 {\n",
       "  background-color: #f29274;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_fab5d_row37_col0 {\n",
       "  background-color: #e36c55;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_fab5d_row39_col0 {\n",
       "  background-color: #f5c4ac;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_fab5d_row39_col1, #T_fab5d_row39_col2 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_fab5d\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_fab5d_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_fab5d_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_fab5d_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row0_col0\" class=\"data row0 col0\" >2.0908</td>\n",
       "      <td id=\"T_fab5d_row0_col1\" class=\"data row0 col1\" >0.0233</td>\n",
       "      <td id=\"T_fab5d_row0_col2\" class=\"data row0 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row1_col0\" class=\"data row1 col0\" >1.8579</td>\n",
       "      <td id=\"T_fab5d_row1_col1\" class=\"data row1 col1\" >0.0264</td>\n",
       "      <td id=\"T_fab5d_row1_col2\" class=\"data row1 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row2_col0\" class=\"data row2 col0\" >2.0031</td>\n",
       "      <td id=\"T_fab5d_row2_col1\" class=\"data row2 col1\" >0.0242</td>\n",
       "      <td id=\"T_fab5d_row2_col2\" class=\"data row2 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row3_col0\" class=\"data row3 col0\" >1.8060</td>\n",
       "      <td id=\"T_fab5d_row3_col1\" class=\"data row3 col1\" >0.0274</td>\n",
       "      <td id=\"T_fab5d_row3_col2\" class=\"data row3 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row4_col0\" class=\"data row4 col0\" >1.8137</td>\n",
       "      <td id=\"T_fab5d_row4_col1\" class=\"data row4 col1\" >0.0240</td>\n",
       "      <td id=\"T_fab5d_row4_col2\" class=\"data row4 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row5_col0\" class=\"data row5 col0\" >1.7725</td>\n",
       "      <td id=\"T_fab5d_row5_col1\" class=\"data row5 col1\" >0.0211</td>\n",
       "      <td id=\"T_fab5d_row5_col2\" class=\"data row5 col2\" >87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row6_col0\" class=\"data row6 col0\" >1.7723</td>\n",
       "      <td id=\"T_fab5d_row6_col1\" class=\"data row6 col1\" >0.0283</td>\n",
       "      <td id=\"T_fab5d_row6_col2\" class=\"data row6 col2\" >117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row7_col0\" class=\"data row7 col0\" >1.7839</td>\n",
       "      <td id=\"T_fab5d_row7_col1\" class=\"data row7 col1\" >0.0247</td>\n",
       "      <td id=\"T_fab5d_row7_col2\" class=\"data row7 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row8_col0\" class=\"data row8 col0\" >1.7902</td>\n",
       "      <td id=\"T_fab5d_row8_col1\" class=\"data row8 col1\" >0.0286</td>\n",
       "      <td id=\"T_fab5d_row8_col2\" class=\"data row8 col2\" >118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row9_col0\" class=\"data row9 col0\" >1.8121</td>\n",
       "      <td id=\"T_fab5d_row9_col1\" class=\"data row9 col1\" >0.0264</td>\n",
       "      <td id=\"T_fab5d_row9_col2\" class=\"data row9 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row10_col0\" class=\"data row10 col0\" >1.6265</td>\n",
       "      <td id=\"T_fab5d_row10_col1\" class=\"data row10 col1\" >0.0264</td>\n",
       "      <td id=\"T_fab5d_row10_col2\" class=\"data row10 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row11_col0\" class=\"data row11 col0\" >1.8349</td>\n",
       "      <td id=\"T_fab5d_row11_col1\" class=\"data row11 col1\" >0.0276</td>\n",
       "      <td id=\"T_fab5d_row11_col2\" class=\"data row11 col2\" >114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row12_col0\" class=\"data row12 col0\" >1.8339</td>\n",
       "      <td id=\"T_fab5d_row12_col1\" class=\"data row12 col1\" >0.0247</td>\n",
       "      <td id=\"T_fab5d_row12_col2\" class=\"data row12 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row13_col0\" class=\"data row13 col0\" >1.7725</td>\n",
       "      <td id=\"T_fab5d_row13_col1\" class=\"data row13 col1\" >0.0342</td>\n",
       "      <td id=\"T_fab5d_row13_col2\" class=\"data row13 col2\" >141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row14_col0\" class=\"data row14 col0\" >1.8188</td>\n",
       "      <td id=\"T_fab5d_row14_col1\" class=\"data row14 col1\" >0.0254</td>\n",
       "      <td id=\"T_fab5d_row14_col2\" class=\"data row14 col2\" >105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row15_col0\" class=\"data row15 col0\" >1.8480</td>\n",
       "      <td id=\"T_fab5d_row15_col1\" class=\"data row15 col1\" >0.0191</td>\n",
       "      <td id=\"T_fab5d_row15_col2\" class=\"data row15 col2\" >79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row16_col0\" class=\"data row16 col0\" >1.8333</td>\n",
       "      <td id=\"T_fab5d_row16_col1\" class=\"data row16 col1\" >0.0235</td>\n",
       "      <td id=\"T_fab5d_row16_col2\" class=\"data row16 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row17_col0\" class=\"data row17 col0\" >1.8191</td>\n",
       "      <td id=\"T_fab5d_row17_col1\" class=\"data row17 col1\" >0.0266</td>\n",
       "      <td id=\"T_fab5d_row17_col2\" class=\"data row17 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row18_col0\" class=\"data row18 col0\" >1.7419</td>\n",
       "      <td id=\"T_fab5d_row18_col1\" class=\"data row18 col1\" >0.0266</td>\n",
       "      <td id=\"T_fab5d_row18_col2\" class=\"data row18 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row19_col0\" class=\"data row19 col0\" >1.7642</td>\n",
       "      <td id=\"T_fab5d_row19_col1\" class=\"data row19 col1\" >0.0220</td>\n",
       "      <td id=\"T_fab5d_row19_col2\" class=\"data row19 col2\" >91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row20_col0\" class=\"data row20 col0\" >1.7645</td>\n",
       "      <td id=\"T_fab5d_row20_col1\" class=\"data row20 col1\" >0.0303</td>\n",
       "      <td id=\"T_fab5d_row20_col2\" class=\"data row20 col2\" >125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row21_col0\" class=\"data row21 col0\" >1.7917</td>\n",
       "      <td id=\"T_fab5d_row21_col1\" class=\"data row21 col1\" >0.0266</td>\n",
       "      <td id=\"T_fab5d_row21_col2\" class=\"data row21 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row22_col0\" class=\"data row22 col0\" >1.8651</td>\n",
       "      <td id=\"T_fab5d_row22_col1\" class=\"data row22 col1\" >0.0262</td>\n",
       "      <td id=\"T_fab5d_row22_col2\" class=\"data row22 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row23_col0\" class=\"data row23 col0\" >1.8645</td>\n",
       "      <td id=\"T_fab5d_row23_col1\" class=\"data row23 col1\" >0.0274</td>\n",
       "      <td id=\"T_fab5d_row23_col2\" class=\"data row23 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row24_col0\" class=\"data row24 col0\" >1.8082</td>\n",
       "      <td id=\"T_fab5d_row24_col1\" class=\"data row24 col1\" >0.0286</td>\n",
       "      <td id=\"T_fab5d_row24_col2\" class=\"data row24 col2\" >118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row25_col0\" class=\"data row25 col0\" >1.8483</td>\n",
       "      <td id=\"T_fab5d_row25_col1\" class=\"data row25 col1\" >0.0177</td>\n",
       "      <td id=\"T_fab5d_row25_col2\" class=\"data row25 col2\" >73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row26_col0\" class=\"data row26 col0\" >2.0778</td>\n",
       "      <td id=\"T_fab5d_row26_col1\" class=\"data row26 col1\" >0.0240</td>\n",
       "      <td id=\"T_fab5d_row26_col2\" class=\"data row26 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row27_col0\" class=\"data row27 col0\" >2.0005</td>\n",
       "      <td id=\"T_fab5d_row27_col1\" class=\"data row27 col1\" >0.0187</td>\n",
       "      <td id=\"T_fab5d_row27_col2\" class=\"data row27 col2\" >77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row28_col0\" class=\"data row28 col0\" >1.9724</td>\n",
       "      <td id=\"T_fab5d_row28_col1\" class=\"data row28 col1\" >0.0291</td>\n",
       "      <td id=\"T_fab5d_row28_col2\" class=\"data row28 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row29_col0\" class=\"data row29 col0\" >2.2623</td>\n",
       "      <td id=\"T_fab5d_row29_col1\" class=\"data row29 col1\" >0.0235</td>\n",
       "      <td id=\"T_fab5d_row29_col2\" class=\"data row29 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row30_col0\" class=\"data row30 col0\" >2.0818</td>\n",
       "      <td id=\"T_fab5d_row30_col1\" class=\"data row30 col1\" >0.0230</td>\n",
       "      <td id=\"T_fab5d_row30_col2\" class=\"data row30 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row31_col0\" class=\"data row31 col0\" >2.2889</td>\n",
       "      <td id=\"T_fab5d_row31_col1\" class=\"data row31 col1\" >0.0250</td>\n",
       "      <td id=\"T_fab5d_row31_col2\" class=\"data row31 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row32_col0\" class=\"data row32 col0\" >2.3280</td>\n",
       "      <td id=\"T_fab5d_row32_col1\" class=\"data row32 col1\" >0.0213</td>\n",
       "      <td id=\"T_fab5d_row32_col2\" class=\"data row32 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row33_col0\" class=\"data row33 col0\" >2.5373</td>\n",
       "      <td id=\"T_fab5d_row33_col1\" class=\"data row33 col1\" >0.0254</td>\n",
       "      <td id=\"T_fab5d_row33_col2\" class=\"data row33 col2\" >105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row34_col0\" class=\"data row34 col0\" >2.6787</td>\n",
       "      <td id=\"T_fab5d_row34_col1\" class=\"data row34 col1\" >0.0201</td>\n",
       "      <td id=\"T_fab5d_row34_col2\" class=\"data row34 col2\" >83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row35_col0\" class=\"data row35 col0\" >2.7457</td>\n",
       "      <td id=\"T_fab5d_row35_col1\" class=\"data row35 col1\" >0.0211</td>\n",
       "      <td id=\"T_fab5d_row35_col2\" class=\"data row35 col2\" >87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row36_col0\" class=\"data row36 col0\" >3.0108</td>\n",
       "      <td id=\"T_fab5d_row36_col1\" class=\"data row36 col1\" >0.0303</td>\n",
       "      <td id=\"T_fab5d_row36_col2\" class=\"data row36 col2\" >125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row37_col0\" class=\"data row37 col0\" >3.1596</td>\n",
       "      <td id=\"T_fab5d_row37_col1\" class=\"data row37 col1\" >0.0233</td>\n",
       "      <td id=\"T_fab5d_row37_col2\" class=\"data row37 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row38_col0\" class=\"data row38 col0\" >3.4340</td>\n",
       "      <td id=\"T_fab5d_row38_col1\" class=\"data row38 col1\" >0.0235</td>\n",
       "      <td id=\"T_fab5d_row38_col2\" class=\"data row38 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_fab5d_row39_col0\" class=\"data row39 col0\" >2.7568</td>\n",
       "      <td id=\"T_fab5d_row39_col1\" class=\"data row39 col1\" >0.0245</td>\n",
       "      <td id=\"T_fab5d_row39_col2\" class=\"data row39 col2\" >101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "<table id=\"T_332c0\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_332c0_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_332c0_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
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       "      <th id=\"T_332c0_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 3.43e+00]</th>\n",
       "      <td id=\"T_332c0_row0_col0\" class=\"data row0 col0\" >1.9193</td>\n",
       "      <td id=\"T_332c0_row0_col1\" class=\"data row0 col1\" >0.0501</td>\n",
       "      <td id=\"T_332c0_row0_col2\" class=\"data row0 col2\" >620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_332c0_level0_row1\" class=\"row_heading level0 row1\" >(3.43e+00, 5.62e+00]</th>\n",
       "      <td id=\"T_332c0_row1_col0\" class=\"data row1 col0\" >1.8031</td>\n",
       "      <td id=\"T_332c0_row1_col1\" class=\"data row1 col1\" >0.5749</td>\n",
       "      <td id=\"T_332c0_row1_col2\" class=\"data row1 col2\" >7120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_332c0_level0_row2\" class=\"row_heading level0 row2\" >(5.62e+00, 6.16e+00]</th>\n",
       "      <td id=\"T_332c0_row2_col0\" class=\"data row2 col0\" >2.0516</td>\n",
       "      <td id=\"T_332c0_row2_col1\" class=\"data row2 col1\" >0.1500</td>\n",
       "      <td id=\"T_332c0_row2_col2\" class=\"data row2 col2\" >1857</td>\n",
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       "      <th id=\"T_332c0_level0_row3\" class=\"row_heading level0 row3\" >(6.16e+00, 6.54e+00]</th>\n",
       "      <td id=\"T_332c0_row3_col0\" class=\"data row3 col0\" >2.3401</td>\n",
       "      <td id=\"T_332c0_row3_col1\" class=\"data row3 col1\" >0.0750</td>\n",
       "      <td id=\"T_332c0_row3_col2\" class=\"data row3 col2\" >929</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_332c0_level0_row4\" class=\"row_heading level0 row4\" >(6.54e+00, inf)</th>\n",
       "      <td id=\"T_332c0_row4_col0\" class=\"data row4 col0\" >2.9823</td>\n",
       "      <td id=\"T_332c0_row4_col1\" class=\"data row4 col1\" >0.1500</td>\n",
       "      <td id=\"T_332c0_row4_col2\" class=\"data row4 col2\" >1858</td>\n",
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       "#T_ba55e_row3_col1, #T_ba55e_row3_col2 {\n",
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       "<table id=\"T_ba55e\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_ba55e_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_ba55e_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_ba55e_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_ba55e_row0_col0\" class=\"data row0 col0\" >1.9670</td>\n",
       "      <td id=\"T_ba55e_row0_col1\" class=\"data row0 col1\" >0.0497</td>\n",
       "      <td id=\"T_ba55e_row0_col2\" class=\"data row0 col2\" >205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba55e_row1_col0\" class=\"data row1 col0\" >1.8045</td>\n",
       "      <td id=\"T_ba55e_row1_col1\" class=\"data row1 col1\" >0.6000</td>\n",
       "      <td id=\"T_ba55e_row1_col2\" class=\"data row1 col2\" >2477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba55e_row2_col0\" class=\"data row2 col0\" >2.0474</td>\n",
       "      <td id=\"T_ba55e_row2_col1\" class=\"data row2 col1\" >0.1359</td>\n",
       "      <td id=\"T_ba55e_row2_col2\" class=\"data row2 col2\" >561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba55e_row3_col0\" class=\"data row3 col0\" >2.3886</td>\n",
       "      <td id=\"T_ba55e_row3_col1\" class=\"data row3 col1\" >0.0717</td>\n",
       "      <td id=\"T_ba55e_row3_col2\" class=\"data row3 col2\" >296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_ba55e_row4_col0\" class=\"data row4 col0\" >2.9752</td>\n",
       "      <td id=\"T_ba55e_row4_col1\" class=\"data row4 col1\" >0.1427</td>\n",
       "      <td id=\"T_ba55e_row4_col2\" class=\"data row4 col2\" >589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('AveBedrms') (4/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
    {
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_6b3fb_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_6b3fb_row0_col1\" class=\"data row0 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row0_col2\" class=\"data row0 col2\" >310</td>\n",
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       "      <th id=\"T_6b3fb_level0_row1\" class=\"row_heading level0 row1\" >(9.1220e-01, 9.4022e-01]</th>\n",
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       "      <td id=\"T_6b3fb_row1_col1\" class=\"data row1 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row1_col2\" class=\"data row1 col2\" >310</td>\n",
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       "      <th id=\"T_6b3fb_level0_row2\" class=\"row_heading level0 row2\" >(9.4022e-01, 9.5595e-01]</th>\n",
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       "      <td id=\"T_6b3fb_row2_col1\" class=\"data row2 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row2_col2\" class=\"data row2 col2\" >309</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row3\" class=\"row_heading level0 row3\" >(9.5595e-01, 9.6743e-01]</th>\n",
       "      <td id=\"T_6b3fb_row3_col0\" class=\"data row3 col0\" >2.0756</td>\n",
       "      <td id=\"T_6b3fb_row3_col1\" class=\"data row3 col1\" >0.0251</td>\n",
       "      <td id=\"T_6b3fb_row3_col2\" class=\"data row3 col2\" >311</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row4\" class=\"row_heading level0 row4\" >(9.6743e-01, 9.7590e-01]</th>\n",
       "      <td id=\"T_6b3fb_row4_col0\" class=\"data row4 col0\" >2.2562</td>\n",
       "      <td id=\"T_6b3fb_row4_col1\" class=\"data row4 col1\" >0.0249</td>\n",
       "      <td id=\"T_6b3fb_row4_col2\" class=\"data row4 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row5\" class=\"row_heading level0 row5\" >(9.7590e-01, 9.8343e-01]</th>\n",
       "      <td id=\"T_6b3fb_row5_col0\" class=\"data row5 col0\" >2.1709</td>\n",
       "      <td id=\"T_6b3fb_row5_col1\" class=\"data row5 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row5_col2\" class=\"data row5 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row6\" class=\"row_heading level0 row6\" >(9.8343e-01, 9.8987e-01]</th>\n",
       "      <td id=\"T_6b3fb_row6_col0\" class=\"data row6 col0\" >2.1450</td>\n",
       "      <td id=\"T_6b3fb_row6_col1\" class=\"data row6 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row6_col2\" class=\"data row6 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row7\" class=\"row_heading level0 row7\" >(9.8987e-01, 9.9592e-01]</th>\n",
       "      <td id=\"T_6b3fb_row7_col0\" class=\"data row7 col0\" >2.1772</td>\n",
       "      <td id=\"T_6b3fb_row7_col1\" class=\"data row7 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row7_col2\" class=\"data row7 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row8\" class=\"row_heading level0 row8\" >(9.9592e-01, 1.0019e+00]</th>\n",
       "      <td id=\"T_6b3fb_row8_col0\" class=\"data row8 col0\" >2.1915</td>\n",
       "      <td id=\"T_6b3fb_row8_col1\" class=\"data row8 col1\" >0.0251</td>\n",
       "      <td id=\"T_6b3fb_row8_col2\" class=\"data row8 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row9\" class=\"row_heading level0 row9\" >(1.0019e+00, 1.0068e+00]</th>\n",
       "      <td id=\"T_6b3fb_row9_col0\" class=\"data row9 col0\" >2.0949</td>\n",
       "      <td id=\"T_6b3fb_row9_col1\" class=\"data row9 col1\" >0.0249</td>\n",
       "      <td id=\"T_6b3fb_row9_col2\" class=\"data row9 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row10\" class=\"row_heading level0 row10\" >(1.0068e+00, 1.0112e+00]</th>\n",
       "      <td id=\"T_6b3fb_row10_col0\" class=\"data row10 col0\" >2.2440</td>\n",
       "      <td id=\"T_6b3fb_row10_col1\" class=\"data row10 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row10_col2\" class=\"data row10 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row11\" class=\"row_heading level0 row11\" >(1.0112e+00, 1.0156e+00]</th>\n",
       "      <td id=\"T_6b3fb_row11_col0\" class=\"data row11 col0\" >2.1687</td>\n",
       "      <td id=\"T_6b3fb_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row11_col2\" class=\"data row11 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row12\" class=\"row_heading level0 row12\" >(1.0156e+00, 1.0204e+00]</th>\n",
       "      <td id=\"T_6b3fb_row12_col0\" class=\"data row12 col0\" >2.1723</td>\n",
