examples/example_boston_discover_feature_relationships.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore feature-to-feature relationship in Boston"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from sklearn import datasets\n",
    "from discover_feature_relationships import discover\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-01-10 \n",
      "\n",
      "CPython 3.6.8\n",
      "IPython 6.4.0\n",
      "\n",
      "numpy 1.14.5\n",
      "matplotlib 2.2.2\n",
      "sklearn 0.19.1\n",
      "\n",
      "compiler   : GCC 7.3.0\n",
      "system     : Linux\n",
      "release    : 4.19.8-041908-generic\n",
      "machine    : x86_64\n",
      "processor  : x86_64\n",
      "CPU cores  : 8\n",
      "interpreter: 64bit\n",
      "Git hash   : 120d23c43b53417d8c535b38dd96045f287f3223\n"
     ]
    }
   ],
   "source": [
    "# watermark is optional - it shows the versions of installed libraries\n",
    "# so it is useful to confirm your library versions when you submit bug reports to projects\n",
    "# install watermark using\n",
    "# %install_ext https://raw.githubusercontent.com/rasbt/watermark/master/watermark.py\n",
    "%load_ext watermark\n",
    "# show a watermark for this environment\n",
    "%watermark -d -m -v -p numpy,matplotlib,sklearn -g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "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>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2.0</td>\n",
       "      <td>242.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
       "0  0.00632  18.0   2.31   0.0  0.538  6.575  65.2  4.0900  1.0  296.0   \n",
       "1  0.02731   0.0   7.07   0.0  0.469  6.421  78.9  4.9671  2.0  242.0   \n",
       "2  0.02729   0.0   7.07   0.0  0.469  7.185  61.1  4.9671  2.0  242.0   \n",
       "3  0.03237   0.0   2.18   0.0  0.458  6.998  45.8  6.0622  3.0  222.0   \n",
       "4  0.06905   0.0   2.18   0.0  0.458  7.147  54.2  6.0622  3.0  222.0   \n",
       "\n",
       "   PTRATIO       B  LSTAT  target  \n",
       "0     15.3  396.90   4.98    24.0  \n",
       "1     17.8  396.90   9.14    21.6  \n",
       "2     17.8  392.83   4.03    34.7  \n",
       "3     18.7  394.63   2.94    33.4  \n",
       "4     18.7  396.90   5.33    36.2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "example_dataset = datasets.load_boston()\n",
    "df_boston = pd.DataFrame(example_dataset.data, columns=example_dataset.feature_names)\n",
    "df_boston['target'] = example_dataset.target\n",
    "\n",
    "df = df_boston\n",
    "cols = ['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX',\n",
    "       'PTRATIO', 'B', 'LSTAT', 'target']\n",
    "classifier_overrides = set()\n",
    "\n",
    "df = df_boston\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Discover non-linear relationships\n",
    "\n",
    "_Github note_ colours for `style` don't show up in Github, you'll have to grab a local copy of the Notebook.\n",
    "\n",
    "* NOX predicts RAD, INDUS, TAX and DIS\n",
    "* RAD predicts DIS poorly, NOX better, TAX better\n",
    "* CRIM predicts RAD but RAD poorly predicts CRIM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 29.9 s, sys: 16.2 ms, total: 29.9 s\n",
      "Wall time: 29.9 s\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%time df_results = discover.discover(df[cols].sample(frac=1), classifier_overrides)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 8))\n",
    "sns.heatmap(df_results.pivot(index='target', columns='feature', values='score').fillna(1),\n",
    "            annot=True, center=0, ax=ax, vmin=-0.1, vmax=1, cmap=\"viridis\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col2 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col3 {\n",
       "            background-color:  #23898e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col4 {\n",
       "            background-color:  #218e8d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col5 {\n",
       "            background-color:  #2eb37c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col6 {\n",
       "            background-color:  #25858e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col7 {\n",
       "            background-color:  #35b779;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col8 {\n",
       "            background-color:  #37b878;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col9 {\n",
       "            background-color:  #28ae80;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col10 {\n",
       "            background-color:  #25858e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col11 {\n",
       "            background-color:  #29af7f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col12 {\n",
       "            background-color:  #29af7f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col13 {\n",
       "            background-color:  #20938c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col0 {\n",
       "            background-color:  #25ac82;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col1 {\n",
       "            background-color:  #1f9e89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col2 {\n",
       "            background-color:  #1fa187;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col3 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col4 {\n",
       "            background-color:  #277e8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col5 {\n",
       "            background-color:  #5cc863;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col6 {\n",
       "            background-color:  #25858e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col7 {\n",
       "            background-color:  #60ca60;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col8 {\n",
       "            background-color:  #56c667;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col9 {\n",
       "            background-color:  #5cc863;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col11 {\n",
       "            background-color:  #5cc863;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col12 {\n",
       "            background-color:  #22a884;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col13 {\n",
       "            background-color:  #40bd72;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col0 {\n",
       "            background-color:  #54c568;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col1 {\n",
       "            background-color:  #1f948c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col2 {\n",
       "            background-color:  #1fa187;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col3 {\n",
       "            background-color:  #3fbc73;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col4 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col5 {\n",
       "            background-color:  #cde11d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col6 {\n",
       "            background-color:  #1f978b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col7 {\n",
       "            background-color:  #d2e21b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col8 {\n",
       "            background-color:  #6ccd5a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col9 {\n",
       "            background-color:  #3fbc73;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col11 {\n",
       "            background-color:  #aadc32;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col12 {\n",
       "            background-color:  #86d549;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col13 {\n",
       "            background-color:  #1f9a8a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col0 {\n",
       "            background-color:  #28ae80;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col1 {\n",
       "            background-color:  #21918c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col2 {\n",
       "            background-color:  #21908d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col3 {\n",
       "            background-color:  #40bd72;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col4 {\n",
       "            background-color:  #58c765;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col5 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col6 {\n",
       "            background-color:  #20a386;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col7 {\n",
       "            background-color:  #ece51b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col8 {\n",
       "            background-color:  #8ed645;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col9 {\n",
       "            background-color:  #4ac16d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col11 {\n",
       "            background-color:  #cde11d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col12 {\n",
       "            background-color:  #3dbc74;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col13 {\n",
       "            background-color:  #28ae80;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col0 {\n",
       "            background-color:  #218e8d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col1 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col2 {\n",
       "            background-color:  #27808e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col3 {\n",
       "            background-color:  #1f978b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col4 {\n",
       "            background-color:  #1f978b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col5 {\n",
       "            background-color:  #3bbb75;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col6 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col7 {\n",
       "            background-color:  #56c667;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col8 {\n",
       "            background-color:  #22a785;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col9 {\n",
       "            background-color:  #20a386;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col10 {\n",
       "            background-color:  #1e9b8a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col11 {\n",
       "            background-color:  #2cb17e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col12 {\n",
       "            background-color:  #1f998a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col13 {\n",
       "            background-color:  #4ec36b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col0 {\n",
       "            background-color:  #48c16e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col1 {\n",
       "            background-color:  #20938c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col2 {\n",
       "            background-color:  #1f968b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col3 {\n",
       "            background-color:  #63cb5f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col4 {\n",
       "            background-color:  #89d548;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col5 {\n",
       "            background-color:  #c8e020;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col6 {\n",
       "            background-color:  #1f998a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col7 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col8 {\n",
       "            background-color:  #8ed645;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col9 {\n",
       "            background-color:  #58c765;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col11 {\n",
       "            background-color:  #a5db36;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col12 {\n",
       "            background-color:  #3bbb75;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col13 {\n",
       "            background-color:  #26ad81;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col0 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col1 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col2 {\n",
       "            background-color:  #1e9c89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col3 {\n",
       "            background-color:  #1f988b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col4 {\n",
       "            background-color:  #26828e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col5 {\n",
       "            background-color:  #d0e11c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col6 {\n",
       "            background-color:  #25848e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col7 {\n",
       "            background-color:  #d8e219;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col8 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col9 {\n",
       "            background-color:  #4ac16d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col11 {\n",
       "            background-color:  #c0df25;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col12 {\n",
       "            background-color:  #3bbb75;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col13 {\n",
       "            background-color:  #1e9d89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col0 {\n",
       "            background-color:  #228c8d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col1 {\n",
       "            background-color:  #1e9c89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col2 {\n",
       "            background-color:  #1fa088;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col3 {\n",
       "            background-color:  #dae319;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col4 {\n",
       "            background-color:  #1e9c89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col5 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col6 {\n",
       "            background-color:  #1f968b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col7 {\n",