       "      <td id=\"T_6b3fb_row12_col1\" class=\"data row12 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row12_col2\" class=\"data row12 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row13\" class=\"row_heading level0 row13\" >(1.0204e+00, 1.0250e+00]</th>\n",
       "      <td id=\"T_6b3fb_row13_col0\" class=\"data row13 col0\" >2.2003</td>\n",
       "      <td id=\"T_6b3fb_row13_col1\" class=\"data row13 col1\" >0.0254</td>\n",
       "      <td id=\"T_6b3fb_row13_col2\" class=\"data row13 col2\" >314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row14\" class=\"row_heading level0 row14\" >(1.0250e+00, 1.0290e+00]</th>\n",
       "      <td id=\"T_6b3fb_row14_col0\" class=\"data row14 col0\" >2.1324</td>\n",
       "      <td id=\"T_6b3fb_row14_col1\" class=\"data row14 col1\" >0.0246</td>\n",
       "      <td id=\"T_6b3fb_row14_col2\" class=\"data row14 col2\" >305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row15\" class=\"row_heading level0 row15\" >(1.0290e+00, 1.0331e+00]</th>\n",
       "      <td id=\"T_6b3fb_row15_col0\" class=\"data row15 col0\" >2.1840</td>\n",
       "      <td id=\"T_6b3fb_row15_col1\" class=\"data row15 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row15_col2\" class=\"data row15 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row16\" class=\"row_heading level0 row16\" >(1.0331e+00, 1.0369e+00]</th>\n",
       "      <td id=\"T_6b3fb_row16_col0\" class=\"data row16 col0\" >2.0321</td>\n",
       "      <td id=\"T_6b3fb_row16_col1\" class=\"data row16 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row16_col2\" class=\"data row16 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row17\" class=\"row_heading level0 row17\" >(1.0369e+00, 1.0412e+00]</th>\n",
       "      <td id=\"T_6b3fb_row17_col0\" class=\"data row17 col0\" >2.1746</td>\n",
       "      <td id=\"T_6b3fb_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row17_col2\" class=\"data row17 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row18\" class=\"row_heading level0 row18\" >(1.0412e+00, 1.0453e+00]</th>\n",
       "      <td id=\"T_6b3fb_row18_col0\" class=\"data row18 col0\" >2.2536</td>\n",
       "      <td id=\"T_6b3fb_row18_col1\" class=\"data row18 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row18_col2\" class=\"data row18 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row19\" class=\"row_heading level0 row19\" >(1.0453e+00, 1.0493e+00]</th>\n",
       "      <td id=\"T_6b3fb_row19_col0\" class=\"data row19 col0\" >2.1546</td>\n",
       "      <td id=\"T_6b3fb_row19_col1\" class=\"data row19 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row19_col2\" class=\"data row19 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row20\" class=\"row_heading level0 row20\" >(1.0493e+00, 1.0534e+00]</th>\n",
       "      <td id=\"T_6b3fb_row20_col0\" class=\"data row20 col0\" >2.0738</td>\n",
       "      <td id=\"T_6b3fb_row20_col1\" class=\"data row20 col1\" >0.0251</td>\n",
       "      <td id=\"T_6b3fb_row20_col2\" class=\"data row20 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row21\" class=\"row_heading level0 row21\" >(1.0534e+00, 1.0574e+00]</th>\n",
       "      <td id=\"T_6b3fb_row21_col0\" class=\"data row21 col0\" >2.1224</td>\n",
       "      <td id=\"T_6b3fb_row21_col1\" class=\"data row21 col1\" >0.0249</td>\n",
       "      <td id=\"T_6b3fb_row21_col2\" class=\"data row21 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row22\" class=\"row_heading level0 row22\" >(1.0574e+00, 1.0615e+00]</th>\n",
       "      <td id=\"T_6b3fb_row22_col0\" class=\"data row22 col0\" >2.0414</td>\n",
       "      <td id=\"T_6b3fb_row22_col1\" class=\"data row22 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row22_col2\" class=\"data row22 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row23\" class=\"row_heading level0 row23\" >(1.0615e+00, 1.0662e+00]</th>\n",
       "      <td id=\"T_6b3fb_row23_col0\" class=\"data row23 col0\" >2.1569</td>\n",
       "      <td id=\"T_6b3fb_row23_col1\" class=\"data row23 col1\" >0.0251</td>\n",
       "      <td id=\"T_6b3fb_row23_col2\" class=\"data row23 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row24\" class=\"row_heading level0 row24\" >(1.0662e+00, 1.0712e+00]</th>\n",
       "      <td id=\"T_6b3fb_row24_col0\" class=\"data row24 col0\" >2.0972</td>\n",
       "      <td id=\"T_6b3fb_row24_col1\" class=\"data row24 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row24_col2\" class=\"data row24 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row25\" class=\"row_heading level0 row25\" >(1.0712e+00, 1.0763e+00]</th>\n",
       "      <td id=\"T_6b3fb_row25_col0\" class=\"data row25 col0\" >2.0714</td>\n",
       "      <td id=\"T_6b3fb_row25_col1\" class=\"data row25 col1\" >0.0249</td>\n",
       "      <td id=\"T_6b3fb_row25_col2\" class=\"data row25 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row26\" class=\"row_heading level0 row26\" >(1.0763e+00, 1.0816e+00]</th>\n",
       "      <td id=\"T_6b3fb_row26_col0\" class=\"data row26 col0\" >2.0244</td>\n",
       "      <td id=\"T_6b3fb_row26_col1\" class=\"data row26 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row26_col2\" class=\"data row26 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row27\" class=\"row_heading level0 row27\" >(1.0816e+00, 1.0874e+00]</th>\n",
       "      <td id=\"T_6b3fb_row27_col0\" class=\"data row27 col0\" >2.0135</td>\n",
       "      <td id=\"T_6b3fb_row27_col1\" class=\"data row27 col1\" >0.0252</td>\n",
       "      <td id=\"T_6b3fb_row27_col2\" class=\"data row27 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row28\" class=\"row_heading level0 row28\" >(1.0874e+00, 1.0933e+00]</th>\n",
       "      <td id=\"T_6b3fb_row28_col0\" class=\"data row28 col0\" >2.2239</td>\n",
       "      <td id=\"T_6b3fb_row28_col1\" class=\"data row28 col1\" >0.0249</td>\n",
       "      <td id=\"T_6b3fb_row28_col2\" class=\"data row28 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row29\" class=\"row_heading level0 row29\" >(1.0933e+00, 1.1000e+00]</th>\n",
       "      <td id=\"T_6b3fb_row29_col0\" class=\"data row29 col0\" >2.0244</td>\n",
       "      <td id=\"T_6b3fb_row29_col1\" class=\"data row29 col1\" >0.0262</td>\n",
       "      <td id=\"T_6b3fb_row29_col2\" class=\"data row29 col2\" >324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row30\" class=\"row_heading level0 row30\" >(1.1000e+00, 1.1071e+00]</th>\n",
       "      <td id=\"T_6b3fb_row30_col0\" class=\"data row30 col0\" >2.0077</td>\n",
       "      <td id=\"T_6b3fb_row30_col1\" class=\"data row30 col1\" >0.0242</td>\n",
       "      <td id=\"T_6b3fb_row30_col2\" class=\"data row30 col2\" >300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row31\" class=\"row_heading level0 row31\" >(1.1071e+00, 1.1160e+00]</th>\n",
       "      <td id=\"T_6b3fb_row31_col0\" class=\"data row31 col0\" >1.9564</td>\n",
       "      <td id=\"T_6b3fb_row31_col1\" class=\"data row31 col1\" >0.0245</td>\n",
       "      <td id=\"T_6b3fb_row31_col2\" class=\"data row31 col2\" >304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row32\" class=\"row_heading level0 row32\" >(1.1160e+00, 1.1267e+00]</th>\n",
       "      <td id=\"T_6b3fb_row32_col0\" class=\"data row32 col0\" >2.0077</td>\n",
       "      <td id=\"T_6b3fb_row32_col1\" class=\"data row32 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row32_col2\" class=\"data row32 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row33\" class=\"row_heading level0 row33\" >(1.1267e+00, 1.1387e+00]</th>\n",
       "      <td id=\"T_6b3fb_row33_col0\" class=\"data row33 col0\" >1.9305</td>\n",
       "      <td id=\"T_6b3fb_row33_col1\" class=\"data row33 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row33_col2\" class=\"data row33 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row34\" class=\"row_heading level0 row34\" >(1.1387e+00, 1.1538e+00]</th>\n",
       "      <td id=\"T_6b3fb_row34_col0\" class=\"data row34 col0\" >1.8130</td>\n",
       "      <td id=\"T_6b3fb_row34_col1\" class=\"data row34 col1\" >0.0258</td>\n",
       "      <td id=\"T_6b3fb_row34_col2\" class=\"data row34 col2\" >319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row35\" class=\"row_heading level0 row35\" >(1.1538e+00, 1.1739e+00]</th>\n",
       "      <td id=\"T_6b3fb_row35_col0\" class=\"data row35 col0\" >1.8060</td>\n",
       "      <td id=\"T_6b3fb_row35_col1\" class=\"data row35 col1\" >0.0242</td>\n",
       "      <td id=\"T_6b3fb_row35_col2\" class=\"data row35 col2\" >300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row36\" class=\"row_heading level0 row36\" >(1.1739e+00, 1.2074e+00]</th>\n",
       "      <td id=\"T_6b3fb_row36_col0\" class=\"data row36 col0\" >1.9109</td>\n",
       "      <td id=\"T_6b3fb_row36_col1\" class=\"data row36 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row36_col2\" class=\"data row36 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row37\" class=\"row_heading level0 row37\" >(1.2074e+00, 1.2730e+00]</th>\n",
       "      <td id=\"T_6b3fb_row37_col0\" class=\"data row37 col0\" >1.8950</td>\n",
       "      <td id=\"T_6b3fb_row37_col1\" class=\"data row37 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row37_col2\" class=\"data row37 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row38\" class=\"row_heading level0 row38\" >(1.2730e+00, 1.5018e+00]</th>\n",
       "      <td id=\"T_6b3fb_row38_col0\" class=\"data row38 col0\" >1.7962</td>\n",
       "      <td id=\"T_6b3fb_row38_col1\" class=\"data row38 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row38_col2\" class=\"data row38 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_6b3fb_level0_row39\" class=\"row_heading level0 row39\" >(1.5018e+00, inf)</th>\n",
       "      <td id=\"T_6b3fb_row39_col0\" class=\"data row39 col0\" >1.4931</td>\n",
       "      <td id=\"T_6b3fb_row39_col1\" class=\"data row39 col1\" >0.0250</td>\n",
       "      <td id=\"T_6b3fb_row39_col2\" class=\"data row39 col2\" >310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "  background-color: #85a8fc;\n",
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       "#T_f9328_row2_col0 {\n",
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       "  background-color: #ccd9ed;\n",
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       "#T_f9328_row15_col1, #T_f9328_row15_col2 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row16_col0 {\n",
       "  background-color: #f3c8b2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row17_col0, #T_f9328_row21_col0 {\n",
       "  background-color: #f59d7e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row17_col1, #T_f9328_row17_col2, #T_f9328_row20_col0, #T_f9328_row32_col1, #T_f9328_row32_col2, #T_f9328_row36_col1, #T_f9328_row36_col2 {\n",
       "  background-color: #d2dbe8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row18_col0, #T_f9328_row27_col0 {\n",
       "  background-color: #dfdbd9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row18_col1, #T_f9328_row18_col2, #T_f9328_row23_col1, #T_f9328_row23_col2, #T_f9328_row34_col0 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row19_col0 {\n",
       "  background-color: #dbdcde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row19_col1, #T_f9328_row19_col2, #T_f9328_row21_col1, #T_f9328_row21_col2 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_f9328_row20_col1, #T_f9328_row20_col2 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row22_col0 {\n",
       "  background-color: #bad0f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row22_col1, #T_f9328_row22_col2 {\n",
       "  background-color: #c7d7f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row23_col0 {\n",
       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row24_col0 {\n",
       "  background-color: #f59f80;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row24_col1, #T_f9328_row24_col2, #T_f9328_row29_col1, #T_f9328_row29_col2 {\n",
       "  background-color: #ebd3c6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row25_col0 {\n",
       "  background-color: #cad8ef;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row25_col1, #T_f9328_row25_col2, #T_f9328_row31_col1, #T_f9328_row31_col2, #T_f9328_row34_col1, #T_f9328_row34_col2 {\n",
       "  background-color: #e7d7ce;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row28_col0 {\n",
       "  background-color: #bbd1f8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row28_col1, #T_f9328_row28_col2 {\n",
       "  background-color: #dadce0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row29_col0 {\n",
       "  background-color: #f2c9b4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row30_col0 {\n",
       "  background-color: #b2ccfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row30_col1, #T_f9328_row30_col2 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_f9328_row31_col0 {\n",
       "  background-color: #a2c1ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row32_col0 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row33_col0 {\n",
       "  background-color: #dcdddd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row33_col1, #T_f9328_row33_col2 {\n",
       "  background-color: #5470de;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_f9328_row35_col0 {\n",
       "  background-color: #8db0fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row35_col1, #T_f9328_row35_col2, #T_f9328_row38_col1, #T_f9328_row38_col2 {\n",
       "  background-color: #bcd2f7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row36_col0 {\n",
       "  background-color: #e1dad6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_f9328_row37_col0 {\n",
       "  background-color: #485fd1;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_f9328_row38_col0 {\n",
       "  background-color: #6788ee;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_f9328\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_f9328_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_f9328_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_f9328_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row0_col0\" class=\"data row0 col0\" >1.7961</td>\n",
       "      <td id=\"T_f9328_row0_col1\" class=\"data row0 col1\" >0.0252</td>\n",
       "      <td id=\"T_f9328_row0_col2\" class=\"data row0 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row1_col0\" class=\"data row1 col0\" >2.0098</td>\n",
       "      <td id=\"T_f9328_row1_col1\" class=\"data row1 col1\" >0.0298</td>\n",
       "      <td id=\"T_f9328_row1_col2\" class=\"data row1 col2\" >123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row2_col0\" class=\"data row2 col0\" >2.3039</td>\n",
       "      <td id=\"T_f9328_row2_col1\" class=\"data row2 col1\" >0.0257</td>\n",
       "      <td id=\"T_f9328_row2_col2\" class=\"data row2 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row3_col0\" class=\"data row3 col0\" >2.2390</td>\n",
       "      <td id=\"T_f9328_row3_col1\" class=\"data row3 col1\" >0.0262</td>\n",
       "      <td id=\"T_f9328_row3_col2\" class=\"data row3 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row4_col0\" class=\"data row4 col0\" >2.3293</td>\n",
       "      <td id=\"T_f9328_row4_col1\" class=\"data row4 col1\" >0.0240</td>\n",
       "      <td id=\"T_f9328_row4_col2\" class=\"data row4 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row5_col0\" class=\"data row5 col0\" >1.9318</td>\n",
       "      <td id=\"T_f9328_row5_col1\" class=\"data row5 col1\" >0.0194</td>\n",
       "      <td id=\"T_f9328_row5_col2\" class=\"data row5 col2\" >80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row6_col0\" class=\"data row6 col0\" >2.1575</td>\n",
       "      <td id=\"T_f9328_row6_col1\" class=\"data row6 col1\" >0.0199</td>\n",
       "      <td id=\"T_f9328_row6_col2\" class=\"data row6 col2\" >82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row7_col0\" class=\"data row7 col0\" >2.1740</td>\n",
       "      <td id=\"T_f9328_row7_col1\" class=\"data row7 col1\" >0.0291</td>\n",
       "      <td id=\"T_f9328_row7_col2\" class=\"data row7 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row8_col0\" class=\"data row8 col0\" >2.2207</td>\n",
       "      <td id=\"T_f9328_row8_col1\" class=\"data row8 col1\" >0.0337</td>\n",
       "      <td id=\"T_f9328_row8_col2\" class=\"data row8 col2\" >139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row9_col0\" class=\"data row9 col0\" >2.1811</td>\n",
       "      <td id=\"T_f9328_row9_col1\" class=\"data row9 col1\" >0.0233</td>\n",
       "      <td id=\"T_f9328_row9_col2\" class=\"data row9 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row10_col0\" class=\"data row10 col0\" >2.0475</td>\n",
       "      <td id=\"T_f9328_row10_col1\" class=\"data row10 col1\" >0.0262</td>\n",
       "      <td id=\"T_f9328_row10_col2\" class=\"data row10 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row11_col0\" class=\"data row11 col0\" >2.2743</td>\n",
       "      <td id=\"T_f9328_row11_col1\" class=\"data row11 col1\" >0.0218</td>\n",
       "      <td id=\"T_f9328_row11_col2\" class=\"data row11 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row12_col0\" class=\"data row12 col0\" >2.2627</td>\n",
       "      <td id=\"T_f9328_row12_col1\" class=\"data row12 col1\" >0.0293</td>\n",
       "      <td id=\"T_f9328_row12_col2\" class=\"data row12 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row13_col0\" class=\"data row13 col0\" >2.1068</td>\n",
       "      <td id=\"T_f9328_row13_col1\" class=\"data row13 col1\" >0.0247</td>\n",
       "      <td id=\"T_f9328_row13_col2\" class=\"data row13 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row14_col0\" class=\"data row14 col0\" >2.4459</td>\n",
       "      <td id=\"T_f9328_row14_col1\" class=\"data row14 col1\" >0.0228</td>\n",
       "      <td id=\"T_f9328_row14_col2\" class=\"data row14 col2\" >94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row15_col0\" class=\"data row15 col0\" >2.1280</td>\n",
       "      <td id=\"T_f9328_row15_col1\" class=\"data row15 col1\" >0.0269</td>\n",
       "      <td id=\"T_f9328_row15_col2\" class=\"data row15 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row16_col0\" class=\"data row16 col0\" >2.1193</td>\n",
       "      <td id=\"T_f9328_row16_col1\" class=\"data row16 col1\" >0.0240</td>\n",
       "      <td id=\"T_f9328_row16_col2\" class=\"data row16 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row17_col0\" class=\"data row17 col0\" >2.2280</td>\n",
       "      <td id=\"T_f9328_row17_col1\" class=\"data row17 col1\" >0.0259</td>\n",
       "      <td id=\"T_f9328_row17_col2\" class=\"data row17 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row18_col0\" class=\"data row18 col0\" >2.0336</td>\n",
       "      <td id=\"T_f9328_row18_col1\" class=\"data row18 col1\" >0.0237</td>\n",
       "      <td id=\"T_f9328_row18_col2\" class=\"data row18 col2\" >98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row19_col0\" class=\"data row19 col0\" >2.0195</td>\n",
       "      <td id=\"T_f9328_row19_col1\" class=\"data row19 col1\" >0.0216</td>\n",
       "      <td id=\"T_f9328_row19_col2\" class=\"data row19 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row20_col0\" class=\"data row20 col0\" >1.9898</td>\n",
       "      <td id=\"T_f9328_row20_col1\" class=\"data row20 col1\" >0.0235</td>\n",
       "      <td id=\"T_f9328_row20_col2\" class=\"data row20 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row21_col0\" class=\"data row21 col0\" >2.2270</td>\n",
       "      <td id=\"T_f9328_row21_col1\" class=\"data row21 col1\" >0.0216</td>\n",
       "      <td id=\"T_f9328_row21_col2\" class=\"data row21 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row22_col0\" class=\"data row22 col0\" >1.9244</td>\n",
       "      <td id=\"T_f9328_row22_col1\" class=\"data row22 col1\" >0.0254</td>\n",
       "      <td id=\"T_f9328_row22_col2\" class=\"data row22 col2\" >105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row23_col0\" class=\"data row23 col0\" >2.1509</td>\n",
       "      <td id=\"T_f9328_row23_col1\" class=\"data row23 col1\" >0.0237</td>\n",
       "      <td id=\"T_f9328_row23_col2\" class=\"data row23 col2\" >98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row24_col0\" class=\"data row24 col0\" >2.2223</td>\n",
       "      <td id=\"T_f9328_row24_col1\" class=\"data row24 col1\" >0.0274</td>\n",
       "      <td id=\"T_f9328_row24_col2\" class=\"data row24 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row25_col0\" class=\"data row25 col0\" >1.9654</td>\n",
       "      <td id=\"T_f9328_row25_col1\" class=\"data row25 col1\" >0.0271</td>\n",
       "      <td id=\"T_f9328_row25_col2\" class=\"data row25 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row26_col0\" class=\"data row26 col0\" >2.1085</td>\n",
       "      <td id=\"T_f9328_row26_col1\" class=\"data row26 col1\" >0.0257</td>\n",
       "      <td id=\"T_f9328_row26_col2\" class=\"data row26 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row27_col0\" class=\"data row27 col0\" >2.0332</td>\n",
       "      <td id=\"T_f9328_row27_col1\" class=\"data row27 col1\" >0.0240</td>\n",
       "      <td id=\"T_f9328_row27_col2\" class=\"data row27 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row28_col0\" class=\"data row28 col0\" >1.9262</td>\n",
       "      <td id=\"T_f9328_row28_col1\" class=\"data row28 col1\" >0.0264</td>\n",
       "      <td id=\"T_f9328_row28_col2\" class=\"data row28 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row29_col0\" class=\"data row29 col0\" >2.1139</td>\n",
       "      <td id=\"T_f9328_row29_col1\" class=\"data row29 col1\" >0.0274</td>\n",
       "      <td id=\"T_f9328_row29_col2\" class=\"data row29 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row30_col0\" class=\"data row30 col0\" >1.9025</td>\n",
       "      <td id=\"T_f9328_row30_col1\" class=\"data row30 col1\" >0.0225</td>\n",
       "      <td id=\"T_f9328_row30_col2\" class=\"data row30 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row31_col0\" class=\"data row31 col0\" >1.8628</td>\n",
       "      <td id=\"T_f9328_row31_col1\" class=\"data row31 col1\" >0.0271</td>\n",
       "      <td id=\"T_f9328_row31_col2\" class=\"data row31 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row32_col0\" class=\"data row32 col0\" >1.9501</td>\n",
       "      <td id=\"T_f9328_row32_col1\" class=\"data row32 col1\" >0.0259</td>\n",
       "      <td id=\"T_f9328_row32_col2\" class=\"data row32 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row33_col0\" class=\"data row33 col0\" >2.0231</td>\n",
       "      <td id=\"T_f9328_row33_col1\" class=\"data row33 col1\" >0.0206</td>\n",
       "      <td id=\"T_f9328_row33_col2\" class=\"data row33 col2\" >85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row34_col0\" class=\"data row34 col0\" >1.8622</td>\n",
       "      <td id=\"T_f9328_row34_col1\" class=\"data row34 col1\" >0.0271</td>\n",
       "      <td id=\"T_f9328_row34_col2\" class=\"data row34 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row35_col0\" class=\"data row35 col0\" >1.8137</td>\n",
       "      <td id=\"T_f9328_row35_col1\" class=\"data row35 col1\" >0.0250</td>\n",
       "      <td id=\"T_f9328_row35_col2\" class=\"data row35 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row36_col0\" class=\"data row36 col0\" >2.0399</td>\n",
       "      <td id=\"T_f9328_row36_col1\" class=\"data row36 col1\" >0.0259</td>\n",
       "      <td id=\"T_f9328_row36_col2\" class=\"data row36 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row37_col0\" class=\"data row37 col0\" >1.6392</td>\n",
       "      <td id=\"T_f9328_row37_col1\" class=\"data row37 col1\" >0.0218</td>\n",
       "      <td id=\"T_f9328_row37_col2\" class=\"data row37 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row38_col0\" class=\"data row38 col0\" >1.7221</td>\n",
       "      <td id=\"T_f9328_row38_col1\" class=\"data row38 col1\" >0.0250</td>\n",
       "      <td id=\"T_f9328_row38_col2\" class=\"data row38 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_f9328_row39_col0\" class=\"data row39 col0\" >1.6019</td>\n",
       "      <td id=\"T_f9328_row39_col1\" class=\"data row39 col1\" >0.0240</td>\n",
       "      <td id=\"T_f9328_row39_col2\" class=\"data row39 col2\" >99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "  background-color: #c5d6f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_25616_row3_col1, #T_25616_row3_col2 {\n",
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       "  color: #f1f1f1;\n",
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       "#T_25616_row4_col0, #T_25616_row4_col1, #T_25616_row4_col2 {\n",
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       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_25616\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_25616_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_25616_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_25616_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th id=\"T_25616_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 1.049e+00]</th>\n",
       "      <td id=\"T_25616_row0_col0\" class=\"data row0 col0\" >2.1535</td>\n",
       "      <td id=\"T_25616_row0_col1\" class=\"data row0 col1\" >0.5000</td>\n",
       "      <td id=\"T_25616_row0_col2\" class=\"data row0 col2\" >6192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_25616_level0_row1\" class=\"row_heading level0 row1\" >(1.049e+00, 1.093e+00]</th>\n",
       "      <td id=\"T_25616_row1_col0\" class=\"data row1 col0\" >2.0915</td>\n",
       "      <td id=\"T_25616_row1_col1\" class=\"data row1 col1\" >0.2250</td>\n",
       "      <td id=\"T_25616_row1_col2\" class=\"data row1 col2\" >2787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_25616_level0_row2\" class=\"row_heading level0 row2\" >(1.093e+00, 1.139e+00]</th>\n",
       "      <td id=\"T_25616_row2_col0\" class=\"data row2 col0\" >1.9857</td>\n",
       "      <td id=\"T_25616_row2_col1\" class=\"data row2 col1\" >0.1249</td>\n",
       "      <td id=\"T_25616_row2_col2\" class=\"data row2 col2\" >1547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_25616_level0_row3\" class=\"row_heading level0 row3\" >(1.139e+00, 1.273e+00]</th>\n",
       "      <td id=\"T_25616_row3_col0\" class=\"data row3 col0\" >1.8563</td>\n",
       "      <td id=\"T_25616_row3_col1\" class=\"data row3 col1\" >0.1000</td>\n",
       "      <td id=\"T_25616_row3_col2\" class=\"data row3 col2\" >1238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_25616_level0_row4\" class=\"row_heading level0 row4\" >(1.273e+00, inf)</th>\n",
       "      <td id=\"T_25616_row4_col0\" class=\"data row4 col0\" >1.6446</td>\n",
       "      <td id=\"T_25616_row4_col1\" class=\"data row4 col1\" >0.0501</td>\n",
       "      <td id=\"T_25616_row4_col2\" class=\"data row4 col2\" >620</td>\n",
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       "  background-color: #ec8165;\n",
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       "  background-color: #f5c4ac;\n",
       "  color: #000000;\n",
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       "#T_6bd85_row2_col1, #T_6bd85_row2_col2 {\n",
       "  background-color: #6f92f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6bd85_row3_col0 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_6bd85_row3_col1, #T_6bd85_row3_col2 {\n",
       "  background-color: #5d7ce6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_6bd85_row4_col0, #T_6bd85_row4_col1, #T_6bd85_row4_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
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       "</style>\n",
       "<table id=\"T_6bd85\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_6bd85_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_6bd85_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_6bd85_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_6bd85_row0_col0\" class=\"data row0 col0\" >2.1526</td>\n",
       "      <td id=\"T_6bd85_row0_col1\" class=\"data row0 col1\" >0.5029</td>\n",
       "      <td id=\"T_6bd85_row0_col2\" class=\"data row0 col2\" >2076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6bd85_row1_col0\" class=\"data row1 col0\" >2.0582</td>\n",
       "      <td id=\"T_6bd85_row1_col1\" class=\"data row1 col1\" >0.2248</td>\n",
       "      <td id=\"T_6bd85_row1_col2\" class=\"data row1 col2\" >928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6bd85_row2_col0\" class=\"data row2 col0\" >1.9707</td>\n",
       "      <td id=\"T_6bd85_row2_col1\" class=\"data row2 col1\" >0.1235</td>\n",
       "      <td id=\"T_6bd85_row2_col2\" class=\"data row2 col2\" >510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6bd85_row3_col0\" class=\"data row3 col0\" >1.8475</td>\n",
       "      <td id=\"T_6bd85_row3_col1\" class=\"data row3 col1\" >0.0998</td>\n",
       "      <td id=\"T_6bd85_row3_col2\" class=\"data row3 col2\" >412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_6bd85_row4_col0\" class=\"data row4 col0\" >1.6632</td>\n",
       "      <td id=\"T_6bd85_row4_col1\" class=\"data row4 col1\" >0.0489</td>\n",
       "      <td id=\"T_6bd85_row4_col2\" class=\"data row4 col2\" >202</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('Population') (5/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
    {
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       "<table id=\"T_5031d\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_5031d_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_5031d_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
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       "  <tbody>\n",
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       "      <th id=\"T_5031d_level0_row0\" class=\"row_heading level0 row0\" >(-inf, 2.08e+02]</th>\n",
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       "      <td id=\"T_5031d_row0_col1\" class=\"data row0 col1\" >0.0251</td>\n",
       "      <td id=\"T_5031d_row0_col2\" class=\"data row0 col2\" >311</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row1\" class=\"row_heading level0 row1\" >(2.08e+02, 3.53e+02]</th>\n",
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       "      <td id=\"T_5031d_row1_col1\" class=\"data row1 col1\" >0.0251</td>\n",
       "      <td id=\"T_5031d_row1_col2\" class=\"data row1 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row2\" class=\"row_heading level0 row2\" >(3.53e+02, 4.42e+02]</th>\n",
       "      <td id=\"T_5031d_row2_col0\" class=\"data row2 col0\" >2.0655</td>\n",
       "      <td id=\"T_5031d_row2_col1\" class=\"data row2 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row2_col2\" class=\"data row2 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row3\" class=\"row_heading level0 row3\" >(4.42e+02, 5.12e+02]</th>\n",
       "      <td id=\"T_5031d_row3_col0\" class=\"data row3 col0\" >2.2067</td>\n",
       "      <td id=\"T_5031d_row3_col1\" class=\"data row3 col1\" >0.0249</td>\n",
       "      <td id=\"T_5031d_row3_col2\" class=\"data row3 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row4\" class=\"row_heading level0 row4\" >(5.12e+02, 5.75e+02]</th>\n",
       "      <td id=\"T_5031d_row4_col0\" class=\"data row4 col0\" >2.1327</td>\n",
       "      <td id=\"T_5031d_row4_col1\" class=\"data row4 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row4_col2\" class=\"data row4 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row5\" class=\"row_heading level0 row5\" >(5.75e+02, 6.27e+02]</th>\n",
       "      <td id=\"T_5031d_row5_col0\" class=\"data row5 col0\" >2.0731</td>\n",
       "      <td id=\"T_5031d_row5_col1\" class=\"data row5 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row5_col2\" class=\"data row5 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row6\" class=\"row_heading level0 row6\" >(6.27e+02, 6.75e+02]</th>\n",
       "      <td id=\"T_5031d_row6_col0\" class=\"data row6 col0\" >2.3627</td>\n",
       "      <td id=\"T_5031d_row6_col1\" class=\"data row6 col1\" >0.0249</td>\n",
       "      <td id=\"T_5031d_row6_col2\" class=\"data row6 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row7\" class=\"row_heading level0 row7\" >(6.75e+02, 7.16e+02]</th>\n",
       "      <td id=\"T_5031d_row7_col0\" class=\"data row7 col0\" >2.2006</td>\n",
       "      <td id=\"T_5031d_row7_col1\" class=\"data row7 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row7_col2\" class=\"data row7 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row8\" class=\"row_heading level0 row8\" >(7.16e+02, 7.56e+02]</th>\n",
       "      <td id=\"T_5031d_row8_col0\" class=\"data row8 col0\" >2.0900</td>\n",
       "      <td id=\"T_5031d_row8_col1\" class=\"data row8 col1\" >0.0253</td>\n",
       "      <td id=\"T_5031d_row8_col2\" class=\"data row8 col2\" >313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row9\" class=\"row_heading level0 row9\" >(7.56e+02, 7.94e+02]</th>\n",
       "      <td id=\"T_5031d_row9_col0\" class=\"data row9 col0\" >2.0191</td>\n",
       "      <td id=\"T_5031d_row9_col1\" class=\"data row9 col1\" >0.0251</td>\n",
       "      <td id=\"T_5031d_row9_col2\" class=\"data row9 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row10\" class=\"row_heading level0 row10\" >(7.94e+02, 8.32e+02]</th>\n",
       "      <td id=\"T_5031d_row10_col0\" class=\"data row10 col0\" >2.3248</td>\n",
       "      <td id=\"T_5031d_row10_col1\" class=\"data row10 col1\" >0.0251</td>\n",
       "      <td id=\"T_5031d_row10_col2\" class=\"data row10 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row11\" class=\"row_heading level0 row11\" >(8.32e+02, 8.67e+02]</th>\n",
       "      <td id=\"T_5031d_row11_col0\" class=\"data row11 col0\" >2.0763</td>\n",
       "      <td id=\"T_5031d_row11_col1\" class=\"data row11 col1\" >0.0253</td>\n",
       "      <td id=\"T_5031d_row11_col2\" class=\"data row11 col2\" >313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row12\" class=\"row_heading level0 row12\" >(8.67e+02, 9.02e+02]</th>\n",
       "      <td id=\"T_5031d_row12_col0\" class=\"data row12 col0\" >2.0313</td>\n",
       "      <td id=\"T_5031d_row12_col1\" class=\"data row12 col1\" >0.0247</td>\n",
       "      <td id=\"T_5031d_row12_col2\" class=\"data row12 col2\" >306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row13\" class=\"row_heading level0 row13\" >(9.02e+02, 9.40e+02]</th>\n",
       "      <td id=\"T_5031d_row13_col0\" class=\"data row13 col0\" >2.1185</td>\n",
       "      <td id=\"T_5031d_row13_col1\" class=\"data row13 col1\" >0.0247</td>\n",
       "      <td id=\"T_5031d_row13_col2\" class=\"data row13 col2\" >306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row14\" class=\"row_heading level0 row14\" >(9.40e+02, 9.78e+02]</th>\n",
       "      <td id=\"T_5031d_row14_col0\" class=\"data row14 col0\" >2.1790</td>\n",
       "      <td id=\"T_5031d_row14_col1\" class=\"data row14 col1\" >0.0253</td>\n",
       "      <td id=\"T_5031d_row14_col2\" class=\"data row14 col2\" >313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row15\" class=\"row_heading level0 row15\" >(9.78e+02, 1.02e+03]</th>\n",
       "      <td id=\"T_5031d_row15_col0\" class=\"data row15 col0\" >2.0746</td>\n",
       "      <td id=\"T_5031d_row15_col1\" class=\"data row15 col1\" >0.0249</td>\n",
       "      <td id=\"T_5031d_row15_col2\" class=\"data row15 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row16\" class=\"row_heading level0 row16\" >(1.02e+03, 1.06e+03]</th>\n",
       "      <td id=\"T_5031d_row16_col0\" class=\"data row16 col0\" >1.9522</td>\n",
       "      <td id=\"T_5031d_row16_col1\" class=\"data row16 col1\" >0.0247</td>\n",
       "      <td id=\"T_5031d_row16_col2\" class=\"data row16 col2\" >306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row17\" class=\"row_heading level0 row17\" >(1.06e+03, 1.09e+03]</th>\n",
       "      <td id=\"T_5031d_row17_col0\" class=\"data row17 col0\" >2.1186</td>\n",
       "      <td id=\"T_5031d_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row17_col2\" class=\"data row17 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row18\" class=\"row_heading level0 row18\" >(1.09e+03, 1.13e+03]</th>\n",
       "      <td id=\"T_5031d_row18_col0\" class=\"data row18 col0\" >2.0592</td>\n",
       "      <td id=\"T_5031d_row18_col1\" class=\"data row18 col1\" >0.0252</td>\n",
       "      <td id=\"T_5031d_row18_col2\" class=\"data row18 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row19\" class=\"row_heading level0 row19\" >(1.13e+03, 1.17e+03]</th>\n",
       "      <td id=\"T_5031d_row19_col0\" class=\"data row19 col0\" >2.0640</td>\n",
       "      <td id=\"T_5031d_row19_col1\" class=\"data row19 col1\" >0.0252</td>\n",
       "      <td id=\"T_5031d_row19_col2\" class=\"data row19 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row20\" class=\"row_heading level0 row20\" >(1.17e+03, 1.22e+03]</th>\n",
       "      <td id=\"T_5031d_row20_col0\" class=\"data row20 col0\" >2.0134</td>\n",
       "      <td id=\"T_5031d_row20_col1\" class=\"data row20 col1\" >0.0249</td>\n",
       "      <td id=\"T_5031d_row20_col2\" class=\"data row20 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row21\" class=\"row_heading level0 row21\" >(1.22e+03, 1.26e+03]</th>\n",
       "      <td id=\"T_5031d_row21_col0\" class=\"data row21 col0\" >2.1690</td>\n",
       "      <td id=\"T_5031d_row21_col1\" class=\"data row21 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row21_col2\" class=\"data row21 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row22\" class=\"row_heading level0 row22\" >(1.26e+03, 1.30e+03]</th>\n",
       "      <td id=\"T_5031d_row22_col0\" class=\"data row22 col0\" >2.0558</td>\n",
       "      <td id=\"T_5031d_row22_col1\" class=\"data row22 col1\" >0.0248</td>\n",
       "      <td id=\"T_5031d_row22_col2\" class=\"data row22 col2\" >307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row23\" class=\"row_heading level0 row23\" >(1.30e+03, 1.35e+03]</th>\n",
       "      <td id=\"T_5031d_row23_col0\" class=\"data row23 col0\" >1.9711</td>\n",
       "      <td id=\"T_5031d_row23_col1\" class=\"data row23 col1\" >0.0249</td>\n",
       "      <td id=\"T_5031d_row23_col2\" class=\"data row23 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row24\" class=\"row_heading level0 row24\" >(1.35e+03, 1.41e+03]</th>\n",
       "      <td id=\"T_5031d_row24_col0\" class=\"data row24 col0\" >2.0185</td>\n",
       "      <td id=\"T_5031d_row24_col1\" class=\"data row24 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row24_col2\" class=\"data row24 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row25\" class=\"row_heading level0 row25\" >(1.41e+03, 1.46e+03]</th>\n",
       "      <td id=\"T_5031d_row25_col0\" class=\"data row25 col0\" >2.0004</td>\n",
       "      <td id=\"T_5031d_row25_col1\" class=\"data row25 col1\" >0.0251</td>\n",
       "      <td id=\"T_5031d_row25_col2\" class=\"data row25 col2\" >311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_5031d_row26_col0\" class=\"data row26 col0\" >2.0911</td>\n",