       "            background-color:  #fbe723;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col8 {\n",
       "            background-color:  #e5e419;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col9 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col11 {\n",
       "            background-color:  #fbe723;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col12 {\n",
       "            background-color:  #26ad81;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col13 {\n",
       "            background-color:  #22a884;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col0 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col1 {\n",
       "            background-color:  #287c8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col2 {\n",
       "            background-color:  #1f9f88;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col3 {\n",
       "            background-color:  #228b8d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col4 {\n",
       "            background-color:  #238a8d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col5 {\n",
       "            background-color:  #31b57b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col6 {\n",
       "            background-color:  #29af7f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col7 {\n",
       "            background-color:  #2fb47c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col8 {\n",
       "            background-color:  #27ad81;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col9 {\n",
       "            background-color:  #23a983;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col10 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col11 {\n",
       "            background-color:  #24aa83;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col12 {\n",
       "            background-color:  #23a983;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col13 {\n",
       "            background-color:  #4cc26c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col0 {\n",
       "            background-color:  #1f9e89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col1 {\n",
       "            background-color:  #1f9e89;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col2 {\n",
       "            background-color:  #1f9f88;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col3 {\n",
       "            background-color:  #aadc32;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col4 {\n",
       "            background-color:  #23a983;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col5 {\n",
       "            background-color:  #fbe723;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col6 {\n",
       "            background-color:  #1f998a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col7 {\n",
       "            background-color:  #f4e61e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col8 {\n",
       "            background-color:  #cde11d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col9 {\n",
       "            background-color:  #d5e21a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col11 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col12 {\n",
       "            background-color:  #2ab07f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col13 {\n",
       "            background-color:  #2db27d;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col0 {\n",
       "            background-color:  #40bd72;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col1 {\n",
       "            background-color:  #1f968b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col2 {\n",
       "            background-color:  #22a785;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col3 {\n",
       "            background-color:  #4ec36b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col4 {\n",
       "            background-color:  #8bd646;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col5 {\n",
       "            background-color:  #c5e021;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col6 {\n",
       "            background-color:  #1f948c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col7 {\n",
       "            background-color:  #c2df23;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col8 {\n",
       "            background-color:  #56c667;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col9 {\n",
       "            background-color:  #2ab07f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col10 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col11 {\n",
       "            background-color:  #7cd250;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col12 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col13 {\n",
       "            background-color:  #1f958b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col0 {\n",
       "            background-color:  #297b8e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col1 {\n",
       "            background-color:  #26828e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col2 {\n",
       "            background-color:  #1f948c;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col3 {\n",
       "            background-color:  #24878e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col4 {\n",
       "            background-color:  #26828e;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col5 {\n",
       "            background-color:  #46c06f;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col6 {\n",
       "            background-color:  #60ca60;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col7 {\n",
       "            background-color:  #6ccd5a;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col8 {\n",
       "            background-color:  #31b57b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col9 {\n",
       "            background-color:  #23a983;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col10 {\n",
       "            background-color:  #44bf70;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col11 {\n",
       "            background-color:  #31b57b;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col12 {\n",
       "            background-color:  #22a884;\n",
       "        }    #T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col13 {\n",
       "            background-color:  #fde725;\n",
       "        }</style>  \n",
       "<table id=\"T_50ad480c_1512_11e9_8118_19682d89fd2c\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"index_name level0\" >feature</th> \n",
       "        <th class=\"col_heading level0 col0\" >AGE</th> \n",
       "        <th class=\"col_heading level0 col1\" >B</th> \n",
       "        <th class=\"col_heading level0 col2\" >CHAS</th> \n",
       "        <th class=\"col_heading level0 col3\" >CRIM</th> \n",
       "        <th class=\"col_heading level0 col4\" >DIS</th> \n",
       "        <th class=\"col_heading level0 col5\" >INDUS</th> \n",
       "        <th class=\"col_heading level0 col6\" >LSTAT</th> \n",
       "        <th class=\"col_heading level0 col7\" >NOX</th> \n",
       "        <th class=\"col_heading level0 col8\" >PTRATIO</th> \n",
       "        <th class=\"col_heading level0 col9\" >RAD</th> \n",
       "        <th class=\"col_heading level0 col10\" >RM</th> \n",
       "        <th class=\"col_heading level0 col11\" >TAX</th> \n",
       "        <th class=\"col_heading level0 col12\" >ZN</th> \n",
       "        <th class=\"col_heading level0 col13\" >target</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >target</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row0\" class=\"row_heading level0 row0\" >AGE</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col0\" class=\"data row0 col0\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col1\" class=\"data row0 col1\" >-0.13</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col2\" class=\"data row0 col2\" >-0.012</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col3\" class=\"data row0 col3\" >0.27</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col4\" class=\"data row0 col4\" >0.53</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col5\" class=\"data row0 col5\" >0.61</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col6\" class=\"data row0 col6\" >0.015</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col7\" class=\"data row0 col7\" >0.66</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col8\" class=\"data row0 col8\" >0.37</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col9\" class=\"data row0 col9\" >0.2</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col10\" class=\"data row0 col10\" >-0.41</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col11\" class=\"data row0 col11\" >0.5</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col12\" class=\"data row0 col12\" >0.32</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow0_col13\" class=\"data row0 col13\" >0.22</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row1\" class=\"row_heading level0 row1\" >B</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col0\" class=\"data row1 col0\" >-0.26</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col1\" class=\"data row1 col1\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col2\" class=\"data row1 col2\" >-0.00062</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col3\" class=\"data row1 col3\" >-0.29</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col4\" class=\"data row1 col4\" >-0.29</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col5\" class=\"data row1 col5\" >0.22</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col6\" class=\"data row1 col6\" >-0.35</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col7\" class=\"data row1 col7\" >0.41</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col8\" class=\"data row1 col8\" >0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col9\" class=\"data row1 col9\" >0.2</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col10\" class=\"data row1 col10\" >-0.46</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col11\" class=\"data row1 col11\" >0.21</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col12\" class=\"data row1 col12\" >0.045</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow1_col13\" class=\"data row1 col13\" >-0.1</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row2\" class=\"row_heading level0 row2\" >CHAS</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col0\" class=\"data row2 col0\" >-0.6</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col1\" class=\"data row2 col1\" >-0.48</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col2\" class=\"data row2 col2\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col3\" class=\"data row2 col3\" >-0.44</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col4\" class=\"data row2 col4\" >-0.38</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col5\" class=\"data row2 col5\" >0.038</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col6\" class=\"data row2 col6\" >-0.48</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col7\" class=\"data row2 col7\" >0.088</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col8\" class=\"data row2 col8\" >0.1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col9\" class=\"data row2 col9\" >-0.01</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col10\" class=\"data row2 col10\" >-0.49</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col11\" class=\"data row2 col11\" >-0.0073</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col12\" class=\"data row2 col12\" >-0.0022</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow2_col13\" class=\"data row2 col13\" >-0.32</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row3\" class=\"row_heading level0 row3\" >CRIM</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col0\" class=\"data row3 col0\" >0.1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col1\" class=\"data row3 col1\" >-0.037</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col2\" class=\"data row3 col2\" >-0.002</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col3\" class=\"data row3 col3\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col4\" class=\"data row3 col4\" >-0.34</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col5\" class=\"data row3 col5\" >0.41</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col6\" class=\"data row3 col6\" >-0.27</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col7\" class=\"data row3 col7\" >0.43</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col8\" class=\"data row3 col8\" >0.38</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col9\" class=\"data row3 col9\" >0.41</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col10\" class=\"data row3 col10\" >-0.37</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col11\" class=\"data row3 col11\" >0.41</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col12\" class=\"data row3 col12\" >0.061</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow3_col13\" class=\"data row3 col13\" >0.29</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row4\" class=\"row_heading level0 row4\" >DIS</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col0\" class=\"data row4 col0\" >0.36</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col1\" class=\"data row4 col1\" >-0.14</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col2\" class=\"data row4 col2\" >-0.014</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col3\" class=\"data row4 col3\" >0.26</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col4\" class=\"data row4 col4\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col5\" class=\"data row4 col5\" >0.82</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col6\" class=\"data row4 col6\" >-0.12</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col7\" class=\"data row4 