       "      <td id=\"T_5031d_row26_col1\" class=\"data row26 col1\" >0.0248</td>\n",
       "      <td id=\"T_5031d_row26_col2\" class=\"data row26 col2\" >307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row27\" class=\"row_heading level0 row27\" >(1.52e+03, 1.59e+03]</th>\n",
       "      <td id=\"T_5031d_row27_col0\" class=\"data row27 col0\" >2.1322</td>\n",
       "      <td id=\"T_5031d_row27_col1\" class=\"data row27 col1\" >0.0254</td>\n",
       "      <td id=\"T_5031d_row27_col2\" class=\"data row27 col2\" >315</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row28\" class=\"row_heading level0 row28\" >(1.59e+03, 1.66e+03]</th>\n",
       "      <td id=\"T_5031d_row28_col0\" class=\"data row28 col0\" >1.9949</td>\n",
       "      <td id=\"T_5031d_row28_col1\" class=\"data row28 col1\" >0.0246</td>\n",
       "      <td id=\"T_5031d_row28_col2\" class=\"data row28 col2\" >305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_5031d_row29_col0\" class=\"data row29 col0\" >2.0233</td>\n",
       "      <td id=\"T_5031d_row29_col1\" class=\"data row29 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row29_col2\" class=\"data row29 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row30\" class=\"row_heading level0 row30\" >(1.73e+03, 1.82e+03]</th>\n",
       "      <td id=\"T_5031d_row30_col0\" class=\"data row30 col0\" >1.8946</td>\n",
       "      <td id=\"T_5031d_row30_col1\" class=\"data row30 col1\" >0.0253</td>\n",
       "      <td id=\"T_5031d_row30_col2\" class=\"data row30 col2\" >313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row31\" class=\"row_heading level0 row31\" >(1.82e+03, 1.91e+03]</th>\n",
       "      <td id=\"T_5031d_row31_col0\" class=\"data row31 col0\" >1.9504</td>\n",
       "      <td id=\"T_5031d_row31_col1\" class=\"data row31 col1\" >0.0247</td>\n",
       "      <td id=\"T_5031d_row31_col2\" class=\"data row31 col2\" >306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row32\" class=\"row_heading level0 row32\" >(1.91e+03, 2.02e+03]</th>\n",
       "      <td id=\"T_5031d_row32_col0\" class=\"data row32 col0\" >2.0074</td>\n",
       "      <td id=\"T_5031d_row32_col1\" class=\"data row32 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row32_col2\" class=\"data row32 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row33\" class=\"row_heading level0 row33\" >(2.02e+03, 2.16e+03]</th>\n",
       "      <td id=\"T_5031d_row33_col0\" class=\"data row33 col0\" >2.0213</td>\n",
       "      <td id=\"T_5031d_row33_col1\" class=\"data row33 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row33_col2\" class=\"data row33 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row34\" class=\"row_heading level0 row34\" >(2.16e+03, 2.32e+03]</th>\n",
       "      <td id=\"T_5031d_row34_col0\" class=\"data row34 col0\" >2.0541</td>\n",
       "      <td id=\"T_5031d_row34_col1\" class=\"data row34 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row34_col2\" class=\"data row34 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row35\" class=\"row_heading level0 row35\" >(2.32e+03, 2.56e+03]</th>\n",
       "      <td id=\"T_5031d_row35_col0\" class=\"data row35 col0\" >2.0757</td>\n",
       "      <td id=\"T_5031d_row35_col1\" class=\"data row35 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row35_col2\" class=\"data row35 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row36\" class=\"row_heading level0 row36\" >(2.56e+03, 2.86e+03]</th>\n",
       "      <td id=\"T_5031d_row36_col0\" class=\"data row36 col0\" >2.0142</td>\n",
       "      <td id=\"T_5031d_row36_col1\" class=\"data row36 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row36_col2\" class=\"data row36 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row37\" class=\"row_heading level0 row37\" >(2.86e+03, 3.28e+03]</th>\n",
       "      <td id=\"T_5031d_row37_col0\" class=\"data row37 col0\" >1.9196</td>\n",
       "      <td id=\"T_5031d_row37_col1\" class=\"data row37 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row37_col2\" class=\"data row37 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row38\" class=\"row_heading level0 row38\" >(3.28e+03, 4.25e+03]</th>\n",
       "      <td id=\"T_5031d_row38_col0\" class=\"data row38 col0\" >2.0439</td>\n",
       "      <td id=\"T_5031d_row38_col1\" class=\"data row38 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row38_col2\" class=\"data row38 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_5031d_level0_row39\" class=\"row_heading level0 row39\" >(4.25e+03, inf)</th>\n",
       "      <td id=\"T_5031d_row39_col0\" class=\"data row39 col0\" >2.0010</td>\n",
       "      <td id=\"T_5031d_row39_col1\" class=\"data row39 col1\" >0.0250</td>\n",
       "      <td id=\"T_5031d_row39_col2\" class=\"data row39 col2\" >310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "#T_5a26f_row0_col1, #T_5a26f_row4_col1, #T_5a26f_row36_col1 {\n",
       "  background-color: #f49a7b;\n",
       "  color: #000000;\n",
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       "  background-color: #f4987a;\n",
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       "#T_5a26f_row1_col0 {\n",
       "  background-color: #455cce;\n",
       "  color: #f1f1f1;\n",
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       "#T_5a26f_row1_col1, #T_5a26f_row1_col2, #T_5a26f_row2_col1, #T_5a26f_row2_col2, #T_5a26f_row19_col1, #T_5a26f_row19_col2 {\n",
       "  background-color: #f18f71;\n",
       "  color: #f1f1f1;\n",
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       "#T_5a26f_row2_col0 {\n",
       "  background-color: #f7a98b;\n",
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       "#T_5a26f_row3_col0 {\n",
       "  background-color: #d55042;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #f6a385;\n",
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       "#T_5a26f_row4_col0 {\n",
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       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
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       "  background-color: #f7ac8e;\n",
       "  color: #000000;\n",
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       "  background-color: #cf453c;\n",
       "  color: #f1f1f1;\n",
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       "#T_5a26f_row10_col0 {\n",
       "  background-color: #ecd3c5;\n",
       "  color: #000000;\n",
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       "  background-color: #ef886b;\n",
       "  color: #f1f1f1;\n",
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       "  background-color: #cfdaea;\n",
       "  color: #000000;\n",
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       "#T_5a26f_row12_col0 {\n",
       "  background-color: #dedcdb;\n",
       "  color: #000000;\n",
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       "#T_5a26f_row12_col1, #T_5a26f_row12_col2 {\n",
       "  background-color: #84a7fc;\n",
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       "#T_5a26f_row13_col0 {\n",
       "  background-color: #f6a283;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row13_col1, #T_5a26f_row13_col2, #T_5a26f_row15_col1, #T_5a26f_row15_col2, #T_5a26f_row33_col1, #T_5a26f_row33_col2 {\n",
       "  background-color: #e3d9d3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row14_col0 {\n",
       "  background-color: #e9d5cb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row15_col0, #T_5a26f_row29_col0 {\n",
       "  background-color: #d9dce1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row16_col0, #T_5a26f_row34_col2 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row16_col1, #T_5a26f_row16_col2 {\n",
       "  background-color: #f2cbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row17_col0 {\n",
       "  background-color: #f4c5ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row18_col0 {\n",
       "  background-color: #b6cefa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row18_col1, #T_5a26f_row18_col2, #T_5a26f_row39_col0 {\n",
       "  background-color: #d6dce4;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row19_col0 {\n",
       "  background-color: #f7b396;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row20_col0 {\n",
       "  background-color: #f5c0a7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row20_col1, #T_5a26f_row20_col2 {\n",
       "  background-color: #afcafc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row21_col0, #T_5a26f_row31_col0 {\n",
       "  background-color: #aec9fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row21_col1, #T_5a26f_row21_col2 {\n",
       "  background-color: #eed0c0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row22_col0 {\n",
       "  background-color: #f7b99e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row22_col1, #T_5a26f_row22_col2, #T_5a26f_row24_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row23_col0 {\n",
       "  background-color: #b3cdfb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row23_col1, #T_5a26f_row24_col1 {\n",
       "  background-color: #dcdddd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row23_col2, #T_5a26f_row24_col2 {\n",
       "  background-color: #dddcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row25_col0 {\n",
       "  background-color: #f7a889;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row26_col0, #T_5a26f_row39_col1, #T_5a26f_row39_col2 {\n",
       "  background-color: #9ebeff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row27_col0 {\n",
       "  background-color: #a2c1ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row27_col1, #T_5a26f_row27_col2, #T_5a26f_row38_col1, #T_5a26f_row38_col2 {\n",
       "  background-color: #f7b599;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row28_col0 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row28_col1, #T_5a26f_row28_col2 {\n",
       "  background-color: #ee8468;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row29_col1, #T_5a26f_row29_col2 {\n",
       "  background-color: #a7c5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row30_col0 {\n",
       "  background-color: #f7b093;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row30_col1, #T_5a26f_row30_col2 {\n",
       "  background-color: #6a8bef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row31_col1, #T_5a26f_row31_col2 {\n",
       "  background-color: #516ddb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row32_col0 {\n",
       "  background-color: #688aef;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row33_col0 {\n",
       "  background-color: #82a6fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row34_col0 {\n",
       "  background-color: #f0cdbb;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row34_col1 {\n",
       "  background-color: #b7cff9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row35_col0 {\n",
       "  background-color: #4257c9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_5a26f_row36_col0 {\n",
       "  background-color: #c4d5f3;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row37_col0 {\n",
       "  background-color: #d1dae9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_5a26f_row37_col1, #T_5a26f_row37_col2 {\n",
       "  background-color: #4961d2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_5a26f\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_5a26f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_5a26f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_5a26f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row0_col0\" class=\"data row0 col0\" >1.9895</td>\n",
       "      <td id=\"T_5a26f_row0_col1\" class=\"data row0 col1\" >0.0269</td>\n",
       "      <td id=\"T_5a26f_row0_col2\" class=\"data row0 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row1_col0\" class=\"data row1 col0\" >1.8189</td>\n",
       "      <td id=\"T_5a26f_row1_col1\" class=\"data row1 col1\" >0.0271</td>\n",
       "      <td id=\"T_5a26f_row1_col2\" class=\"data row1 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row2_col0\" class=\"data row2 col0\" >2.1479</td>\n",
       "      <td id=\"T_5a26f_row2_col1\" class=\"data row2 col1\" >0.0271</td>\n",
       "      <td id=\"T_5a26f_row2_col2\" class=\"data row2 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row3_col0\" class=\"data row3 col0\" >2.2434</td>\n",
       "      <td id=\"T_5a26f_row3_col1\" class=\"data row3 col1\" >0.0266</td>\n",
       "      <td id=\"T_5a26f_row3_col2\" class=\"data row3 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row4_col0\" class=\"data row4 col0\" >2.1281</td>\n",
       "      <td id=\"T_5a26f_row4_col1\" class=\"data row4 col1\" >0.0269</td>\n",
       "      <td id=\"T_5a26f_row4_col2\" class=\"data row4 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row5_col0\" class=\"data row5 col0\" >2.2908</td>\n",
       "      <td id=\"T_5a26f_row5_col1\" class=\"data row5 col1\" >0.0257</td>\n",
       "      <td id=\"T_5a26f_row5_col2\" class=\"data row5 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row6_col0\" class=\"data row6 col0\" >2.0926</td>\n",
       "      <td id=\"T_5a26f_row6_col1\" class=\"data row6 col1\" >0.0283</td>\n",
       "      <td id=\"T_5a26f_row6_col2\" class=\"data row6 col2\" >117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row7_col0\" class=\"data row7 col0\" >2.1757</td>\n",
       "      <td id=\"T_5a26f_row7_col1\" class=\"data row7 col1\" >0.0213</td>\n",
       "      <td id=\"T_5a26f_row7_col2\" class=\"data row7 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row8_col0\" class=\"data row8 col0\" >2.2182</td>\n",
       "      <td id=\"T_5a26f_row8_col1\" class=\"data row8 col1\" >0.0259</td>\n",
       "      <td id=\"T_5a26f_row8_col2\" class=\"data row8 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row9_col0\" class=\"data row9 col0\" >2.1433</td>\n",
       "      <td id=\"T_5a26f_row9_col1\" class=\"data row9 col1\" >0.0286</td>\n",
       "      <td id=\"T_5a26f_row9_col2\" class=\"data row9 col2\" >118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row10_col0\" class=\"data row10 col0\" >2.0769</td>\n",
       "      <td id=\"T_5a26f_row10_col1\" class=\"data row10 col1\" >0.0293</td>\n",
       "      <td id=\"T_5a26f_row10_col2\" class=\"data row10 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row11_col0\" class=\"data row11 col0\" >2.1889</td>\n",
       "      <td id=\"T_5a26f_row11_col1\" class=\"data row11 col1\" >0.0240</td>\n",
       "      <td id=\"T_5a26f_row11_col2\" class=\"data row11 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row12_col0\" class=\"data row12 col0\" >2.0488</td>\n",
       "      <td id=\"T_5a26f_row12_col1\" class=\"data row12 col1\" >0.0218</td>\n",
       "      <td id=\"T_5a26f_row12_col2\" class=\"data row12 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row13_col0\" class=\"data row13 col0\" >2.1585</td>\n",
       "      <td id=\"T_5a26f_row13_col1\" class=\"data row13 col1\" >0.0247</td>\n",
       "      <td id=\"T_5a26f_row13_col2\" class=\"data row13 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row14_col0\" class=\"data row14 col0\" >2.0699</td>\n",
       "      <td id=\"T_5a26f_row14_col1\" class=\"data row14 col1\" >0.0259</td>\n",
       "      <td id=\"T_5a26f_row14_col2\" class=\"data row14 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row15_col0\" class=\"data row15 col0\" >2.0396</td>\n",
       "      <td id=\"T_5a26f_row15_col1\" class=\"data row15 col1\" >0.0247</td>\n",
       "      <td id=\"T_5a26f_row15_col2\" class=\"data row15 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row16_col0\" class=\"data row16 col0\" >1.9843</td>\n",
       "      <td id=\"T_5a26f_row16_col1\" class=\"data row16 col1\" >0.0254</td>\n",
       "      <td id=\"T_5a26f_row16_col2\" class=\"data row16 col2\" >105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row17_col0\" class=\"data row17 col0\" >2.1062</td>\n",
       "      <td id=\"T_5a26f_row17_col1\" class=\"data row17 col1\" >0.0213</td>\n",
       "      <td id=\"T_5a26f_row17_col2\" class=\"data row17 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row18_col0\" class=\"data row18 col0\" >1.9823</td>\n",
       "      <td id=\"T_5a26f_row18_col1\" class=\"data row18 col1\" >0.0242</td>\n",
       "      <td id=\"T_5a26f_row18_col2\" class=\"data row18 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row19_col0\" class=\"data row19 col0\" >2.1353</td>\n",
       "      <td id=\"T_5a26f_row19_col1\" class=\"data row19 col1\" >0.0271</td>\n",
       "      <td id=\"T_5a26f_row19_col2\" class=\"data row19 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row20_col0\" class=\"data row20 col0\" >2.1132</td>\n",
       "      <td id=\"T_5a26f_row20_col1\" class=\"data row20 col1\" >0.0230</td>\n",
       "      <td id=\"T_5a26f_row20_col2\" class=\"data row20 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row21_col0\" class=\"data row21 col0\" >1.9696</td>\n",
       "      <td id=\"T_5a26f_row21_col1\" class=\"data row21 col1\" >0.0252</td>\n",
       "      <td id=\"T_5a26f_row21_col2\" class=\"data row21 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row22_col0\" class=\"data row22 col0\" >2.1243</td>\n",
       "      <td id=\"T_5a26f_row22_col1\" class=\"data row22 col1\" >0.0196</td>\n",
       "      <td id=\"T_5a26f_row22_col2\" class=\"data row22 col2\" >81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row23_col0\" class=\"data row23 col0\" >1.9774</td>\n",
       "      <td id=\"T_5a26f_row23_col1\" class=\"data row23 col1\" >0.0245</td>\n",
       "      <td id=\"T_5a26f_row23_col2\" class=\"data row23 col2\" >101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row24_col0\" class=\"data row24 col0\" >1.8002</td>\n",
       "      <td id=\"T_5a26f_row24_col1\" class=\"data row24 col1\" >0.0245</td>\n",
       "      <td id=\"T_5a26f_row24_col2\" class=\"data row24 col2\" >101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row25_col0\" class=\"data row25 col0\" >2.1500</td>\n",
       "      <td id=\"T_5a26f_row25_col1\" class=\"data row25 col1\" >0.0264</td>\n",
       "      <td id=\"T_5a26f_row25_col2\" class=\"data row25 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row26_col0\" class=\"data row26 col0\" >1.9471</td>\n",
       "      <td id=\"T_5a26f_row26_col1\" class=\"data row26 col1\" >0.0293</td>\n",
       "      <td id=\"T_5a26f_row26_col2\" class=\"data row26 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row27_col0\" class=\"data row27 col0\" >1.9535</td>\n",
       "      <td id=\"T_5a26f_row27_col1\" class=\"data row27 col1\" >0.0262</td>\n",
       "      <td id=\"T_5a26f_row27_col2\" class=\"data row27 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row28_col0\" class=\"data row28 col0\" >2.0915</td>\n",
       "      <td id=\"T_5a26f_row28_col1\" class=\"data row28 col1\" >0.0274</td>\n",
       "      <td id=\"T_5a26f_row28_col2\" class=\"data row28 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row29_col0\" class=\"data row29 col0\" >2.0390</td>\n",
       "      <td id=\"T_5a26f_row29_col1\" class=\"data row29 col1\" >0.0228</td>\n",
       "      <td id=\"T_5a26f_row29_col2\" class=\"data row29 col2\" >94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row30_col0\" class=\"data row30 col0\" >2.1380</td>\n",
       "      <td id=\"T_5a26f_row30_col1\" class=\"data row30 col1\" >0.0211</td>\n",