col7\" >0.84</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col8\" class=\"data row4 col8\" >0.47</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col9\" class=\"data row4 col9\" >0.26</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col10\" class=\"data row4 col10\" >-0.4</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col11\" class=\"data row4 col11\" >0.7</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col12\" class=\"data row4 col12\" >0.57</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow4_col13\" class=\"data row4 col13\" >-0.087</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row5\" class=\"row_heading level0 row5\" >INDUS</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col0\" class=\"data row5 col0\" >0.24</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col1\" class=\"data row5 col1\" >-0.004</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col2\" class=\"data row5 col2\" >-0.012</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col3\" class=\"data row5 col3\" >0.38</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col4\" class=\"data row5 col4\" >0.48</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col5\" class=\"data row5 col5\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col6\" class=\"data row5 col6\" >0.15</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col7\" class=\"data row5 col7\" >0.94</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col8\" class=\"data row5 col8\" >0.66</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col9\" class=\"data row5 col9\" >0.42</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col10\" class=\"data row5 col10\" >-0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col11\" class=\"data row5 col11\" >0.84</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col12\" class=\"data row5 col12\" >0.36</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow5_col13\" class=\"data row5 col13\" >0.24</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row6\" class=\"row_heading level0 row6\" >LSTAT</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col0\" class=\"data row6 col0\" >0.098</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col1\" class=\"data row6 col1\" >-0.041</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col2\" class=\"data row6 col2\" >-0.0088</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col3\" class=\"data row6 col3\" >0.17</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col4\" class=\"data row6 col4\" >0.17</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col5\" class=\"data row6 col5\" >0.44</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col6\" class=\"data row6 col6\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col7\" class=\"data row6 col7\" >0.53</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col8\" class=\"data row6 col8\" >0.28</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col9\" class=\"data row6 col9\" >0.25</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col10\" class=\"data row6 col10\" >0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col11\" class=\"data row6 col11\" >0.36</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col12\" class=\"data row6 col12\" >0.18</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow6_col13\" class=\"data row6 col13\" >0.5</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row7\" class=\"row_heading level0 row7\" >NOX</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col0\" class=\"data row7 col0\" >0.38</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col1\" class=\"data row7 col1\" >-0.033</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col2\" class=\"data row7 col2\" >-0.015</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col3\" class=\"data row7 col3\" >0.48</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col4\" class=\"data row7 col4\" >0.62</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col5\" class=\"data row7 col5\" >0.82</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col6\" class=\"data row7 col6\" >0.011</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col7\" class=\"data row7 col7\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col8\" class=\"data row7 col8\" >0.64</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col9\" class=\"data row7 col9\" >0.45</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col10\" class=\"data row7 col10\" >-0.25</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col11\" class=\"data row7 col11\" >0.72</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col12\" class=\"data row7 col12\" >0.32</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow7_col13\" class=\"data row7 col13\" >0.19</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row8\" class=\"row_heading level0 row8\" >PTRATIO</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col0\" class=\"data row8 col0\" >-0.31</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col1\" class=\"data row8 col1\" >-0.31</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col2\" class=\"data row8 col2\" >-0.0019</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col3\" class=\"data row8 col3\" >-0.042</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col4\" class=\"data row8 col4\" >-0.24</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col5\" class=\"data row8 col5\" >0.84</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col6\" class=\"data row8 col6\" >-0.22</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col7\" class=\"data row8 col7\" >0.86</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col8\" class=\"data row8 col8\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col9\" class=\"data row8 col9\" >0.36</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col10\" class=\"data row8 col10\" >-0.31</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col11\" class=\"data row8 col11\" >0.79</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col12\" class=\"data row8 col12\" >0.29</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow8_col13\" class=\"data row8 col13\" >0.0059</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row9\" class=\"row_heading level0 row9\" >RAD</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col0\" class=\"data row9 col0\" >-0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col1\" class=\"data row9 col1\" >-0.04</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col2\" class=\"data row9 col2\" >-0.0028</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col3\" class=\"data row9 col3\" >0.87</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col4\" class=\"data row9 col4\" >-0.036</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col5\" class=\"data row9 col5\" >0.99</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col6\" class=\"data row9 col6\" >-0.093</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col7\" class=\"data row9 col7\" >0.99</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col8\" class=\"data row9 col8\" >0.91</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col9\" class=\"data row9 col9\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col10\" class=\"data row9 col10\" >-0.35</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col11\" class=\"data row9 col11\" >0.98</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col12\" class=\"data row9 col12\" >0.13</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow9_col13\" class=\"data row9 col13\" >0.082</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row10\" class=\"row_heading level0 row10\" >RM</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col0\" class=\"data row10 col0\" >-0.35</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col1\" class=\"data row10 col1\" >-0.34</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col2\" class=\"data row10 col2\" >-0.0063</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col3\" class=\"data row10 col3\" >-0.2</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col4\" class=\"data row10 col4\" >-0.21</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col5\" class=\"data row10 col5\" >0.21</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col6\" class=\"data row10 col6\" >0.15</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col7\" class=\"data row10 col7\" >0.2</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col8\" class=\"data row10 col8\" >0.13</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col9\" class=\"data row10 col9\" >0.087</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col10\" class=\"data row10 col10\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col11\" class=\"data row10 col11\" >0.098</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col12\" class=\"data row10 col12\" >0.091</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow10_col13\" class=\"data row10 col13\" >0.35</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row11\" class=\"row_heading level0 row11\" >TAX</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col0\" class=\"data row11 col0\" >-0.022</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col1\" class=\"data row11 col1\" >-0.022</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col2\" class=\"data row11 col2\" >-0.01</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col3\" class=\"data row11 col3\" >0.71</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col4\" class=\"data row11 col4\" >0.09</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col5\" class=\"data row11 col5\" >0.98</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col6\" class=\"data row11 col6\" >-0.061</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col7\" class=\"data row11 col7\" >0.96</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col8\" class=\"data row11 col8\" >0.82</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col9\" class=\"data row11 col9\" >0.85</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col10\" class=\"data row11 col10\" >-0.35</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col11\" class=\"data row11 col11\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col12\" class=\"data row11 col12\" >0.16</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow11_col13\" class=\"data row11 col13\" >0.18</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row12\" class=\"row_heading level0 row12\" >ZN</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col0\" class=\"data row12 col0\" >0.23</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col1\" class=\"data row12 col1\" >-0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col2\" class=\"data row12 col2\" >-0.012</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col3\" class=\"data row12 col3\" >0.3</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col4\" class=\"data row12 col4\" >0.56</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col5\" class=\"data row12 col5\" >0.78</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col6\" class=\"data row12 col6\" >-0.21</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col7\" class=\"data row12 col7\" >0.77</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col8\" class=\"data row12 col8\" >0.34</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col9\" class=\"data row12 col9\" >0.083</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col10\" class=\"data row12 col10\" >-0.48</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col11\" class=\"data row12 col11\" >0.51</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col12\" class=\"data row12 col12\" >1</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow12_col13\" class=\"data row12 col13\" >-0.2</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_50ad480c_1512_11e9_8118_19682d89fd2clevel0_row13\" class=\"row_heading level0 row13\" >target</th> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col0\" class=\"data row13 col0\" >-0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col1\" class=\"data row13 col1\" >-0.13</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col2\" class=\"data row13 col2\" >0.025</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col3\" class=\"data row13 col3\" >-0.083</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col4\" class=\"data row13 col4\" >-0.13</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col5\" class=\"data row13 col5\" >0.4</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col6\" class=\"data row13 col6\" >0.51</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col7\" class=\"data row13 col7\" >0.55</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col8\" class=\"data row13 col8\" >0.3</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col9\" class=\"data row13 col9\" >0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col10\" class=\"data row13 col10\" >0.39</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col11\" class=\"data row13 col11\" >0.3</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col12\" class=\"data row13 col12\" >0.19</td> \n",
       "        <td id=\"T_50ad480c_1512_11e9_8118_19682d89fd2crow13_col13\" class=\"data row13 col13\" >1</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8835e54e10>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can also output a DataFrame using style (note - doesn't render on github with colours, look at a local Notebook!)\n",
    "df_results.pivot(index='target', columns='feature', values='score').fillna(1) \\\n",
    ".style.background_gradient(cmap=\"viridis\", low=0.7, axis=1) \\\n",
    ".set_precision(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# We can drill in to some of the discovered relationships"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Boston House Prices dataset\n",
      "===========================\n",
      "\n",
      "Notes\n",
      "------\n",
      "Data Set Characteristics:  \n",
      "\n",