       "      <td id=\"T_5a26f_row30_col2\" class=\"data row30 col2\" >87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row31_col0\" class=\"data row31 col0\" >1.9706</td>\n",
       "      <td id=\"T_5a26f_row31_col1\" class=\"data row31 col1\" >0.0203</td>\n",
       "      <td id=\"T_5a26f_row31_col2\" class=\"data row31 col2\" >84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row32_col0\" class=\"data row32 col0\" >1.8717</td>\n",
       "      <td id=\"T_5a26f_row32_col1\" class=\"data row32 col1\" >0.0264</td>\n",
       "      <td id=\"T_5a26f_row32_col2\" class=\"data row32 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row33_col0\" class=\"data row33 col0\" >1.9082</td>\n",
       "      <td id=\"T_5a26f_row33_col1\" class=\"data row33 col1\" >0.0247</td>\n",
       "      <td id=\"T_5a26f_row33_col2\" class=\"data row33 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row34_col0\" class=\"data row34 col0\" >2.0895</td>\n",
       "      <td id=\"T_5a26f_row34_col1\" class=\"data row34 col1\" >0.0233</td>\n",
       "      <td id=\"T_5a26f_row34_col2\" class=\"data row34 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row35_col0\" class=\"data row35 col0\" >1.8131</td>\n",
       "      <td id=\"T_5a26f_row35_col1\" class=\"data row35 col1\" >0.0266</td>\n",
       "      <td id=\"T_5a26f_row35_col2\" class=\"data row35 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row36_col0\" class=\"data row36 col0\" >2.0019</td>\n",
       "      <td id=\"T_5a26f_row36_col1\" class=\"data row36 col1\" >0.0269</td>\n",
       "      <td id=\"T_5a26f_row36_col2\" class=\"data row36 col2\" >111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row37_col0\" class=\"data row37 col0\" >2.0234</td>\n",
       "      <td id=\"T_5a26f_row37_col1\" class=\"data row37 col1\" >0.0201</td>\n",
       "      <td id=\"T_5a26f_row37_col2\" class=\"data row37 col2\" >83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row38_col0\" class=\"data row38 col0\" >2.1558</td>\n",
       "      <td id=\"T_5a26f_row38_col1\" class=\"data row38 col1\" >0.0262</td>\n",
       "      <td id=\"T_5a26f_row38_col2\" class=\"data row38 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_5a26f_row39_col0\" class=\"data row39 col0\" >2.0339</td>\n",
       "      <td id=\"T_5a26f_row39_col1\" class=\"data row39 col1\" >0.0225</td>\n",
       "      <td id=\"T_5a26f_row39_col2\" class=\"data row39 col2\" >93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('AveOccup') (6/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
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       "      <td id=\"T_9ef76_row6_col2\" class=\"data row6 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row7_col0\" class=\"data row7 col0\" >2.2507</td>\n",
       "      <td id=\"T_9ef76_row7_col1\" class=\"data row7 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row7_col2\" class=\"data row7 col2\" >309</td>\n",
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       "      <td id=\"T_9ef76_row8_col1\" class=\"data row8 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row8_col2\" class=\"data row8 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9ef76_level0_row9\" class=\"row_heading level0 row9\" >(2.388e+00, 2.435e+00]</th>\n",
       "      <td id=\"T_9ef76_row9_col0\" class=\"data row9 col0\" >2.2708</td>\n",
       "      <td id=\"T_9ef76_row9_col1\" class=\"data row9 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row9_col2\" class=\"data row9 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9ef76_level0_row10\" class=\"row_heading level0 row10\" >(2.435e+00, 2.475e+00]</th>\n",
       "      <td id=\"T_9ef76_row10_col0\" class=\"data row10 col0\" >2.1989</td>\n",
       "      <td id=\"T_9ef76_row10_col1\" class=\"data row10 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row10_col2\" class=\"data row10 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_9ef76_row11_col0\" class=\"data row11 col0\" >2.1564</td>\n",
       "      <td id=\"T_9ef76_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row11_col2\" class=\"data row11 col2\" >309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_9ef76_row12_col0\" class=\"data row12 col0\" >2.1279</td>\n",
       "      <td id=\"T_9ef76_row12_col1\" class=\"data row12 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row12_col2\" class=\"data row12 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_9ef76_level0_row13\" class=\"row_heading level0 row13\" >(2.557e+00, 2.598e+00]</th>\n",
       "      <td id=\"T_9ef76_row13_col0\" class=\"data row13 col0\" >2.2428</td>\n",
       "      <td id=\"T_9ef76_row13_col1\" class=\"data row13 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row13_col2\" class=\"data row13 col2\" >310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_9ef76_row14_col0\" class=\"data row14 col0\" >2.1116</td>\n",
       "      <td id=\"T_9ef76_row14_col1\" class=\"data row14 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row14_col2\" class=\"data row14 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row15_col0\" class=\"data row15 col0\" >2.2343</td>\n",
       "      <td id=\"T_9ef76_row15_col1\" class=\"data row15 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row15_col2\" class=\"data row15 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row16_col0\" class=\"data row16 col0\" >2.0489</td>\n",
       "      <td id=\"T_9ef76_row16_col1\" class=\"data row16 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row16_col2\" class=\"data row16 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row17_col0\" class=\"data row17 col0\" >2.2196</td>\n",
       "      <td id=\"T_9ef76_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row17_col2\" class=\"data row17 col2\" >310</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_9ef76_level0_row18\" class=\"row_heading level0 row18\" >(2.746e+00, 2.784e+00]</th>\n",
       "      <td id=\"T_9ef76_row18_col0\" class=\"data row18 col0\" >2.1211</td>\n",
       "      <td id=\"T_9ef76_row18_col1\" class=\"data row18 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row18_col2\" class=\"data row18 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row19_col0\" class=\"data row19 col0\" >2.2645</td>\n",
       "      <td id=\"T_9ef76_row19_col1\" class=\"data row19 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row19_col2\" class=\"data row19 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row20_col0\" class=\"data row20 col0\" >2.1565</td>\n",
       "      <td id=\"T_9ef76_row20_col1\" class=\"data row20 col1\" >0.0251</td>\n",
       "      <td id=\"T_9ef76_row20_col2\" class=\"data row20 col2\" >311</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row21_col0\" class=\"data row21 col0\" >2.2323</td>\n",
       "      <td id=\"T_9ef76_row21_col1\" class=\"data row21 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row21_col2\" class=\"data row21 col2\" >309</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_9ef76_level0_row22\" class=\"row_heading level0 row22\" >(2.899e+00, 2.943e+00]</th>\n",
       "      <td id=\"T_9ef76_row22_col0\" class=\"data row22 col0\" >2.0714</td>\n",
       "      <td id=\"T_9ef76_row22_col1\" class=\"data row22 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row22_col2\" class=\"data row22 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row23_col0\" class=\"data row23 col0\" >2.0495</td>\n",
       "      <td id=\"T_9ef76_row23_col1\" class=\"data row23 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row23_col2\" class=\"data row23 col2\" >309</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row24_col0\" class=\"data row24 col0\" >1.9917</td>\n",
       "      <td id=\"T_9ef76_row24_col1\" class=\"data row24 col1\" >0.0250</td>\n",
       "      <td id=\"T_9ef76_row24_col2\" class=\"data row24 col2\" >310</td>\n",
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       "      <td id=\"T_9ef76_row25_col0\" class=\"data row25 col0\" >1.9623</td>\n",
       "      <td id=\"T_9ef76_row25_col1\" class=\"data row25 col1\" >0.0250</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row30_col0\" class=\"data row30 col0\" >1.8804</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row31_col0\" class=\"data row31 col0\" >1.8724</td>\n",
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       "      <td id=\"T_9ef76_row31_col2\" class=\"data row31 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row34_col2\" class=\"data row34 col2\" >310</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row36_col2\" class=\"data row36 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row37_col0\" class=\"data row37 col0\" >1.4240</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_9ef76_row39_col2\" class=\"data row39 col2\" >310</td>\n",
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       "  background-color: #f6bda2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row13_col0 {\n",
       "  background-color: #dddcdc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row14_col0, #T_9039b_row19_col0 {\n",
       "  background-color: #cdd9ec;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row15_col0, #T_9039b_row26_col0 {\n",
       "  background-color: #dadce0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row15_col1, #T_9039b_row15_col2, #T_9039b_row27_col0 {\n",
       "  background-color: #a7c5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row16_col0 {\n",
       "  background-color: #f4c5ad;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row17_col0 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row17_col1, #T_9039b_row17_col2 {\n",
       "  background-color: #81a4fb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row18_col0, #T_9039b_row23_col0 {\n",
       "  background-color: #f2cbb7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row19_col1, #T_9039b_row19_col2, #T_9039b_row21_col1, #T_9039b_row21_col2 {\n",
       "  background-color: #bed2f6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row21_col0, #T_9039b_row23_col1, #T_9039b_row23_col2 {\n",
       "  background-color: #afcafc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row22_col0 {\n",
       "  background-color: #c7d7f0;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row22_col1, #T_9039b_row22_col2, #T_9039b_row35_col1, #T_9039b_row35_col2 {\n",
       "  background-color: #e8d6cc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row24_col0 {\n",
       "  background-color: #dbdcde;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row24_col1, #T_9039b_row24_col2 {\n",
       "  background-color: #d24b40;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row25_col0 {\n",
       "  background-color: #c5d6f2;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row25_col1, #T_9039b_row25_col2 {\n",
       "  background-color: #9fbfff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row26_col1, #T_9039b_row26_col2 {\n",
       "  background-color: #ed8366;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row27_col1, #T_9039b_row27_col2 {\n",
       "  background-color: #6384eb;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row28_col0 {\n",
       "  background-color: #c0d4f5;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row28_col1, #T_9039b_row28_col2, #T_9039b_row36_col0 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row29_col0 {\n",
       "  background-color: #85a8fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row30_col0 {\n",
       "  background-color: #93b5fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row31_col0 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row31_col1, #T_9039b_row31_col2 {\n",
       "  background-color: #f39577;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row32_col0 {\n",
       "  background-color: #7093f3;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row33_col0 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row34_col0 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row34_col1, #T_9039b_row34_col2 {\n",
       "  background-color: #f59d7e;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_9039b_row35_col0 {\n",
       "  background-color: #5a78e4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row37_col0 {\n",
       "  background-color: #5572df;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row38_col0 {\n",
       "  background-color: #3c4ec2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row39_col0 {\n",
       "  background-color: #5b7ae5;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_9039b_row39_col1, #T_9039b_row39_col2 {\n",
       "  background-color: #f7ad90;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_9039b\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_9039b_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_9039b_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_9039b_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row0_col0\" class=\"data row0 col0\" >2.7524</td>\n",
       "      <td id=\"T_9039b_row0_col1\" class=\"data row0 col1\" >0.0220</td>\n",
       "      <td id=\"T_9039b_row0_col2\" class=\"data row0 col2\" >91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row1_col0\" class=\"data row1 col0\" >2.7763</td>\n",
       "      <td id=\"T_9039b_row1_col1\" class=\"data row1 col1\" >0.0293</td>\n",
       "      <td id=\"T_9039b_row1_col2\" class=\"data row1 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row2_col0\" class=\"data row2 col0\" >2.6502</td>\n",
       "      <td id=\"T_9039b_row2_col1\" class=\"data row2 col1\" >0.0257</td>\n",
       "      <td id=\"T_9039b_row2_col2\" class=\"data row2 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row3_col0\" class=\"data row3 col0\" >2.5990</td>\n",
       "      <td id=\"T_9039b_row3_col1\" class=\"data row3 col1\" >0.0242</td>\n",
       "      <td id=\"T_9039b_row3_col2\" class=\"data row3 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row4_col0\" class=\"data row4 col0\" >2.4828</td>\n",
       "      <td id=\"T_9039b_row4_col1\" class=\"data row4 col1\" >0.0296</td>\n",
       "      <td id=\"T_9039b_row4_col2\" class=\"data row4 col2\" >122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row5_col0\" class=\"data row5 col0\" >2.4039</td>\n",
       "      <td id=\"T_9039b_row5_col1\" class=\"data row5 col1\" >0.0247</td>\n",
       "      <td id=\"T_9039b_row5_col2\" class=\"data row5 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row6_col0\" class=\"data row6 col0\" >2.2567</td>\n",
       "      <td id=\"T_9039b_row6_col1\" class=\"data row6 col1\" >0.0281</td>\n",
       "      <td id=\"T_9039b_row6_col2\" class=\"data row6 col2\" >116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row7_col0\" class=\"data row7 col0\" >2.4137</td>\n",
       "      <td id=\"T_9039b_row7_col1\" class=\"data row7 col1\" >0.0230</td>\n",
       "      <td id=\"T_9039b_row7_col2\" class=\"data row7 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row8_col0\" class=\"data row8 col0\" >2.3471</td>\n",
       "      <td id=\"T_9039b_row8_col1\" class=\"data row8 col1\" >0.0211</td>\n",
       "      <td id=\"T_9039b_row8_col2\" class=\"data row8 col2\" >87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row9_col0\" class=\"data row9 col0\" >2.2425</td>\n",
       "      <td id=\"T_9039b_row9_col1\" class=\"data row9 col1\" >0.0300</td>\n",
       "      <td id=\"T_9039b_row9_col2\" class=\"data row9 col2\" >124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row10_col0\" class=\"data row10 col0\" >2.0911</td>\n",
       "      <td id=\"T_9039b_row10_col1\" class=\"data row10 col1\" >0.0252</td>\n",
       "      <td id=\"T_9039b_row10_col2\" class=\"data row10 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row11_col0\" class=\"data row11 col0\" >2.2072</td>\n",
       "      <td id=\"T_9039b_row11_col1\" class=\"data row11 col1\" >0.0259</td>\n",
       "      <td id=\"T_9039b_row11_col2\" class=\"data row11 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row12_col0\" class=\"data row12 col0\" >2.1370</td>\n",
       "      <td id=\"T_9039b_row12_col1\" class=\"data row12 col1\" >0.0262</td>\n",
       "      <td id=\"T_9039b_row12_col2\" class=\"data row12 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row13_col0\" class=\"data row13 col0\" >2.0973</td>\n",
       "      <td id=\"T_9039b_row13_col1\" class=\"data row13 col1\" >0.0281</td>\n",
       "      <td id=\"T_9039b_row13_col2\" class=\"data row13 col2\" >116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row14_col0\" class=\"data row14 col0\" >2.0188</td>\n",
       "      <td id=\"T_9039b_row14_col1\" class=\"data row14 col1\" >0.0230</td>\n",
       "      <td id=\"T_9039b_row14_col2\" class=\"data row14 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row15_col0\" class=\"data row15 col0\" >2.0825</td>\n",
       "      <td id=\"T_9039b_row15_col1\" class=\"data row15 col1\" >0.0225</td>\n",
       "      <td id=\"T_9039b_row15_col2\" class=\"data row15 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row16_col0\" class=\"data row16 col0\" >2.2615</td>\n",
       "      <td id=\"T_9039b_row16_col1\" class=\"data row16 col1\" >0.0247</td>\n",
       "      <td id=\"T_9039b_row16_col2\" class=\"data row16 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row17_col0\" class=\"data row17 col0\" >2.0114</td>\n",
       "      <td id=\"T_9039b_row17_col1\" class=\"data row17 col1\" >0.0213</td>\n",
       "      <td id=\"T_9039b_row17_col2\" class=\"data row17 col2\" >88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row18_col0\" class=\"data row18 col0\" >2.2314</td>\n",
       "      <td id=\"T_9039b_row18_col1\" class=\"data row18 col1\" >0.0257</td>\n",
       "      <td id=\"T_9039b_row18_col2\" class=\"data row18 col2\" >106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row19_col0\" class=\"data row19 col0\" >2.0203</td>\n",
       "      <td id=\"T_9039b_row19_col1\" class=\"data row19 col1\" >0.0233</td>\n",
       "      <td id=\"T_9039b_row19_col2\" class=\"data row19 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row20_col0\" class=\"data row20 col0\" >2.0908</td>\n",
       "      <td id=\"T_9039b_row20_col1\" class=\"data row20 col1\" >0.0286</td>\n",
       "      <td id=\"T_9039b_row20_col2\" class=\"data row20 col2\" >118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row21_col0\" class=\"data row21 col0\" >1.8887</td>\n",
       "      <td id=\"T_9039b_row21_col1\" class=\"data row21 col1\" >0.0233</td>\n",
       "      <td id=\"T_9039b_row21_col2\" class=\"data row21 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row22_col0\" class=\"data row22 col0\" >1.9894</td>\n",
       "      <td id=\"T_9039b_row22_col1\" class=\"data row22 col1\" >0.0250</td>\n",
       "      <td id=\"T_9039b_row22_col2\" class=\"data row22 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row23_col0\" class=\"data row23 col0\" >2.2316</td>\n",
       "      <td id=\"T_9039b_row23_col1\" class=\"data row23 col1\" >0.0228</td>\n",
       "      <td id=\"T_9039b_row23_col2\" class=\"data row23 col2\" >94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row24_col0\" class=\"data row24 col0\" >2.0891</td>\n",
       "      <td id=\"T_9039b_row24_col1\" class=\"data row24 col1\" >0.0291</td>\n",
       "      <td id=\"T_9039b_row24_col2\" class=\"data row24 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row25_col0\" class=\"data row25 col0\" >1.9787</td>\n",
       "      <td id=\"T_9039b_row25_col1\" class=\"data row25 col1\" >0.0223</td>\n",
       "      <td id=\"T_9039b_row25_col2\" class=\"data row25 col2\" >92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row26_col0\" class=\"data row26 col0\" >2.0818</td>\n",
       "      <td id=\"T_9039b_row26_col1\" class=\"data row26 col1\" >0.0279</td>\n",
       "      <td id=\"T_9039b_row26_col2\" class=\"data row26 col2\" >115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row27_col0\" class=\"data row27 col0\" >1.8602</td>\n",
       "      <td id=\"T_9039b_row27_col1\" class=\"data row27 col1\" >0.0203</td>\n",
       "      <td id=\"T_9039b_row27_col2\" class=\"data row27 col2\" >84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row28_col0\" class=\"data row28 col0\" >1.9611</td>\n",
       "      <td id=\"T_9039b_row28_col1\" class=\"data row28 col1\" >0.0189</td>\n",
       "      <td id=\"T_9039b_row28_col2\" class=\"data row28 col2\" >78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row29_col0\" class=\"data row29 col0\" >1.7265</td>\n",
       "      <td id=\"T_9039b_row29_col1\" class=\"data row29 col1\" >0.0230</td>\n",
       "      <td id=\"T_9039b_row29_col2\" class=\"data row29 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row30_col0\" class=\"data row30 col0\" >1.7789</td>\n",
       "      <td id=\"T_9039b_row30_col1\" class=\"data row30 col1\" >0.0259</td>\n",
       "      <td id=\"T_9039b_row30_col2\" class=\"data row30 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row31_col0\" class=\"data row31 col0\" >1.8341</td>\n",
       "      <td id=\"T_9039b_row31_col1\" class=\"data row31 col1\" >0.0274</td>\n",
       "      <td id=\"T_9039b_row31_col2\" class=\"data row31 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row32_col0\" class=\"data row32 col0\" >1.6481</td>\n",
       "      <td id=\"T_9039b_row32_col1\" class=\"data row32 col1\" >0.0211</td>\n",
       "      <td id=\"T_9039b_row32_col2\" class=\"data row32 col2\" >87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row33_col0\" class=\"data row33 col0\" >1.6989</td>\n",
       "      <td id=\"T_9039b_row33_col1\" class=\"data row33 col1\" >0.0247</td>\n",
       "      <td id=\"T_9039b_row33_col2\" class=\"data row33 col2\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row34_col0\" class=\"data row34 col0\" >1.6267</td>\n",
       "      <td id=\"T_9039b_row34_col1\" class=\"data row34 col1\" >0.0271</td>\n",
       "      <td id=\"T_9039b_row34_col2\" class=\"data row34 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row35_col0\" class=\"data row35 col0\" >1.5547</td>\n",
       "      <td id=\"T_9039b_row35_col1\" class=\"data row35 col1\" >0.0250</td>\n",
       "      <td id=\"T_9039b_row35_col2\" class=\"data row35 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row36_col0\" class=\"data row36 col0\" >1.4150</td>\n",
       "      <td id=\"T_9039b_row36_col1\" class=\"data row36 col1\" >0.0293</td>\n",
       "      <td id=\"T_9039b_row36_col2\" class=\"data row36 col2\" >121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row37_col0\" class=\"data row37 col0\" >1.5364</td>\n",
       "      <td id=\"T_9039b_row37_col1\" class=\"data row37 col1\" >0.0220</td>\n",
       "      <td id=\"T_9039b_row37_col2\" class=\"data row37 col2\" >91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row38_col0\" class=\"data row38 col0\" >1.4245</td>\n",
       "      <td id=\"T_9039b_row38_col1\" class=\"data row38 col1\" >0.0262</td>\n",
       "      <td id=\"T_9039b_row38_col2\" class=\"data row38 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_9039b_row39_col0\" class=\"data row39 col0\" >1.5598</td>\n",
       "      <td id=\"T_9039b_row39_col1\" class=\"data row39 col1\" >0.0266</td>\n",
       "      <td id=\"T_9039b_row39_col2\" class=\"data row39 col2\" >110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "      <th class=\"blank level0\" >&nbsp;</th>\n",
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       "      <td id=\"T_45827_row0_col1\" class=\"data row0 col1\" >0.1250</td>\n",
       "      <td id=\"T_45827_row0_col2\" class=\"data row0 col2\" >1548</td>\n",
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       "      <th id=\"T_45827_level0_row1\" class=\"row_heading level0 row1\" >(2.16e+00, 2.90e+00]</th>\n",
       "      <td id=\"T_45827_row1_col0\" class=\"data row1 col0\" >2.2005</td>\n",
       "      <td id=\"T_45827_row1_col1\" class=\"data row1 col1\" >0.4251</td>\n",
       "      <td id=\"T_45827_row1_col2\" class=\"data row1 col2\" >5264</td>\n",
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       "      <td id=\"T_45827_row2_col1\" class=\"data row2 col1\" >0.2749</td>\n",
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       "      <td id=\"T_45827_row3_col2\" class=\"data row3 col2\" >929</td>\n",
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       "      <td id=\"T_45827_row4_col1\" class=\"data row4 col1\" >0.1000</td>\n",
       "      <td id=\"T_45827_row4_col2\" class=\"data row4 col2\" >1239</td>\n",
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       "  <caption>X_dev distribution</caption>\n",
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       "      <th id=\"T_3a44f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_3a44f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_3a44f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_3a44f_row0_col0\" class=\"data row0 col0\" >2.6484</td>\n",
       "      <td id=\"T_3a44f_row0_col1\" class=\"data row0 col1\" >0.1308</td>\n",
       "      <td id=\"T_3a44f_row0_col2\" class=\"data row0 col2\" >540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_3a44f_row1_col0\" class=\"data row1 col0\" >2.1665</td>\n",
       "      <td id=\"T_3a44f_row1_col1\" class=\"data row1 col1\" >0.4247</td>\n",
       "      <td id=\"T_3a44f_row1_col2\" class=\"data row1 col2\" >1753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_3a44f_row2_col0\" class=\"data row2 col0\" >1.9311</td>\n",
       "      <td id=\"T_3a44f_row2_col1\" class=\"data row2 col1\" >0.2636</td>\n",
       "      <td id=\"T_3a44f_row2_col2\" class=\"data row2 col2\" >1088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_3a44f_row3_col0\" class=\"data row3 col0\" >1.6265</td>\n",
       "      <td id=\"T_3a44f_row3_col1\" class=\"data row3 col1\" >0.0768</td>\n",
       "      <td id=\"T_3a44f_row3_col2\" class=\"data row3 col2\" >317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_3a44f_row4_col0\" class=\"data row4 col0\" >1.4801</td>\n",
       "      <td id=\"T_3a44f_row4_col1\" class=\"data row4 col1\" >0.1042</td>\n",
       "      <td id=\"T_3a44f_row4_col2\" class=\"data row4 col2\" >430</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('Latitude') (7/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
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       "      <td id=\"T_86b52_row2_col1\" class=\"data row2 col1\" >0.0279</td>\n",
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       "      <td id=\"T_86b52_row3_col1\" class=\"data row3 col1\" >0.0268</td>\n",
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       "      <td id=\"T_86b52_row4_col1\" class=\"data row4 col1\" >0.0262</td>\n",
       "      <td id=\"T_86b52_row4_col2\" class=\"data row4 col2\" >325</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row5_col0\" class=\"data row5 col0\" >2.4232</td>\n",
       "      <td id=\"T_86b52_row5_col1\" class=\"data row5 col1\" >0.0229</td>\n",
       "      <td id=\"T_86b52_row5_col2\" class=\"data row5 col2\" >283</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row6_col0\" class=\"data row6 col0\" >2.3003</td>\n",
       "      <td id=\"T_86b52_row6_col1\" class=\"data row6 col1\" >0.0241</td>\n",
       "      <td id=\"T_86b52_row6_col2\" class=\"data row6 col2\" >299</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row8_col0\" class=\"data row8 col0\" >1.6300</td>\n",
       "      <td id=\"T_86b52_row8_col1\" class=\"data row8 col1\" >0.0242</td>\n",
       "      <td id=\"T_86b52_row8_col2\" class=\"data row8 col2\" >300</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row9_col0\" class=\"data row9 col0\" >1.8594</td>\n",
       "      <td id=\"T_86b52_row9_col1\" class=\"data row9 col1\" >0.0225</td>\n",
       "      <td id=\"T_86b52_row9_col2\" class=\"data row9 col2\" >279</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row10_col0\" class=\"data row10 col0\" >1.9482</td>\n",
       "      <td id=\"T_86b52_row10_col1\" class=\"data row10 col1\" >0.0224</td>\n",
       "      <td id=\"T_86b52_row10_col2\" class=\"data row10 col2\" >278</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row11_col0\" class=\"data row11 col0\" >2.1267</td>\n",
       "      <td id=\"T_86b52_row11_col1\" class=\"data row11 col1\" >0.0277</td>\n",
       "      <td id=\"T_86b52_row11_col2\" class=\"data row11 col2\" >343</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row12_col0\" class=\"data row12 col0\" >2.4021</td>\n",
       "      <td id=\"T_86b52_row12_col1\" class=\"data row12 col1\" >0.0339</td>\n",
       "      <td id=\"T_86b52_row12_col2\" class=\"data row12 col2\" >420</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row13_col0\" class=\"data row13 col0\" >2.1760</td>\n",
       "      <td id=\"T_86b52_row13_col1\" class=\"data row13 col1\" >0.0417</td>\n",
       "      <td id=\"T_86b52_row13_col2\" class=\"data row13 col2\" >516</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row14_col0\" class=\"data row14 col0\" >2.3646</td>\n",
       "      <td id=\"T_86b52_row14_col1\" class=\"data row14 col1\" >0.0242</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row15_col0\" class=\"data row15 col0\" >2.7771</td>\n",
       "      <td id=\"T_86b52_row15_col1\" class=\"data row15 col1\" >0.0301</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row16_col0\" class=\"data row16 col0\" >2.4100</td>\n",
       "      <td id=\"T_86b52_row16_col1\" class=\"data row16 col1\" >0.0435</td>\n",
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       "      <td id=\"T_86b52_row17_col0\" class=\"data row17 col0\" >2.4559</td>\n",
       "      <td id=\"T_86b52_row17_col1\" class=\"data row17 col1\" >0.0240</td>\n",
       "      <td id=\"T_86b52_row17_col2\" class=\"data row17 col2\" >297</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row18_col1\" class=\"data row18 col1\" >0.0246</td>\n",
       "      <td id=\"T_86b52_row18_col2\" class=\"data row18 col2\" >305</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row19_col0\" class=\"data row19 col0\" >0.9208</td>\n",
       "      <td id=\"T_86b52_row19_col1\" class=\"data row19 col1\" >0.0250</td>\n",
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       "      <td id=\"T_86b52_row20_col1\" class=\"data row20 col1\" >0.0262</td>\n",
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       "      <td id=\"T_86b52_row21_col1\" class=\"data row21 col1\" >0.0253</td>\n",
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       "      <td id=\"T_86b52_row23_col1\" class=\"data row23 col1\" >0.0258</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td id=\"T_86b52_row32_col2\" class=\"data row32 col2\" >298</td>\n",
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       "    <tr>\n",
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       "#T_a6639_row18_col1, #T_a6639_row18_col2 {\n",
       "  background-color: #4055c8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row19_col0, #T_a6639_row30_col1, #T_a6639_row30_col2 {\n",
       "  background-color: #445acc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row19_col1, #T_a6639_row19_col2 {\n",
       "  background-color: #4f69d9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row20_col0, #T_a6639_row20_col1, #T_a6639_row20_col2 {\n",
       "  background-color: #7597f6;\n",
       "  color: #f1f1f1;\n",
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       "#T_a6639_row21_col0 {\n",
       "  background-color: #7699f6;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row21_col1, #T_a6639_row21_col2 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row22_col0 {\n",
       "  background-color: #ee8669;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row22_col1, #T_a6639_row22_col2 {\n",
       "  background-color: #6282ea;\n",
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       "#T_a6639_row23_col0 {\n",
       "  background-color: #f08a6c;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row23_col1, #T_a6639_row23_col2 {\n",
       "  background-color: #7b9ff9;\n",
       "  color: #f1f1f1;\n",
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       "#T_a6639_row24_col1 {\n",
       "  background-color: #8caffe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a6639_row24_col2, #T_a6639_row33_col0 {\n",
       "  background-color: #8db0fe;\n",
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       "  background-color: #e57058;\n",
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       "#T_a6639_row25_col1, #T_a6639_row25_col2, #T_a6639_row35_col0 {\n",
       "  background-color: #3b4cc0;\n",
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       "  background-color: #eed0c0;\n",
       "  color: #000000;\n",
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       "#T_a6639_row26_col1, #T_a6639_row26_col2 {\n",
       "  background-color: #4257c9;\n",
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       "#T_a6639_row27_col0 {\n",
       "  background-color: #e9785d;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row27_col1, #T_a6639_row27_col2 {\n",
       "  background-color: #6485ec;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row28_col0 {\n",
       "  background-color: #ec7f63;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row28_col1, #T_a6639_row28_col2 {\n",
       "  background-color: #d65244;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row29_col0 {\n",
       "  background-color: #b9d0f9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a6639_row30_col0 {\n",
       "  background-color: #a1c0ff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a6639_row31_col0 {\n",
       "  background-color: #c6d6f1;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_a6639_row31_col1, #T_a6639_row31_col2, #T_a6639_row35_col1, #T_a6639_row35_col2 {\n",
       "  background-color: #5572df;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row32_col0 {\n",
       "  background-color: #7ea1fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row32_col1, #T_a6639_row32_col2 {\n",
       "  background-color: #3c4ec2;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_a6639_row33_col1, #T_a6639_row33_col2 {\n",
       "  background-color: #88abfd;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_a6639\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_a6639_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_a6639_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_a6639_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row0_col0\" class=\"data row0 col0\" >1.5761</td>\n",
       "      <td id=\"T_a6639_row0_col1\" class=\"data row0 col1\" >0.0320</td>\n",
       "      <td id=\"T_a6639_row0_col2\" class=\"data row0 col2\" >132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row1_col0\" class=\"data row1 col0\" >2.0768</td>\n",
       "      <td id=\"T_a6639_row1_col1\" class=\"data row1 col1\" >0.0552</td>\n",
       "      <td id=\"T_a6639_row1_col2\" class=\"data row1 col2\" >228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row2_col0\" class=\"data row2 col0\" >2.7115</td>\n",
       "      <td id=\"T_a6639_row2_col1\" class=\"data row2 col1\" >0.0264</td>\n",
       "      <td id=\"T_a6639_row2_col2\" class=\"data row2 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row3_col0\" class=\"data row3 col0\" >2.4368</td>\n",
       "      <td id=\"T_a6639_row3_col1\" class=\"data row3 col1\" >0.0262</td>\n",
       "      <td id=\"T_a6639_row3_col2\" class=\"data row3 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row4_col0\" class=\"data row4 col0\" >2.2910</td>\n",
       "      <td id=\"T_a6639_row4_col1\" class=\"data row4 col1\" >0.0291</td>\n",
       "      <td id=\"T_a6639_row4_col2\" class=\"data row4 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row5_col0\" class=\"data row5 col0\" >2.3528</td>\n",
       "      <td id=\"T_a6639_row5_col1\" class=\"data row5 col1\" >0.0220</td>\n",
       "      <td id=\"T_a6639_row5_col2\" class=\"data row5 col2\" >91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row6_col0\" class=\"data row6 col0\" >2.3233</td>\n",
       "      <td id=\"T_a6639_row6_col1\" class=\"data row6 col1\" >0.0233</td>\n",
       "      <td id=\"T_a6639_row6_col2\" class=\"data row6 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row7_col0\" class=\"data row7 col0\" >2.0937</td>\n",
       "      <td id=\"T_a6639_row7_col1\" class=\"data row7 col1\" >0.0368</td>\n",
       "      <td id=\"T_a6639_row7_col2\" class=\"data row7 col2\" >152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row8_col0\" class=\"data row8 col0\" >1.6319</td>\n",
       "      <td id=\"T_a6639_row8_col1\" class=\"data row8 col1\" >0.0230</td>\n",
       "      <td id=\"T_a6639_row8_col2\" class=\"data row8 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row9_col0\" class=\"data row9 col0\" >1.7992</td>\n",
       "      <td id=\"T_a6639_row9_col1\" class=\"data row9 col1\" >0.0235</td>\n",
       "      <td id=\"T_a6639_row9_col2\" class=\"data row9 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row10_col0\" class=\"data row10 col0\" >1.9408</td>\n",
       "      <td id=\"T_a6639_row10_col1\" class=\"data row10 col1\" >0.0250</td>\n",
       "      <td id=\"T_a6639_row10_col2\" class=\"data row10 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row11_col0\" class=\"data row11 col0\" >2.1292</td>\n",
       "      <td id=\"T_a6639_row11_col1\" class=\"data row11 col1\" >0.0250</td>\n",
       "      <td id=\"T_a6639_row11_col2\" class=\"data row11 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row12_col0\" class=\"data row12 col0\" >2.3261</td>\n",
       "      <td id=\"T_a6639_row12_col1\" class=\"data row12 col1\" >0.0334</td>\n",
       "      <td id=\"T_a6639_row12_col2\" class=\"data row12 col2\" >138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row13_col0\" class=\"data row13 col0\" >2.2762</td>\n",
       "      <td id=\"T_a6639_row13_col1\" class=\"data row13 col1\" >0.0443</td>\n",
       "      <td id=\"T_a6639_row13_col2\" class=\"data row13 col2\" >183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row14_col0\" class=\"data row14 col0\" >2.2228</td>\n",
       "      <td id=\"T_a6639_row14_col1\" class=\"data row14 col1\" >0.0216</td>\n",
       "      <td id=\"T_a6639_row14_col2\" class=\"data row14 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row15_col0\" class=\"data row15 col0\" >2.8224</td>\n",
       "      <td id=\"T_a6639_row15_col1\" class=\"data row15 col1\" >0.0303</td>\n",
       "      <td id=\"T_a6639_row15_col2\" class=\"data row15 col2\" >125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row16_col0\" class=\"data row16 col0\" >2.2938</td>\n",
       "      <td id=\"T_a6639_row16_col1\" class=\"data row16 col1\" >0.0465</td>\n",
       "      <td id=\"T_a6639_row16_col2\" class=\"data row16 col2\" >192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row17_col0\" class=\"data row17 col0\" >2.5025</td>\n",
       "      <td id=\"T_a6639_row17_col1\" class=\"data row17 col1\" >0.0252</td>\n",
       "      <td id=\"T_a6639_row17_col2\" class=\"data row17 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row18_col0\" class=\"data row18 col0\" >1.3719</td>\n",