      "    :Number of Instances: 506 \n",
      "\n",
      "    :Number of Attributes: 13 numeric/categorical predictive\n",
      "    \n",
      "    :Median Value (attribute 14) is usually the target\n",
      "\n",
      "    :Attribute Information (in order):\n",
      "        - CRIM     per capita crime rate by town\n",
      "        - ZN       proportion of residential land zoned for lots over 25,000 sq.ft.\n",
      "        - INDUS    proportion of non-retail business acres per town\n",
      "        - CHAS     Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)\n",
      "        - NOX      nitric oxides concentration (parts per 10 million)\n",
      "        - RM       average number of rooms per dwelling\n",
      "        - AGE      proportion of owner-occupied units built prior to 1940\n",
      "        - DIS      weighted distances to five Boston employment centres\n",
      "        - RAD      index of accessibility to radial highways\n",
      "        - TAX      full-value property-tax rate per $10,000\n",
      "        - PTRATIO  pupil-teacher ratio by town\n",
      "        - B        1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n",
      "        - LSTAT    % lower status of the population\n",
      "        - MEDV     Median value of owner-occupied homes in $1000's\n",
      "\n",
      "    :Missing Attribute Values: None\n",
      "\n",
      "    :Creator: Harrison, D. and Rubinfeld, D.L.\n",
      "\n",
      "This is a copy of UCI ML housing dataset.\n",
      "http://archive.ics.uci.edu/ml/datasets/Housing\n",
      "\n",
      "\n",
      "This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.\n",
      "\n",
      "The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic\n",
      "prices and the demand for clean air', J. Environ. Economics & Management,\n",
      "vol.5, 81-102, 1978.   Used in Belsley, Kuh & Welsch, 'Regression diagnostics\n",
      "...', Wiley, 1980.   N.B. Various transformations are used in the table on\n",
      "pages 244-261 of the latter.\n",
      "\n",
      "The Boston house-price data has been used in many machine learning papers that address regression\n",
      "problems.   \n",
      "     \n",
      "**References**\n",
      "\n",
      "   - Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 244-261.\n",
      "   - Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.\n",
      "   - many more! (see http://archive.ics.uci.edu/ml/datasets/Housing)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(example_dataset.DESCR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# NOX (pollution) predicts AGE of properties - lower pollution means more houses built after 1940 than before\n",
    "df.plot(kind=\"scatter\", x=\"NOX\", y=\"AGE\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# NOX (pollution) predicts DIStance, lower pollution means larger distance to places of work\n",
    "df.plot(kind=\"scatter\", x=\"NOX\", y=\"DIS\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# More lower-status people means lower house prices\n",
    "ax = df.plot(kind=\"scatter\", x=\"LSTAT\", y=\"target\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# closer to employment centres means higher proportion of owner-occupied residences built prior to 1940 (i.e. more older houses)\n",
    "ax = df.plot(kind=\"scatter\", x=\"DIS\", y=\"AGE\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Try correlations\n",
    "\n",
    "Correlations can give us a direction and information about linear and rank-based relationships which we won't get from RF."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pearson (linear)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow2_col11 {\n",
       "            background-color:  #481c6e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow2_col12 {\n",
       "            background-color:  #481a6c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow2_col13 {\n",
       "            background-color:  #39558c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col0 {\n",
       "            background-color:  #1f988b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col1 {\n",
       "            background-color:  #440256;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col2 {\n",
       "            background-color:  #3c4f8a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col3 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col4 {\n",
       "            background-color:  #440256;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col5 {\n",
       "            background-color:  #1fa188;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col6 {\n",
       "            background-color:  #23a983;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col7 {\n",
       "            background-color:  #20a386;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col8 {\n",
       "            background-color:  #228d8d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col9 {\n",
       "            background-color:  #52c569;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col10 {\n",
       "            background-color:  #472a7a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col11 {\n",
       "            background-color:  #42be71;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col12 {\n",
       "            background-color:  #472f7d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow3_col13 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col0 {\n",
       "            background-color:  #450559;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col1 {\n",
       "            background-color:  #22a884;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col2 {\n",
       "            background-color:  #2c728e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col3 {\n",
       "            background-color:  #3e4989;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col4 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col5 {\n",
       "            background-color:  #470d60;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col6 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col7 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col8 {\n",
       "            background-color:  #34608d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col9 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col10 {\n",
       "            background-color:  #1e9d89;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col11 {\n",
       "            background-color:  #472e7c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col12 {\n",
       "            background-color:  #81d34d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow4_col13 {\n",
       "            background-color:  #1fa287;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col0 {\n",
       "            background-color:  #75d054;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col1 {\n",
       "            background-color:  #404588;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col2 {\n",
       "            background-color:  #25848e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col3 {\n",
       "            background-color:  #2fb47c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col5 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col6 {\n",
       "            background-color:  #67cc5c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col7 {\n",
       "            background-color:  #a2da37;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col8 {\n",
       "            background-color:  #2cb17e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col9 {\n",
       "            background-color:  #65cb5e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col10 {\n",
       "            background-color:  #423f85;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col11 {\n",
       "            background-color:  #93d741;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col12 {\n",
       "            background-color:  #482576;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow5_col13 {\n",
       "            background-color:  #472e7c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col0 {\n",
       "            background-color:  #69cd5b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col1 {\n",
       "            background-color:  #3f4788;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col2 {\n",
       "            background-color:  #2a768e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col3 {\n",
       "            background-color:  #3dbc74;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col4 {\n",
       "            background-color:  #46307e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col5 {\n",
       "            background-color:  #69cd5b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col6 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col7 {\n",
       "            background-color:  #65cb5e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col8 {\n",
       "            background-color:  #2cb17e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col9 {\n",
       "            background-color:  #46c06f;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col10 {\n",
       "            background-color:  #481b6d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col11 {\n",
       "            background-color:  #56c667;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col12 {\n",
       "            background-color:  #423f85;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow6_col13 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col0 {\n",
       "            background-color:  #9bd93c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col1 {\n",
       "            background-color:  #3e4989;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col2 {\n",
       "            background-color:  #228d8d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col3 {\n",
       "            background-color:  #37b878;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col5 {\n",
       "            background-color:  #a5db36;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col6 {\n",
       "            background-color:  #67cc5c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col7 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col8 {\n",
       "            background-color:  #1f9a8a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col9 {\n",
       "            background-color:  #6ece58;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col10 {\n",
       "            background-color:  #39558c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col11 {\n",
       "            background-color:  #81d34d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col12 {\n",
       "            background-color:  #46327e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow7_col13 {\n",
       "            background-color:  #424186;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col0 {\n",
       "            background-color:  #20928c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col1 {\n",
       "            background-color:  #3e4989;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col2 {\n",
       "            background-color:  #3a538b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col3 {\n",
       "            background-color:  #1f978b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col4 {\n",
       "            background-color:  #433e85;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col5 {\n",
       "            background-color:  #21a685;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col6 {\n",
       "            background-color:  #20a486;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col7 {\n",
       "            background-color:  #24878e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col8 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col9 {\n",
       "            background-color:  #2eb37c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col10 {\n",
       "            background-color:  #482475;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col11 {\n",
       "            background-color:  #2db27d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col12 {\n",
       "            background-color:  #481c6e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow8_col13 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col0 {\n",
       "            background-color:  #2ab07f;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col1 {\n",
       "            background-color:  #470d60;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col2 {\n",
       "            background-color:  #31668e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col3 {\n",
       "            background-color:  #5cc863;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col5 {\n",
       "            background-color:  #52c569;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col6 {\n",
       "            background-color:  #32b67a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col7 {\n",
       "            background-color:  #58c765;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col8 {\n",
       "            background-color:  #2db27d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col9 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col10 {\n",
       "            background-color:  #424086;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col11 {\n",
       "            background-color:  #d8e219;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col12 {\n",
       "            background-color:  #472c7a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow9_col13 {\n",
       "            background-color:  #481c6e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col0 {\n",
       "            background-color:  #3d4d8a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col1 {\n",