       "      <td id=\"T_a6639_row18_col1\" class=\"data row18 col1\" >0.0201</td>\n",
       "      <td id=\"T_a6639_row18_col2\" class=\"data row18 col2\" >83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row19_col0\" class=\"data row19 col0\" >0.9336</td>\n",
       "      <td id=\"T_a6639_row19_col1\" class=\"data row19 col1\" >0.0218</td>\n",
       "      <td id=\"T_a6639_row19_col2\" class=\"data row19 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row20_col0\" class=\"data row20 col0\" >1.2516</td>\n",
       "      <td id=\"T_a6639_row20_col1\" class=\"data row20 col1\" >0.0259</td>\n",
       "      <td id=\"T_a6639_row20_col2\" class=\"data row20 col2\" >107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row21_col0\" class=\"data row21 col0\" >1.2597</td>\n",
       "      <td id=\"T_a6639_row21_col1\" class=\"data row21 col1\" >0.0274</td>\n",
       "      <td id=\"T_a6639_row21_col2\" class=\"data row21 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row22_col0\" class=\"data row22 col0\" >2.5507</td>\n",
       "      <td id=\"T_a6639_row22_col1\" class=\"data row22 col1\" >0.0240</td>\n",
       "      <td id=\"T_a6639_row22_col2\" class=\"data row22 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row23_col0\" class=\"data row23 col0\" >2.5351</td>\n",
       "      <td id=\"T_a6639_row23_col1\" class=\"data row23 col1\" >0.0266</td>\n",
       "      <td id=\"T_a6639_row23_col2\" class=\"data row23 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row24_col0\" class=\"data row24 col0\" >2.9827</td>\n",
       "      <td id=\"T_a6639_row24_col1\" class=\"data row24 col1\" >0.0283</td>\n",
       "      <td id=\"T_a6639_row24_col2\" class=\"data row24 col2\" >117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row25_col0\" class=\"data row25 col0\" >2.6519</td>\n",
       "      <td id=\"T_a6639_row25_col1\" class=\"data row25 col1\" >0.0194</td>\n",
       "      <td id=\"T_a6639_row25_col2\" class=\"data row25 col2\" >80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row26_col0\" class=\"data row26 col0\" >2.0869</td>\n",
       "      <td id=\"T_a6639_row26_col1\" class=\"data row26 col1\" >0.0203</td>\n",
       "      <td id=\"T_a6639_row26_col2\" class=\"data row26 col2\" >84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row27_col0\" class=\"data row27 col0\" >2.6145</td>\n",
       "      <td id=\"T_a6639_row27_col1\" class=\"data row27 col1\" >0.0242</td>\n",
       "      <td id=\"T_a6639_row27_col2\" class=\"data row27 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row28_col0\" class=\"data row28 col0\" >2.5853</td>\n",
       "      <td id=\"T_a6639_row28_col1\" class=\"data row28 col1\" >0.0516</td>\n",
       "      <td id=\"T_a6639_row28_col2\" class=\"data row28 col2\" >213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row29_col0\" class=\"data row29 col0\" >1.6630</td>\n",
       "      <td id=\"T_a6639_row29_col1\" class=\"data row29 col1\" >0.0250</td>\n",
       "      <td id=\"T_a6639_row29_col2\" class=\"data row29 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row30_col0\" class=\"data row30 col0\" >1.5156</td>\n",
       "      <td id=\"T_a6639_row30_col1\" class=\"data row30 col1\" >0.0206</td>\n",
       "      <td id=\"T_a6639_row30_col2\" class=\"data row30 col2\" >85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row31_col0\" class=\"data row31 col0\" >1.7549</td>\n",
       "      <td id=\"T_a6639_row31_col1\" class=\"data row31 col1\" >0.0225</td>\n",
       "      <td id=\"T_a6639_row31_col2\" class=\"data row31 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row32_col0\" class=\"data row32 col0\" >1.3101</td>\n",
       "      <td id=\"T_a6639_row32_col1\" class=\"data row32 col1\" >0.0196</td>\n",
       "      <td id=\"T_a6639_row32_col2\" class=\"data row32 col2\" >81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row33_col0\" class=\"data row33 col0\" >1.3997</td>\n",
       "      <td id=\"T_a6639_row33_col1\" class=\"data row33 col1\" >0.0279</td>\n",
       "      <td id=\"T_a6639_row33_col2\" class=\"data row33 col2\" >115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row34_col0\" class=\"data row34 col0\" >1.1114</td>\n",
       "      <td id=\"T_a6639_row34_col1\" class=\"data row34 col1\" >0.0235</td>\n",
       "      <td id=\"T_a6639_row34_col2\" class=\"data row34 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a6639_row35_col0\" class=\"data row35 col0\" >0.8671</td>\n",
       "      <td id=\"T_a6639_row35_col1\" class=\"data row35 col1\" >0.0225</td>\n",
       "      <td id=\"T_a6639_row35_col2\" class=\"data row35 col2\" >93</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "<table id=\"T_9caec\" style='display:inline'>\n",
       "  <caption>X distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_9caec_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
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       "      <td id=\"T_9caec_row1_col2\" class=\"data row1 col2\" >1252</td>\n",
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       "      <td id=\"T_9caec_row3_col1\" class=\"data row3 col1\" >0.1240</td>\n",
       "      <td id=\"T_9caec_row3_col2\" class=\"data row3 col2\" >1535</td>\n",
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       "      <td id=\"T_9caec_row4_col1\" class=\"data row4 col1\" >0.0499</td>\n",
       "      <td id=\"T_9caec_row4_col2\" class=\"data row4 col2\" >618</td>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <td id=\"T_a8a74_row0_col1\" class=\"data row0 col1\" >0.5487</td>\n",
       "      <td id=\"T_a8a74_row0_col2\" class=\"data row0 col2\" >2265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8a74_row1_col0\" class=\"data row1 col0\" >1.2065</td>\n",
       "      <td id=\"T_a8a74_row1_col1\" class=\"data row1 col1\" >0.0952</td>\n",
       "      <td id=\"T_a8a74_row1_col2\" class=\"data row1 col2\" >393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_a8a74_row2_col0\" class=\"data row2 col0\" >2.5902</td>\n",
       "      <td id=\"T_a8a74_row2_col1\" class=\"data row2 col1\" >0.1945</td>\n",
       "      <td id=\"T_a8a74_row2_col2\" class=\"data row2 col2\" >803</td>\n",
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       "    <tr>\n",
       "      <td id=\"T_a8a74_row3_col0\" class=\"data row3 col0\" >1.5312</td>\n",
       "      <td id=\"T_a8a74_row3_col1\" class=\"data row3 col1\" >0.1156</td>\n",
       "      <td id=\"T_a8a74_row3_col2\" class=\"data row3 col2\" >477</td>\n",
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       "    <tr>\n",
       "      <td id=\"T_a8a74_row4_col0\" class=\"data row4 col0\" >0.9918</td>\n",
       "      <td id=\"T_a8a74_row4_col1\" class=\"data row4 col1\" >0.0460</td>\n",
       "      <td id=\"T_a8a74_row4_col2\" class=\"data row4 col2\" >190</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- [ContinuousCarver] Fit Numerical('Longitude') (8/8)\n",
      " [ContinuousCarver] Raw distribution\n"
     ]
    },
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       "      <td id=\"T_fb08a_row0_col1\" class=\"data row0 col1\" >0.0259</td>\n",
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       "      <th id=\"T_fb08a_level0_row1\" class=\"row_heading level0 row1\" >(-1.2269e+02, -1.2247e+02]</th>\n",
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       "      <td id=\"T_fb08a_row1_col1\" class=\"data row1 col1\" >0.0259</td>\n",
       "      <td id=\"T_fb08a_row1_col2\" class=\"data row1 col2\" >321</td>\n",
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       "      <th id=\"T_fb08a_level0_row2\" class=\"row_heading level0 row2\" >(-1.2247e+02, -1.2241e+02]</th>\n",
       "      <td id=\"T_fb08a_row2_col0\" class=\"data row2 col0\" >3.2397</td>\n",
       "      <td id=\"T_fb08a_row2_col1\" class=\"data row2 col1\" >0.0245</td>\n",
       "      <td id=\"T_fb08a_row2_col2\" class=\"data row2 col2\" >303</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row3\" class=\"row_heading level0 row3\" >(-1.2241e+02, -1.2229e+02]</th>\n",
       "      <td id=\"T_fb08a_row3_col0\" class=\"data row3 col0\" >2.1582</td>\n",
       "      <td id=\"T_fb08a_row3_col1\" class=\"data row3 col1\" >0.0262</td>\n",
       "      <td id=\"T_fb08a_row3_col2\" class=\"data row3 col2\" >324</td>\n",
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       "      <th id=\"T_fb08a_level0_row4\" class=\"row_heading level0 row4\" >(-1.2229e+02, -1.2215e+02]</th>\n",
       "      <td id=\"T_fb08a_row4_col0\" class=\"data row4 col0\" >2.3071</td>\n",
       "      <td id=\"T_fb08a_row4_col1\" class=\"data row4 col1\" >0.0476</td>\n",
       "      <td id=\"T_fb08a_row4_col2\" class=\"data row4 col2\" >589</td>\n",
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       "      <td id=\"T_fb08a_row5_col1\" class=\"data row5 col1\" >0.0263</td>\n",
       "      <td id=\"T_fb08a_row5_col2\" class=\"data row5 col2\" >326</td>\n",
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       "      <th id=\"T_fb08a_level0_row6\" class=\"row_heading level0 row6\" >(-1.2206e+02, -1.2199e+02]</th>\n",
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       "      <td id=\"T_fb08a_row6_col1\" class=\"data row6 col1\" >0.0253</td>\n",
       "      <td id=\"T_fb08a_row6_col2\" class=\"data row6 col2\" >313</td>\n",
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       "      <th id=\"T_fb08a_level0_row7\" class=\"row_heading level0 row7\" >(-1.2199e+02, -1.2191e+02]</th>\n",
       "      <td id=\"T_fb08a_row7_col0\" class=\"data row7 col0\" >2.6924</td>\n",
       "      <td id=\"T_fb08a_row7_col1\" class=\"data row7 col1\" >0.0237</td>\n",
       "      <td id=\"T_fb08a_row7_col2\" class=\"data row7 col2\" >294</td>\n",
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       "      <th id=\"T_fb08a_level0_row8\" class=\"row_heading level0 row8\" >(-1.2191e+02, -1.2181e+02]</th>\n",
       "      <td id=\"T_fb08a_row8_col0\" class=\"data row8 col0\" >2.2919</td>\n",
       "      <td id=\"T_fb08a_row8_col1\" class=\"data row8 col1\" >0.0255</td>\n",
       "      <td id=\"T_fb08a_row8_col2\" class=\"data row8 col2\" >316</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row9\" class=\"row_heading level0 row9\" >(-1.2181e+02, -1.2157e+02]</th>\n",
       "      <td id=\"T_fb08a_row9_col0\" class=\"data row9 col0\" >1.7103</td>\n",
       "      <td id=\"T_fb08a_row9_col1\" class=\"data row9 col1\" >0.0242</td>\n",
       "      <td id=\"T_fb08a_row9_col2\" class=\"data row9 col2\" >300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row10\" class=\"row_heading level0 row10\" >(-1.2157e+02, -1.2139e+02]</th>\n",
       "      <td id=\"T_fb08a_row10_col0\" class=\"data row10 col0\" >1.1736</td>\n",
       "      <td id=\"T_fb08a_row10_col1\" class=\"data row10 col1\" >0.0252</td>\n",
       "      <td id=\"T_fb08a_row10_col2\" class=\"data row10 col2\" >312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_fb08a_row11_col0\" class=\"data row11 col0\" >1.3270</td>\n",
       "      <td id=\"T_fb08a_row11_col1\" class=\"data row11 col1\" >0.0263</td>\n",
       "      <td id=\"T_fb08a_row11_col2\" class=\"data row11 col2\" >326</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row12_col0\" class=\"data row12 col0\" >1.4857</td>\n",
       "      <td id=\"T_fb08a_row12_col1\" class=\"data row12 col1\" >0.0238</td>\n",
       "      <td id=\"T_fb08a_row12_col2\" class=\"data row12 col2\" >295</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row13\" class=\"row_heading level0 row13\" >(-1.2101e+02, -1.2064e+02]</th>\n",
       "      <td id=\"T_fb08a_row13_col0\" class=\"data row13 col0\" >1.4716</td>\n",
       "      <td id=\"T_fb08a_row13_col1\" class=\"data row13 col1\" >0.0245</td>\n",
       "      <td id=\"T_fb08a_row13_col2\" class=\"data row13 col2\" >304</td>\n",
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       "      <td id=\"T_fb08a_row14_col0\" class=\"data row14 col0\" >1.3376</td>\n",
       "      <td id=\"T_fb08a_row14_col1\" class=\"data row14 col1\" >0.0254</td>\n",
       "      <td id=\"T_fb08a_row14_col2\" class=\"data row14 col2\" >314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_fb08a_row15_col0\" class=\"data row15 col0\" >1.2624</td>\n",
       "      <td id=\"T_fb08a_row15_col1\" class=\"data row15 col1\" >0.0258</td>\n",
       "      <td id=\"T_fb08a_row15_col2\" class=\"data row15 col2\" >319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row16\" class=\"row_heading level0 row16\" >(-1.1972e+02, -1.1929e+02]</th>\n",
       "      <td id=\"T_fb08a_row16_col0\" class=\"data row16 col0\" >1.3332</td>\n",
       "      <td id=\"T_fb08a_row16_col1\" class=\"data row16 col1\" >0.0239</td>\n",
       "      <td id=\"T_fb08a_row16_col2\" class=\"data row16 col2\" >296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td id=\"T_fb08a_row17_col0\" class=\"data row17 col0\" >1.3300</td>\n",
       "      <td id=\"T_fb08a_row17_col1\" class=\"data row17 col1\" >0.0250</td>\n",
       "      <td id=\"T_fb08a_row17_col2\" class=\"data row17 col2\" >310</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row18_col0\" class=\"data row18 col0\" >2.7211</td>\n",
       "      <td id=\"T_fb08a_row18_col1\" class=\"data row18 col1\" >0.0258</td>\n",
       "      <td id=\"T_fb08a_row18_col2\" class=\"data row18 col2\" >319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row19\" class=\"row_heading level0 row19\" >(-1.1852e+02, -1.1843e+02]</th>\n",
       "      <td id=\"T_fb08a_row19_col0\" class=\"data row19 col0\" >3.1653</td>\n",
       "      <td id=\"T_fb08a_row19_col1\" class=\"data row19 col1\" >0.0284</td>\n",
       "      <td id=\"T_fb08a_row19_col2\" class=\"data row19 col2\" >352</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row20_col0\" class=\"data row20 col0\" >3.4432</td>\n",
       "      <td id=\"T_fb08a_row20_col1\" class=\"data row20 col1\" >0.0238</td>\n",
       "      <td id=\"T_fb08a_row20_col2\" class=\"data row20 col2\" >295</td>\n",
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       "      <td id=\"T_fb08a_row21_col0\" class=\"data row21 col0\" >2.7480</td>\n",
       "      <td id=\"T_fb08a_row21_col1\" class=\"data row21 col1\" >0.0249</td>\n",
       "      <td id=\"T_fb08a_row21_col2\" class=\"data row21 col2\" >308</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row22_col0\" class=\"data row22 col0\" >2.3435</td>\n",
       "      <td id=\"T_fb08a_row22_col1\" class=\"data row22 col1\" >0.0271</td>\n",
       "      <td id=\"T_fb08a_row22_col2\" class=\"data row22 col2\" >336</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row23_col0\" class=\"data row23 col0\" >1.7476</td>\n",
       "      <td id=\"T_fb08a_row23_col1\" class=\"data row23 col1\" >0.0480</td>\n",
       "      <td id=\"T_fb08a_row23_col2\" class=\"data row23 col2\" >594</td>\n",
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       "      <td id=\"T_fb08a_row24_col0\" class=\"data row24 col0\" >1.8055</td>\n",
       "      <td id=\"T_fb08a_row24_col1\" class=\"data row24 col1\" >0.0227</td>\n",
       "      <td id=\"T_fb08a_row24_col2\" class=\"data row24 col2\" >281</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row25_col0\" class=\"data row25 col0\" >2.1480</td>\n",
       "      <td id=\"T_fb08a_row25_col1\" class=\"data row25 col1\" >0.0287</td>\n",
       "      <td id=\"T_fb08a_row25_col2\" class=\"data row25 col2\" >356</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row26_col0\" class=\"data row26 col0\" >2.2494</td>\n",
       "      <td id=\"T_fb08a_row26_col1\" class=\"data row26 col1\" >0.0243</td>\n",
       "      <td id=\"T_fb08a_row26_col2\" class=\"data row26 col2\" >301</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row27_col0\" class=\"data row27 col0\" >2.4079</td>\n",
       "      <td id=\"T_fb08a_row27_col1\" class=\"data row27 col1\" >0.0245</td>\n",
       "      <td id=\"T_fb08a_row27_col2\" class=\"data row27 col2\" >303</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row28_col0\" class=\"data row28 col0\" >2.2304</td>\n",
       "      <td id=\"T_fb08a_row28_col1\" class=\"data row28 col1\" >0.0468</td>\n",
       "      <td id=\"T_fb08a_row28_col2\" class=\"data row28 col2\" >580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row29\" class=\"row_heading level0 row29\" >(-1.1790e+02, -1.1780e+02]</th>\n",
       "      <td id=\"T_fb08a_row29_col0\" class=\"data row29 col0\" >2.4820</td>\n",
       "      <td id=\"T_fb08a_row29_col1\" class=\"data row29 col1\" >0.0266</td>\n",
       "      <td id=\"T_fb08a_row29_col2\" class=\"data row29 col2\" >329</td>\n",
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       "    <tr>\n",
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       "      <td id=\"T_fb08a_row30_col0\" class=\"data row30 col0\" >2.2864</td>\n",
       "      <td id=\"T_fb08a_row30_col1\" class=\"data row30 col1\" >0.0248</td>\n",
       "      <td id=\"T_fb08a_row30_col2\" class=\"data row30 col2\" >307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row31\" class=\"row_heading level0 row31\" >(-1.1766e+02, -1.1739e+02]</th>\n",
       "      <td id=\"T_fb08a_row31_col0\" class=\"data row31 col0\" >1.6791</td>\n",
       "      <td id=\"T_fb08a_row31_col1\" class=\"data row31 col1\" >0.0237</td>\n",
       "      <td id=\"T_fb08a_row31_col2\" class=\"data row31 col2\" >294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row32\" class=\"row_heading level0 row32\" >(-1.1739e+02, -1.1725e+02]</th>\n",
       "      <td id=\"T_fb08a_row32_col0\" class=\"data row32 col0\" >1.6380</td>\n",
       "      <td id=\"T_fb08a_row32_col1\" class=\"data row32 col1\" >0.0290</td>\n",
       "      <td id=\"T_fb08a_row32_col2\" class=\"data row32 col2\" >359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row33\" class=\"row_heading level0 row33\" >(-1.1725e+02, -1.1716e+02]</th>\n",
       "      <td id=\"T_fb08a_row33_col0\" class=\"data row33 col0\" >2.0512</td>\n",
       "      <td id=\"T_fb08a_row33_col1\" class=\"data row33 col1\" >0.0229</td>\n",
       "      <td id=\"T_fb08a_row33_col2\" class=\"data row33 col2\" >284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row34\" class=\"row_heading level0 row34\" >(-1.1716e+02, -1.1708e+02]</th>\n",
       "      <td id=\"T_fb08a_row34_col0\" class=\"data row34 col0\" >1.5113</td>\n",
       "      <td id=\"T_fb08a_row34_col1\" class=\"data row34 col1\" >0.0249</td>\n",
       "      <td id=\"T_fb08a_row34_col2\" class=\"data row34 col2\" >308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row35\" class=\"row_heading level0 row35\" >(-1.1708e+02, -1.1696e+02]</th>\n",
       "      <td id=\"T_fb08a_row35_col0\" class=\"data row35 col0\" >1.6669</td>\n",
       "      <td id=\"T_fb08a_row35_col1\" class=\"data row35 col1\" >0.0235</td>\n",
       "      <td id=\"T_fb08a_row35_col2\" class=\"data row35 col2\" >291</td>\n",
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       "    <tr>\n",
       "      <th id=\"T_fb08a_level0_row36\" class=\"row_heading level0 row36\" >(-1.1696e+02, inf)</th>\n",
       "      <td id=\"T_fb08a_row36_col0\" class=\"data row36 col0\" >1.1769</td>\n",
       "      <td id=\"T_fb08a_row36_col1\" class=\"data row36 col1\" >0.0245</td>\n",
       "      <td id=\"T_fb08a_row36_col2\" class=\"data row36 col2\" >304</td>\n",
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       "  </tbody>\n",
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       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d351f_row25_col0 {\n",