       "            background-color:  #24868e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col2 {\n",
       "            background-color:  #26818e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col3 {\n",
       "            background-color:  #3c508b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col4 {\n",
       "            background-color:  #20928c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col5 {\n",
       "            background-color:  #46307e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col6 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col7 {\n",
       "            background-color:  #424186;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col8 {\n",
       "            background-color:  #453781;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col9 {\n",
       "            background-color:  #3b528b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col10 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col11 {\n",
       "            background-color:  #414487;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col12 {\n",
       "            background-color:  #1fa187;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow10_col13 {\n",
       "            background-color:  #81d34d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col0 {\n",
       "            background-color:  #3aba76;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col1 {\n",
       "            background-color:  #481769;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col2 {\n",
       "            background-color:  #31668e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col3 {\n",
       "            background-color:  #50c46a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col5 {\n",
       "            background-color:  #86d549;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col6 {\n",
       "            background-color:  #44bf70;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col7 {\n",
       "            background-color:  #70cf57;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col8 {\n",
       "            background-color:  #2fb47c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col9 {\n",
       "            background-color:  #dae319;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col10 {\n",
       "            background-color:  #453781;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col11 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col12 {\n",
       "            background-color:  #46327e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow11_col13 {\n",
       "            background-color:  #471063;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col0 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col1 {\n",
       "            background-color:  #238a8d;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col2 {\n",
       "            background-color:  #31688e;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col3 {\n",
       "            background-color:  #3d4e8a;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col4 {\n",
       "            background-color:  #73d056;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col5 {\n",
       "            background-color:  #46085c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col6 {\n",
       "            background-color:  #482475;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col7 {\n",
       "            background-color:  #470d60;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col8 {\n",
       "            background-color:  #482979;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col9 {\n",
       "            background-color:  #443983;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col10 {\n",
       "            background-color:  #1f9f88;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col11 {\n",
       "            background-color:  #453882;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col12 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow12_col13 {\n",
       "            background-color:  #21a685;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col0 {\n",
       "            background-color:  #404688;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col1 {\n",
       "            background-color:  #25ac82;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col2 {\n",
       "            background-color:  #1f968b;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col3 {\n",
       "            background-color:  #414487;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col4 {\n",
       "            background-color:  #1fa188;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col5 {\n",
       "            background-color:  #46337f;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col6 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col7 {\n",
       "            background-color:  #433d84;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col8 {\n",
       "            background-color:  #472e7c;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col9 {\n",
       "            background-color:  #404588;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col10 {\n",
       "            background-color:  #8bd646;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col11 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col12 {\n",
       "            background-color:  #29af7f;\n",
       "        }    #T_517fe492_1512_11e9_8118_19682d89fd2crow13_col13 {\n",
       "            background-color:  #fde725;\n",
       "        }</style>  \n",
       "<table id=\"T_517fe492_1512_11e9_8118_19682d89fd2c\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"index_name level0\" >feature</th> \n",
       "        <th class=\"col_heading level0 col0\" >AGE</th> \n",
       "        <th class=\"col_heading level0 col1\" >B</th> \n",
       "        <th class=\"col_heading level0 col2\" >CHAS</th> \n",
       "        <th class=\"col_heading level0 col3\" >CRIM</th> \n",
       "        <th class=\"col_heading level0 col4\" >DIS</th> \n",
       "        <th class=\"col_heading level0 col5\" >INDUS</th> \n",
       "        <th class=\"col_heading level0 col6\" >LSTAT</th> \n",
       "        <th class=\"col_heading level0 col7\" >NOX</th> \n",
       "        <th class=\"col_heading level0 col8\" >PTRATIO</th> \n",
       "        <th class=\"col_heading level0 col9\" >RAD</th> \n",
       "        <th class=\"col_heading level0 col10\" >RM</th> \n",
       "        <th class=\"col_heading level0 col11\" >TAX</th> \n",
       "        <th class=\"col_heading level0 col12\" >ZN</th> \n",
       "        <th class=\"col_heading level0 col13\" >target</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >target</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row0\" class=\"row_heading level0 row0\" >AGE</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col0\" class=\"data row0 col0\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col1\" class=\"data row0 col1\" >-0.27</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col2\" class=\"data row0 col2\" >0.087</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col3\" class=\"data row0 col3\" >0.35</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col4\" class=\"data row0 col4\" >-0.75</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col5\" class=\"data row0 col5\" >0.64</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col6\" class=\"data row0 col6\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col7\" class=\"data row0 col7\" >0.73</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col8\" class=\"data row0 col8\" >0.26</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col9\" class=\"data row0 col9\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col10\" class=\"data row0 col10\" >-0.24</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col11\" class=\"data row0 col11\" >0.51</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col12\" class=\"data row0 col12\" >-0.57</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow0_col13\" class=\"data row0 col13\" >-0.38</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row1\" class=\"row_heading level0 row1\" >B</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col0\" class=\"data row1 col0\" >-0.27</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col1\" class=\"data row1 col1\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col2\" class=\"data row1 col2\" >0.049</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col3\" class=\"data row1 col3\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col4\" class=\"data row1 col4\" >0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col5\" class=\"data row1 col5\" >-0.36</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col6\" class=\"data row1 col6\" >-0.37</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col7\" class=\"data row1 col7\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col8\" class=\"data row1 col8\" >-0.18</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col9\" class=\"data row1 col9\" >-0.44</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col10\" class=\"data row1 col10\" >0.13</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col11\" class=\"data row1 col11\" >-0.44</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col12\" class=\"data row1 col12\" >0.18</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow1_col13\" class=\"data row1 col13\" >0.33</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row2\" class=\"row_heading level0 row2\" >CHAS</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col0\" class=\"data row2 col0\" >0.087</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col1\" class=\"data row2 col1\" >0.049</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col2\" class=\"data row2 col2\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col3\" class=\"data row2 col3\" >-0.055</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col4\" class=\"data row2 col4\" >-0.099</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col5\" class=\"data row2 col5\" >0.063</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col6\" class=\"data row2 col6\" >-0.054</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col7\" class=\"data row2 col7\" >0.091</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col8\" class=\"data row2 col8\" >-0.12</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col9\" class=\"data row2 col9\" >-0.0074</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col10\" class=\"data row2 col10\" >0.091</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col11\" class=\"data row2 col11\" >-0.036</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col12\" class=\"data row2 col12\" >-0.043</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow2_col13\" class=\"data row2 col13\" >0.18</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row3\" class=\"row_heading level0 row3\" >CRIM</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col0\" class=\"data row3 col0\" >0.35</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col1\" class=\"data row3 col1\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col2\" class=\"data row3 col2\" >-0.055</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col3\" class=\"data row3 col3\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col4\" class=\"data row3 col4\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col5\" class=\"data row3 col5\" >0.4</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col6\" class=\"data row3 col6\" >0.45</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col7\" class=\"data row3 col7\" >0.42</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col8\" class=\"data row3 col8\" >0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col9\" class=\"data row3 col9\" >0.62</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col10\" class=\"data row3 col10\" >-0.22</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col11\" class=\"data row3 col11\" >0.58</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col12\" class=\"data row3 col12\" >-0.2</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow3_col13\" class=\"data row3 col13\" >-0.39</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row4\" class=\"row_heading level0 row4\" >DIS</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col0\" class=\"data row4 col0\" >-0.75</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col1\" class=\"data row4 col1\" >0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col2\" class=\"data row4 col2\" >-0.099</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col3\" class=\"data row4 col3\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col4\" class=\"data row4 col4\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col5\" class=\"data row4 col5\" >-0.71</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col6\" class=\"data row4 col6\" >-0.5</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col7\" class=\"data row4 col7\" >-0.77</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col8\" class=\"data row4 col8\" >-0.23</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col9\" class=\"data row4 col9\" >-0.49</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col10\" class=\"data row4 col10\" >0.21</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col11\" class=\"data row4 col11\" >-0.53</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col12\" class=\"data row4 col12\" >0.66</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow4_col13\" class=\"data row4 col13\" >0.25</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row5\" class=\"row_heading level0 row5\" >INDUS</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col0\" class=\"data row5 col0\" >0.64</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col1\" class=\"data row5 col1\" >-0.36</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col2\" class=\"data row5 col2\" >0.063</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col3\" class=\"data row5 col3\" >0.4</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col4\" class=\"data row5 col4\" >-0.71</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col5\" class=\"data row5 col5\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col6\" class=\"data row5 col6\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col7\" class=\"data row5 col7\" >0.76</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col8\" class=\"data row5 col8\" >0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col9\" class=\"data row5 col9\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col10\" class=\"data row5 col10\" >-0.39</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col11\" class=\"data row5 col11\" >0.72</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col12\" class=\"data row5 col12\" >-0.53</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow5_col13\" class=\"data row5 col13\" >-0.48</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row6\" class=\"row_heading level0 row6\" >LSTAT</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col0\" class=\"data row6 col0\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col1\" class=\"data row6 col1\" >-0.37</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col2\" class=\"data row6 col2\" >-0.054</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col3\" class=\"data row6 col3\" >0.45</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col4\" class=\"data row6 col4\" >-0.5</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col5\" class=\"data row6 col5\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col6\" class=\"data row6 col6\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col7\" class=\"data row6 col7\" >0.59</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col8\" class=\"data row6 col8\" >0.37</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col9\" class=\"data row6 col9\" >0.49</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col10\" class=\"data row6 col10\" >-0.61</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col11\" class=\"data row6 col11\" >0.54</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col12\" class=\"data row6 col12\" >-0.41</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow6_col13\" class=\"data row6 col13\" >-0.74</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row7\" class=\"row_heading level0 row7\" >NOX</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col0\" class=\"data row7 col0\" >0.73</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col1\" class=\"data row7 col1\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col2\" class=\"data row7 col2\" >0.091</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col3\" class=\"data row7 col3\" >0.42</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col4\" class=\"data row7 col4\" >-0.77</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col5\" class=\"data row7 col5\" >0.76</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col6\" class=\"data row7 col6\" >0.59</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col7\" class=\"data row7 col7\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col8\" class=\"data row7 col8\" >0.19</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col9\" class=\"data row7 col9\" >0.61</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col10\" class=\"data row7 col10\" >-0.3</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col11\" class=\"data row7 col11\" >0.67</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col12\" class=\"data row7 col12\" >-0.52</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow7_col13\" class=\"data row7 col13\" >-0.43</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row8\" class=\"row_heading level0 row8\" >PTRATIO</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col0\" class=\"data row8 col0\" >0.26</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col1\" class=\"data row8 col1\" >-0.18</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col2\" class=\"data row8 col2\" >-0.12</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col3\" class=\"data row8 col3\" >0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col4\" class=\"data row8 col4\" >-0.23</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col5\" class=\"data row8 col5\" >0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col6\" class=\"data row8 col6\" >0.37</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col7\" class=\"data row8 col7\" >0.19</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col8\" class=\"data row8 col8\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col9\" class=\"data row8 col9\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col10\" class=\"data row8 col10\" >-0.36</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col11\" class=\"data row8 col11\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col12\" class=\"data row8 col12\" >-0.39</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow8_col13\" class=\"data row8 col13\" >-0.51</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row9\" class=\"row_heading level0 row9\" >RAD</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col0\" class=\"data row9 col0\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col1\" class=\"data row9 col1\" >-0.44</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col2\" class=\"data row9 col2\" >-0.0074</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col3\" class=\"data row9 col3\" >0.62</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col4\" class=\"data row9 col4\" >-0.49</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col5\" class=\"data row9 col5\" >0.6</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col6\" class=\"data row9 col6\" >0.49</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col7\" class=\"data row9 col7\" >0.61</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col8\" class=\"data row9 col8\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col9\" class=\"data row9 col9\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col10\" class=\"data row9 col10\" >-0.21</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col11\" class=\"data row9 col11\" >0.91</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col12\" class=\"data row9 col12\" >-0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow9_col13\" class=\"data row9 col13\" >-0.38</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row10\" class=\"row_heading level0 row10\" >RM</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col0\" class=\"data row10 col0\" >-0.24</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col1\" class=\"data row10 col1\" >0.13</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col2\" class=\"data row10 col2\" >0.091</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col3\" class=\"data row10 col3\" >-0.22</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col4\" class=\"data row10 col4\" >0.21</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col5\" class=\"data row10 col5\" >-0.39</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col6\" class=\"data row10 col6\" >-0.61</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col7\" class=\"data row10 col7\" >-0.3</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col8\" class=\"data row10 col8\" >-0.36</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col9\" class=\"data row10 col9\" >-0.21</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col10\" class=\"data row10 col10\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col11\" class=\"data row10 col11\" >-0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col12\" class=\"data row10 col12\" >0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow10_col13\" class=\"data row10 col13\" >0.7</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row11\" class=\"row_heading level0 row11\" >TAX</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col0\" class=\"data row11 col0\" >0.51</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col1\" class=\"data row11 col1\" >-0.44</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col2\" class=\"data row11 col2\" >-0.036</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col3\" class=\"data row11 col3\" >0.58</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col4\" class=\"data row11 col4\" >-0.53</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col5\" class=\"data row11 col5\" >0.72</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col6\" class=\"data row11 col6\" >0.54</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col7\" class=\"data row11 col7\" >0.67</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col8\" class=\"data row11 col8\" >0.46</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col9\" class=\"data row11 col9\" >0.91</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col10\" class=\"data row11 col10\" >-0.29</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col11\" class=\"data row11 col11\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col12\" class=\"data row11 col12\" >-0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow11_col13\" class=\"data row11 col13\" >-0.47</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row12\" class=\"row_heading level0 row12\" >ZN</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col0\" class=\"data row12 col0\" >-0.57</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col1\" class=\"data row12 col1\" >0.18</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col2\" class=\"data row12 col2\" >-0.043</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col3\" class=\"data row12 col3\" >-0.2</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col4\" class=\"data row12 col4\" >0.66</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col5\" class=\"data row12 col5\" >-0.53</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col6\" class=\"data row12 col6\" >-0.41</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col7\" class=\"data row12 col7\" >-0.52</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col8\" class=\"data row12 col8\" >-0.39</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col9\" class=\"data row12 col9\" >-0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col10\" class=\"data row12 col10\" >0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col11\" class=\"data row12 col11\" >-0.31</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col12\" class=\"data row12 col12\" >1</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow12_col13\" class=\"data row12 col13\" >0.36</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_517fe492_1512_11e9_8118_19682d89fd2clevel0_row13\" class=\"row_heading level0 row13\" >target</th> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col0\" class=\"data row13 col0\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col1\" class=\"data row13 col1\" >0.33</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col2\" class=\"data row13 col2\" >0.18</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col3\" class=\"data row13 col3\" >-0.39</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col4\" class=\"data row13 col4\" >0.25</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col5\" class=\"data row13 col5\" >-0.48</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col6\" class=\"data row13 col6\" >-0.74</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col7\" class=\"data row13 col7\" >-0.43</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col8\" class=\"data row13 col8\" >-0.51</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col9\" class=\"data row13 col9\" >-0.38</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col10\" class=\"data row13 col10\" >0.7</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col11\" class=\"data row13 col11\" >-0.47</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col12\" class=\"data row13 col12\" >0.36</td> \n",
       "        <td id=\"T_517fe492_1512_11e9_8118_19682d89fd2crow13_col13\" class=\"data row13 col13\" >1</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f8834146e10>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results = discover.discover(df[cols], classifier_overrides, method='pearson')\n",
    "\n",
    "df_results.pivot(index='target', columns='feature', values='score').fillna(1) \\\n",
    ".style.background_gradient(cmap=\"viridis\", axis=1) \\\n",
    ".set_precision(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spearman (rank-based)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #9bd93c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col6 {\n",
       "            background-color:  #75d054;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col7 {\n",
       "            background-color:  #bade28;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col8 {\n",
       "            background-color:  #40bd72;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col9 {\n",
       "            background-color:  #95d840;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col10 {\n",
       "            background-color:  #3b518b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col11 {\n",
       "            background-color:  #98d83e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col12 {\n",
       "            background-color:  #482475;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow3_col13 {\n",
       "            background-color:  #482677;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col0 {\n",
       "            background-color:  #471063;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col1 {\n",
       "            background-color:  #22a884;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col2 {\n",