       "  background-color: #ccd9ed;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row25_col1, #T_d351f_row25_col2 {\n",
       "  background-color: #7295f4;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d351f_row26_col0 {\n",
       "  background-color: #ead5c9;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row26_col1, #T_d351f_row26_col2 {\n",
       "  background-color: #5a78e4;\n",
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       "#T_d351f_row27_col0 {\n",
       "  background-color: #f1cdba;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row27_col1, #T_d351f_row27_col2, #T_d351f_row30_col1, #T_d351f_row30_col2, #T_d351f_row36_col0 {\n",
       "  background-color: #4f69d9;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d351f_row29_col0 {\n",
       "  background-color: #f5c2aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row29_col1, #T_d351f_row29_col2 {\n",
       "  background-color: #90b2fe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row30_col0 {\n",
       "  background-color: #e1dad6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row31_col0 {\n",
       "  background-color: #9abbff;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row32_col0 {\n",
       "  background-color: #aec9fc;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row32_col1, #T_d351f_row32_col2 {\n",
       "  background-color: #abc8fd;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_d351f_row34_col0, #T_d351f_row36_col1, #T_d351f_row36_col2 {\n",
       "  background-color: #6b8df0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d351f_row34_col1, #T_d351f_row34_col2 {\n",
       "  background-color: #84a7fc;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_d351f_row35_col0 {\n",
       "  background-color: #80a3fa;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_d351f\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_d351f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_d351f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_d351f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row0_col0\" class=\"data row0 col0\" >1.3927</td>\n",
       "      <td id=\"T_d351f_row0_col1\" class=\"data row0 col1\" >0.0216</td>\n",
       "      <td id=\"T_d351f_row0_col2\" class=\"data row0 col2\" >89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row1_col0\" class=\"data row1 col0\" >3.0129</td>\n",
       "      <td id=\"T_d351f_row1_col1\" class=\"data row1 col1\" >0.0233</td>\n",
       "      <td id=\"T_d351f_row1_col2\" class=\"data row1 col2\" >96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row2_col0\" class=\"data row2 col0\" >3.1899</td>\n",
       "      <td id=\"T_d351f_row2_col1\" class=\"data row2 col1\" >0.0225</td>\n",
       "      <td id=\"T_d351f_row2_col2\" class=\"data row2 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row3_col0\" class=\"data row3 col0\" >2.1911</td>\n",
       "      <td id=\"T_d351f_row3_col1\" class=\"data row3 col1\" >0.0271</td>\n",
       "      <td id=\"T_d351f_row3_col2\" class=\"data row3 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row4_col0\" class=\"data row4 col0\" >2.3035</td>\n",
       "      <td id=\"T_d351f_row4_col1\" class=\"data row4 col1\" >0.0453</td>\n",
       "      <td id=\"T_d351f_row4_col2\" class=\"data row4 col2\" >187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row5_col0\" class=\"data row5 col0\" >2.9862</td>\n",
       "      <td id=\"T_d351f_row5_col1\" class=\"data row5 col1\" >0.0240</td>\n",
       "      <td id=\"T_d351f_row5_col2\" class=\"data row5 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row6_col0\" class=\"data row6 col0\" >2.5471</td>\n",
       "      <td id=\"T_d351f_row6_col1\" class=\"data row6 col1\" >0.0240</td>\n",
       "      <td id=\"T_d351f_row6_col2\" class=\"data row6 col2\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row7_col0\" class=\"data row7 col0\" >2.6969</td>\n",
       "      <td id=\"T_d351f_row7_col1\" class=\"data row7 col1\" >0.0230</td>\n",
       "      <td id=\"T_d351f_row7_col2\" class=\"data row7 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row8_col0\" class=\"data row8 col0\" >2.1464</td>\n",
       "      <td id=\"T_d351f_row8_col1\" class=\"data row8 col1\" >0.0250</td>\n",
       "      <td id=\"T_d351f_row8_col2\" class=\"data row8 col2\" >103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row9_col0\" class=\"data row9 col0\" >1.7105</td>\n",
       "      <td id=\"T_d351f_row9_col1\" class=\"data row9 col1\" >0.0218</td>\n",
       "      <td id=\"T_d351f_row9_col2\" class=\"data row9 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row10_col0\" class=\"data row10 col0\" >1.0959</td>\n",
       "      <td id=\"T_d351f_row10_col1\" class=\"data row10 col1\" >0.0220</td>\n",
       "      <td id=\"T_d351f_row10_col2\" class=\"data row10 col2\" >91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row11_col0\" class=\"data row11 col0\" >1.2918</td>\n",
       "      <td id=\"T_d351f_row11_col1\" class=\"data row11 col1\" >0.0291</td>\n",
       "      <td id=\"T_d351f_row11_col2\" class=\"data row11 col2\" >120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row12_col0\" class=\"data row12 col0\" >1.3781</td>\n",
       "      <td id=\"T_d351f_row12_col1\" class=\"data row12 col1\" >0.0230</td>\n",
       "      <td id=\"T_d351f_row12_col2\" class=\"data row12 col2\" >95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row13_col0\" class=\"data row13 col0\" >1.4767</td>\n",
       "      <td id=\"T_d351f_row13_col1\" class=\"data row13 col1\" >0.0225</td>\n",
       "      <td id=\"T_d351f_row13_col2\" class=\"data row13 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row14_col0\" class=\"data row14 col0\" >1.2441</td>\n",
       "      <td id=\"T_d351f_row14_col1\" class=\"data row14 col1\" >0.0252</td>\n",
       "      <td id=\"T_d351f_row14_col2\" class=\"data row14 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row15_col0\" class=\"data row15 col0\" >1.2810</td>\n",
       "      <td id=\"T_d351f_row15_col1\" class=\"data row15 col1\" >0.0281</td>\n",
       "      <td id=\"T_d351f_row15_col2\" class=\"data row15 col2\" >116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row16_col0\" class=\"data row16 col0\" >1.2813</td>\n",
       "      <td id=\"T_d351f_row16_col1\" class=\"data row16 col1\" >0.0252</td>\n",
       "      <td id=\"T_d351f_row16_col2\" class=\"data row16 col2\" >104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row17_col0\" class=\"data row17 col0\" >1.4223</td>\n",
       "      <td id=\"T_d351f_row17_col1\" class=\"data row17 col1\" >0.0274</td>\n",
       "      <td id=\"T_d351f_row17_col2\" class=\"data row17 col2\" >113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row18_col0\" class=\"data row18 col0\" >2.7081</td>\n",
       "      <td id=\"T_d351f_row18_col1\" class=\"data row18 col1\" >0.0218</td>\n",
       "      <td id=\"T_d351f_row18_col2\" class=\"data row18 col2\" >90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row19_col0\" class=\"data row19 col0\" >3.2548</td>\n",
       "      <td id=\"T_d351f_row19_col1\" class=\"data row19 col1\" >0.0266</td>\n",
       "      <td id=\"T_d351f_row19_col2\" class=\"data row19 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row20_col0\" class=\"data row20 col0\" >3.3604</td>\n",
       "      <td id=\"T_d351f_row20_col1\" class=\"data row20 col1\" >0.0242</td>\n",
       "      <td id=\"T_d351f_row20_col2\" class=\"data row20 col2\" >100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row21_col0\" class=\"data row21 col0\" >2.8064</td>\n",
       "      <td id=\"T_d351f_row21_col1\" class=\"data row21 col1\" >0.0262</td>\n",
       "      <td id=\"T_d351f_row21_col2\" class=\"data row21 col2\" >108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row22_col0\" class=\"data row22 col0\" >2.2395</td>\n",
       "      <td id=\"T_d351f_row22_col1\" class=\"data row22 col1\" >0.0305</td>\n",
       "      <td id=\"T_d351f_row22_col2\" class=\"data row22 col2\" >126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row23_col0\" class=\"data row23 col0\" >1.7631</td>\n",
       "      <td id=\"T_d351f_row23_col1\" class=\"data row23 col1\" >0.0434</td>\n",
       "      <td id=\"T_d351f_row23_col2\" class=\"data row23 col2\" >179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row24_col0\" class=\"data row24 col0\" >1.6175</td>\n",
       "      <td id=\"T_d351f_row24_col1\" class=\"data row24 col1\" >0.0298</td>\n",
       "      <td id=\"T_d351f_row24_col2\" class=\"data row24 col2\" >123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row25_col0\" class=\"data row25 col0\" >2.0881</td>\n",
       "      <td id=\"T_d351f_row25_col1\" class=\"data row25 col1\" >0.0264</td>\n",
       "      <td id=\"T_d351f_row25_col2\" class=\"data row25 col2\" >109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row26_col0\" class=\"data row26 col0\" >2.3487</td>\n",
       "      <td id=\"T_d351f_row26_col1\" class=\"data row26 col1\" >0.0245</td>\n",
       "      <td id=\"T_d351f_row26_col2\" class=\"data row26 col2\" >101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row27_col0\" class=\"data row27 col0\" >2.4322</td>\n",
       "      <td id=\"T_d351f_row27_col1\" class=\"data row27 col1\" >0.0235</td>\n",
       "      <td id=\"T_d351f_row27_col2\" class=\"data row27 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row28_col0\" class=\"data row28 col0\" >2.1850</td>\n",
       "      <td id=\"T_d351f_row28_col1\" class=\"data row28 col1\" >0.0497</td>\n",
       "      <td id=\"T_d351f_row28_col2\" class=\"data row28 col2\" >205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row29_col0\" class=\"data row29 col0\" >2.5202</td>\n",
       "      <td id=\"T_d351f_row29_col1\" class=\"data row29 col1\" >0.0288</td>\n",
       "      <td id=\"T_d351f_row29_col2\" class=\"data row29 col2\" >119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row30_col0\" class=\"data row30 col0\" >2.2701</td>\n",
       "      <td id=\"T_d351f_row30_col1\" class=\"data row30 col1\" >0.0235</td>\n",
       "      <td id=\"T_d351f_row30_col2\" class=\"data row30 col2\" >97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row31_col0\" class=\"data row31 col0\" >1.7464</td>\n",
       "      <td id=\"T_d351f_row31_col1\" class=\"data row31 col1\" >0.0225</td>\n",
       "      <td id=\"T_d351f_row31_col2\" class=\"data row31 col2\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row32_col0\" class=\"data row32 col0\" >1.8748</td>\n",
       "      <td id=\"T_d351f_row32_col1\" class=\"data row32 col1\" >0.0310</td>\n",
       "      <td id=\"T_d351f_row32_col2\" class=\"data row32 col2\" >128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row33_col0\" class=\"data row33 col0\" >2.1466</td>\n",
       "      <td id=\"T_d351f_row33_col1\" class=\"data row33 col1\" >0.0266</td>\n",
       "      <td id=\"T_d351f_row33_col2\" class=\"data row33 col2\" >110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row34_col0\" class=\"data row34 col0\" >1.4479</td>\n",
       "      <td id=\"T_d351f_row34_col1\" class=\"data row34 col1\" >0.0279</td>\n",
       "      <td id=\"T_d351f_row34_col2\" class=\"data row34 col2\" >115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row35_col0\" class=\"data row35 col0\" >1.5746</td>\n",
       "      <td id=\"T_d351f_row35_col1\" class=\"data row35 col1\" >0.0271</td>\n",
       "      <td id=\"T_d351f_row35_col2\" class=\"data row35 col2\" >112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_d351f_row36_col0\" class=\"data row36 col0\" >1.2465</td>\n",
       "      <td id=\"T_d351f_row36_col1\" class=\"data row36 col1\" >0.0259</td>\n",
       "      <td id=\"T_d351f_row36_col2\" class=\"data row36 col2\" >107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " [ContinuousCarver] Carved distribution\n"
     ]
    },
    {
     "data": {
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       "  <caption>X distribution</caption>\n",
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
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       "  color: #000000;\n",
       "}\n",
       "#T_1c04f_row0_col1, #T_1c04f_row0_col2 {\n",
       "  background-color: #f39778;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1c04f_row1_col0, #T_1c04f_row2_col1, #T_1c04f_row2_col2 {\n",
       "  background-color: #3b4cc0;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1c04f_row1_col1, #T_1c04f_row1_col2 {\n",
       "  background-color: #f7af91;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1c04f_row2_col0, #T_1c04f_row3_col1, #T_1c04f_row3_col2 {\n",
       "  background-color: #b40426;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1c04f_row3_col0 {\n",
       "  background-color: #d3dbe7;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_1c04f_row4_col0 {\n",
       "  background-color: #799cf8;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_1c04f_row4_col1, #T_1c04f_row4_col2 {\n",
       "  background-color: #adc9fd;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_1c04f\" style='display:inline'>\n",
       "  <caption>X_dev distribution</caption>\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th id=\"T_1c04f_level0_col0\" class=\"col_heading level0 col0\" >target_mean</th>\n",
       "      <th id=\"T_1c04f_level0_col1\" class=\"col_heading level0 col1\" >frequency</th>\n",
       "      <th id=\"T_1c04f_level0_col2\" class=\"col_heading level0 col2\" >count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td id=\"T_1c04f_row0_col0\" class=\"data row0 col0\" >2.4780</td>\n",
       "      <td id=\"T_1c04f_row0_col1\" class=\"data row0 col1\" >0.2357</td>\n",
       "      <td id=\"T_1c04f_row0_col2\" class=\"data row0 col2\" >973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1c04f_row1_col0\" class=\"data row1 col0\" >1.3487</td>\n",
       "      <td id=\"T_1c04f_row1_col1\" class=\"data row1 col1\" >0.2243</td>\n",
       "      <td id=\"T_1c04f_row1_col2\" class=\"data row1 col2\" >926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1c04f_row2_col0\" class=\"data row2 col0\" >3.0414</td>\n",
       "      <td id=\"T_1c04f_row2_col1\" class=\"data row2 col1\" >0.0988</td>\n",
       "      <td id=\"T_1c04f_row2_col2\" class=\"data row2 col2\" >408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1c04f_row3_col0\" class=\"data row3 col0\" >2.1328</td>\n",
       "      <td id=\"T_1c04f_row3_col1\" class=\"data row3 col1\" >0.2800</td>\n",
       "      <td id=\"T_1c04f_row3_col2\" class=\"data row3 col2\" >1156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td id=\"T_1c04f_row4_col0\" class=\"data row4 col0\" >1.6763</td>\n",
       "      <td id=\"T_1c04f_row4_col1\" class=\"data row4 col1\" >0.1611</td>\n",
       "      <td id=\"T_1c04f_row4_col2\" class=\"data row4 col2\" >665</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>library</th>\n",
       "      <th>fit_s</th>\n",
       "      <th>transform_s</th>\n",
       "      <th>train_r2</th>\n",
       "      <th>test_r2</th>\n",
       "      <th>r2_drop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AutoCarver</td>\n",
       "      <td>5.890</td>\n",
       "      <td>0.0889</td>\n",
       "      <td>0.6652</td>\n",
       "      <td>0.6595</td>\n",
       "      <td>0.0057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>optbinning</td>\n",
       "      <td>2.876</td>\n",
       "      <td>0.0083</td>\n",
       "      <td>0.5145</td>\n",
       "      <td>0.5077</td>\n",
       "      <td>0.0068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KBinsDiscretizer</td>\n",
       "      <td>0.009</td>\n",
       "      <td>0.0018</td>\n",
       "      <td>0.6181</td>\n",
       "      <td>0.6192</td>\n",
       "      <td>-0.0011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            library  fit_s  transform_s  train_r2  test_r2  r2_drop\n",
       "0        AutoCarver  5.890       0.0889    0.6652   0.6595   0.0057\n",
       "1        optbinning  2.876       0.0083    0.5145   0.5077   0.0068\n",
       "2  KBinsDiscretizer  0.009       0.0018    0.6181   0.6192  -0.0011"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_full = pd.concat([y_train, y_dev])\n",
    "\n",
    "runs = [(\n",
    "    'AutoCarver',\n",
    "    lambda: bin_with_autocarver(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, 'continuous'),\n",
    ")]\n",
    "if HAS_OPTBINNING:\n",
    "    runs.append((\n",
    "        'optbinning',\n",
    "        lambda: bin_with_optbinning(X_train, y_train, X_dev, y_dev, X_test, categoricals, quantitatives, 'continuous'),\n",
    "    ))\n",
    "runs.append((\n",
    "    'KBinsDiscretizer',\n",
    "    lambda: bin_with_kbins(X_train, X_dev, X_test, categoricals, quantitatives),\n",
    "))\n",
    "\n",
    "rows = []\n",
    "for name, run in runs:\n",
    "    X_tr, X_te, fit_t, transform_t, carver = run()\n",
    "    scores = fit_eval_regression(X_tr, X_te, y_train_full, y_test)\n",
    "    rows.append({\n",
    "        'library': name,\n",
    "        'fit_s': round(fit_t, 3),\n",
    "        'transform_s': round(transform_t, 4),\n",
    "        'train_r2': round(scores['train_r2'], 4),\n",
    "        'test_r2': round(scores['test_r2'], 4),\n",
    "        'r2_drop': round(scores['train_r2'] - scores['test_r2'], 4),\n",
    "    })\n",
    "\n",
    "regression_results = pd.DataFrame(rows)\n",
    "regression_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b7da7c9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x350 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bars(regression_results, ['fit_s', 'test_r2', 'r2_drop'], 'California Housing \\u2014 regression')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "notes-md",
   "metadata": {},
   "source": [
    "## How to read these numbers\n",
    "\n",
    "- **`fit_s` / `transform_s`** measure only `.fit` / `.transform` wall-clock — not data loading, not one-hot encoding, not the downstream model.\n",
    "- **`test_auc` / `test_r2`** are the headline metric. They reflect how well a *simple* downstream model performs on each library's binned output. A tree-based downstream model would tell a different (and less binning-sensitive) story.\n",
    "- **`auc_drop` / `r2_drop`** are `train - test` and measure how much each library's bins overfit. Lower is more robust. AutoCarver's dev-set veto is designed to keep this small.\n",
    "- **Same data, same seed, same downstream model** across libraries — but a single run, on one machine, with one set of hyper-parameters. Treat as illustrative.\n",
    "\n",
    "## When the result will move\n",
    "\n",
    "- **Bigger `max_n_mod` / smaller `min_freq`** will improve AutoCarver and optbinning's in-sample scores at the cost of `*_drop`. KBins doesn't have a target, so it's mostly insensitive.\n",
    "- **Different downstream model.** Gradient-boosted trees on the raw features beat any binning + linear pipeline. The point of binning is interpretability, not raw accuracy.\n",
    "- **Different dataset.** German Credit is small; on a 10M-row credit-risk dataset, `fit_s` is what dominates the comparison.\n",
    "\n",
    "See [comparison.rst](../../comparison.html) for the qualitative scope and algorithmic comparison."
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "AutoCarver",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.15"
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 },
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}