       "            background-color:  #277e8e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col3 {\n",
       "            background-color:  #481b6d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col4 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col5 {\n",
       "            background-color:  #48186a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col6 {\n",
       "            background-color:  #443983;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col7 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col8 {\n",
       "            background-color:  #355e8d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col9 {\n",
       "            background-color:  #404588;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col10 {\n",
       "            background-color:  #24aa83;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col11 {\n",
       "            background-color:  #453882;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col12 {\n",
       "            background-color:  #77d153;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow4_col13 {\n",
       "            background-color:  #46c06f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col0 {\n",
       "            background-color:  #86d549;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col1 {\n",
       "            background-color:  #39568c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col2 {\n",
       "            background-color:  #228c8d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col3 {\n",
       "            background-color:  #9bd93c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col5 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col6 {\n",
       "            background-color:  #77d153;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col7 {\n",
       "            background-color:  #b0dd2f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col8 {\n",
       "            background-color:  #3aba76;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col9 {\n",
       "            background-color:  #3fbc73;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col10 {\n",
       "            background-color:  #424186;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col11 {\n",
       "            background-color:  #81d34d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col12 {\n",
       "            background-color:  #48186a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow5_col13 {\n",
       "            background-color:  #482576;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col0 {\n",
       "            background-color:  #84d44b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col1 {\n",
       "            background-color:  #2f6b8e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col2 {\n",
       "            background-color:  #27808e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col3 {\n",
       "            background-color:  #7cd250;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col4 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col5 {\n",
       "            background-color:  #7fd34e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col6 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col7 {\n",
       "            background-color:  #7cd250;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col8 {\n",
       "            background-color:  #4ac16d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col9 {\n",
       "            background-color:  #38b977;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col10 {\n",
       "            background-color:  #482979;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col11 {\n",
       "            background-color:  #5cc863;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col12 {\n",
       "            background-color:  #414287;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow6_col13 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col0 {\n",
       "            background-color:  #b8de29;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col1 {\n",
       "            background-color:  #33628d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col2 {\n",
       "            background-color:  #20928c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col3 {\n",
       "            background-color:  #c0df25;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col5 {\n",
       "            background-color:  #b5de2b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col6 {\n",
       "            background-color:  #7fd34e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col7 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col8 {\n",
       "            background-color:  #3aba76;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col9 {\n",
       "            background-color:  #6ece58;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col10 {\n",
       "            background-color:  #34608d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col11 {\n",
       "            background-color:  #84d44b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col12 {\n",
       "            background-color:  #472e7c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow7_col13 {\n",
       "            background-color:  #443a83;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col0 {\n",
       "            background-color:  #20a486;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col1 {\n",
       "            background-color:  #33628d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col2 {\n",
       "            background-color:  #38588c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col3 {\n",
       "            background-color:  #31b57b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col4 {\n",
       "            background-color:  #463480;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col5 {\n",
       "            background-color:  #2ab07f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col6 {\n",
       "            background-color:  #32b67a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col7 {\n",
       "            background-color:  #24aa83;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col8 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col9 {\n",
       "            background-color:  #1f9f88;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col10 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col11 {\n",
       "            background-color:  #2fb47c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col12 {\n",
       "            background-color:  #481a6c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow8_col13 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col0 {\n",
       "            background-color:  #25ab82;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col1 {\n",
       "            background-color:  #46327e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col2 {\n",
       "            background-color:  #2f6c8e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col3 {\n",
       "            background-color:  #86d549;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col5 {\n",
       "            background-color:  #2ab07f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col6 {\n",
       "            background-color:  #22a785;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col7 {\n",
       "            background-color:  #50c46a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col8 {\n",
       "            background-color:  #1e9b8a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col9 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col10 {\n",
       "            background-color:  #3a548c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col11 {\n",
       "            background-color:  #7cd250;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col12 {\n",
       "            background-color:  #46337f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow9_col13 {\n",
       "            background-color:  #482475;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col0 {\n",
       "            background-color:  #3e4989;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col1 {\n",
       "            background-color:  #277e8e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col2 {\n",
       "            background-color:  #277f8e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col3 {\n",
       "            background-color:  #414487;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col4 {\n",
       "            background-color:  #1e9d89;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col5 {\n",
       "            background-color:  #46307e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col6 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col7 {\n",
       "            background-color:  #414487;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col8 {\n",
       "            background-color:  #414487;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col9 {\n",
       "            background-color:  #31668e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col10 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col11 {\n",
       "            background-color:  #3e4a89;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col12 {\n",
       "            background-color:  #25ab82;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow10_col13 {\n",
       "            background-color:  #6ccd5a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col0 {\n",
       "            background-color:  #42be71;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col1 {\n",
       "            background-color:  #453581;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col2 {\n",
       "            background-color:  #30698e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col3 {\n",
       "            background-color:  #8bd646;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col4 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col5 {\n",
       "            background-color:  #73d056;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col6 {\n",
       "            background-color:  #46c06f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col7 {\n",
       "            background-color:  #6ece58;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col8 {\n",
       "            background-color:  #31b57b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col9 {\n",
       "            background-color:  #84d44b;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col10 {\n",
       "            background-color:  #424186;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col11 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col12 {\n",
       "            background-color:  #472e7c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow11_col13 {\n",
       "            background-color:  #440256;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col0 {\n",
       "            background-color:  #481769;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col1 {\n",
       "            background-color:  #218e8d;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col2 {\n",
       "            background-color:  #2d708e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col3 {\n",
       "            background-color:  #471164;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col4 {\n",
       "            background-color:  #65cb5e;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col5 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col6 {\n",
       "            background-color:  #482173;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col7 {\n",
       "            background-color:  #440256;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col8 {\n",
       "            background-color:  #472a7a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col9 {\n",
       "            background-color:  #3e4989;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col10 {\n",
       "            background-color:  #25ab82;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col11 {\n",
       "            background-color:  #443983;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col12 {\n",
       "            background-color:  #fde725;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow12_col13 {\n",
       "            background-color:  #32b67a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col0 {\n",
       "            background-color:  #443983;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col1 {\n",
       "            background-color:  #1f9f88;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col2 {\n",
       "            background-color:  #1f998a;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col3 {\n",
       "            background-color:  #453781;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col4 {\n",
       "            background-color:  #44bf70;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col5 {\n",
       "            background-color:  #46337f;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col6 {\n",
       "            background-color:  #440154;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col7 {\n",
       "            background-color:  #453781;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col8 {\n",
       "            background-color:  #453882;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col9 {\n",
       "            background-color:  #38588c;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col10 {\n",
       "            background-color:  #7cd250;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col11 {\n",
       "            background-color:  #453781;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col12 {\n",
       "            background-color:  #42be71;\n",
       "        }    #T_5203b880_1512_11e9_8118_19682d89fd2crow13_col13 {\n",
       "            background-color:  #fde725;\n",
       "        }</style>  \n",
       "<table id=\"T_5203b880_1512_11e9_8118_19682d89fd2c\" > \n",
       "<thead>    <tr> \n",
       "        <th class=\"index_name level0\" >feature</th> \n",
       "        <th class=\"col_heading level0 col0\" >AGE</th> \n",
       "        <th class=\"col_heading level0 col1\" >B</th> \n",
       "        <th class=\"col_heading level0 col2\" >CHAS</th> \n",
       "        <th class=\"col_heading level0 col3\" >CRIM</th> \n",
       "        <th class=\"col_heading level0 col4\" >DIS</th> \n",
       "        <th class=\"col_heading level0 col5\" >INDUS</th> \n",
       "        <th class=\"col_heading level0 col6\" >LSTAT</th> \n",
       "        <th class=\"col_heading level0 col7\" >NOX</th> \n",
       "        <th class=\"col_heading level0 col8\" >PTRATIO</th> \n",
       "        <th class=\"col_heading level0 col9\" >RAD</th> \n",
       "        <th class=\"col_heading level0 col10\" >RM</th> \n",
       "        <th class=\"col_heading level0 col11\" >TAX</th> \n",
       "        <th class=\"col_heading level0 col12\" >ZN</th> \n",
       "        <th class=\"col_heading level0 col13\" >target</th> \n",
       "    </tr>    <tr> \n",
       "        <th class=\"index_name level0\" >target</th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "        <th class=\"blank\" ></th> \n",
       "    </tr></thead> \n",
       "<tbody>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row0\" class=\"row_heading level0 row0\" >AGE</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col0\" class=\"data row0 col0\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col1\" class=\"data row0 col1\" >-0.23</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col2\" class=\"data row0 col2\" >0.068</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col3\" class=\"data row0 col3\" >0.7</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col4\" class=\"data row0 col4\" >-0.8</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col5\" class=\"data row0 col5\" >0.68</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col6\" class=\"data row0 col6\" >0.66</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col7\" class=\"data row0 col7\" >0.8</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col8\" class=\"data row0 col8\" >0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col9\" class=\"data row0 col9\" >0.42</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col10\" class=\"data row0 col10\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col11\" class=\"data row0 col11\" >0.53</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col12\" class=\"data row0 col12\" >-0.54</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow0_col13\" class=\"data row0 col13\" >-0.55</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row1\" class=\"row_heading level0 row1\" >B</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col0\" class=\"data row1 col0\" >-0.23</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col1\" class=\"data row1 col1\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col2\" class=\"data row1 col2\" >-0.04</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col3\" class=\"data row1 col3\" >-0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col4\" class=\"data row1 col4\" >0.25</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col5\" class=\"data row1 col5\" >-0.29</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col6\" class=\"data row1 col6\" >-0.21</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col7\" class=\"data row1 col7\" >-0.3</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col8\" class=\"data row1 col8\" >-0.072</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col9\" class=\"data row1 col9\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col10\" class=\"data row1 col10\" >0.054</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col11\" class=\"data row1 col11\" >-0.33</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col12\" class=\"data row1 col12\" >0.16</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow1_col13\" class=\"data row1 col13\" >0.19</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row2\" class=\"row_heading level0 row2\" >CHAS</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col0\" class=\"data row2 col0\" >0.068</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col1\" class=\"data row2 col1\" >-0.04</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col2\" class=\"data row2 col2\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col3\" class=\"data row2 col3\" >0.042</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col4\" class=\"data row2 col4\" >-0.08</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col5\" class=\"data row2 col5\" >0.09</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col6\" class=\"data row2 col6\" >-0.051</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col7\" class=\"data row2 col7\" >0.068</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col8\" class=\"data row2 col8\" >-0.14</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col9\" class=\"data row2 col9\" >0.025</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col10\" class=\"data row2 col10\" >0.059</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col11\" class=\"data row2 col11\" >-0.044</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col12\" class=\"data row2 col12\" >-0.042</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow2_col13\" class=\"data row2 col13\" >0.14</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row3\" class=\"row_heading level0 row3\" >CRIM</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col0\" class=\"data row3 col0\" >0.7</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col1\" class=\"data row3 col1\" >-0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col2\" class=\"data row3 col2\" >0.042</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col3\" class=\"data row3 col3\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col4\" class=\"data row3 col4\" >-0.74</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col5\" class=\"data row3 col5\" >0.74</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col6\" class=\"data row3 col6\" >0.63</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col7\" class=\"data row3 col7\" >0.82</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col8\" class=\"data row3 col8\" >0.46</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col9\" class=\"data row3 col9\" >0.73</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col10\" class=\"data row3 col10\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col11\" class=\"data row3 col11\" >0.73</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col12\" class=\"data row3 col12\" >-0.57</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow3_col13\" class=\"data row3 col13\" >-0.56</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row4\" class=\"row_heading level0 row4\" >DIS</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col0\" class=\"data row4 col0\" >-0.8</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col1\" class=\"data row4 col1\" >0.25</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col2\" class=\"data row4 col2\" >-0.08</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col3\" class=\"data row4 col3\" >-0.74</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col4\" class=\"data row4 col4\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col5\" class=\"data row4 col5\" >-0.76</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col6\" class=\"data row4 col6\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col7\" class=\"data row4 col7\" >-0.88</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col8\" class=\"data row4 col8\" >-0.32</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col9\" class=\"data row4 col9\" >-0.5</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col10\" class=\"data row4 col10\" >0.26</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col11\" class=\"data row4 col11\" >-0.57</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col12\" class=\"data row4 col12\" >0.61</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow4_col13\" class=\"data row4 col13\" >0.45</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row5\" class=\"row_heading level0 row5\" >INDUS</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col0\" class=\"data row5 col0\" >0.68</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col1\" class=\"data row5 col1\" >-0.29</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col2\" class=\"data row5 col2\" >0.09</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col3\" class=\"data row5 col3\" >0.74</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col4\" class=\"data row5 col4\" >-0.76</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col5\" class=\"data row5 col5\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col6\" class=\"data row5 col6\" >0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col7\" class=\"data row5 col7\" >0.79</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col8\" class=\"data row5 col8\" >0.43</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col9\" class=\"data row5 col9\" >0.46</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col10\" class=\"data row5 col10\" >-0.42</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col11\" class=\"data row5 col11\" >0.66</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col12\" class=\"data row5 col12\" >-0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow5_col13\" class=\"data row5 col13\" >-0.58</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row6\" class=\"row_heading level0 row6\" >LSTAT</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col0\" class=\"data row6 col0\" >0.66</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col1\" class=\"data row6 col1\" >-0.21</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col2\" class=\"data row6 col2\" >-0.051</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col3\" class=\"data row6 col3\" >0.63</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col4\" class=\"data row6 col4\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col5\" class=\"data row6 col5\" >0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col6\" class=\"data row6 col6\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col7\" class=\"data row6 col7\" >0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col8\" class=\"data row6 col8\" >0.47</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col9\" class=\"data row6 col9\" >0.39</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col10\" class=\"data row6 col10\" >-0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col11\" class=\"data row6 col11\" >0.53</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col12\" class=\"data row6 col12\" >-0.49</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow6_col13\" class=\"data row6 col13\" >-0.85</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row7\" class=\"row_heading level0 row7\" >NOX</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col0\" class=\"data row7 col0\" >0.8</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col1\" class=\"data row7 col1\" >-0.3</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col2\" class=\"data row7 col2\" >0.068</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col3\" class=\"data row7 col3\" >0.82</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col4\" class=\"data row7 col4\" >-0.88</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col5\" class=\"data row7 col5\" >0.79</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col6\" class=\"data row7 col6\" >0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col7\" class=\"data row7 col7\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col8\" class=\"data row7 col8\" >0.39</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col9\" class=\"data row7 col9\" >0.59</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col10\" class=\"data row7 col10\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col11\" class=\"data row7 col11\" >0.65</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col12\" class=\"data row7 col12\" >-0.63</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow7_col13\" class=\"data row7 col13\" >-0.56</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row8\" class=\"row_heading level0 row8\" >PTRATIO</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col0\" class=\"data row8 col0\" >0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col1\" class=\"data row8 col1\" >-0.072</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col2\" class=\"data row8 col2\" >-0.14</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col3\" class=\"data row8 col3\" >0.46</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col4\" class=\"data row8 col4\" >-0.32</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col5\" class=\"data row8 col5\" >0.43</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col6\" class=\"data row8 col6\" >0.47</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col7\" class=\"data row8 col7\" >0.39</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col8\" class=\"data row8 col8\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col9\" class=\"data row8 col9\" >0.32</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col10\" class=\"data row8 col10\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col11\" class=\"data row8 col11\" >0.45</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col12\" class=\"data row8 col12\" >-0.45</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow8_col13\" class=\"data row8 col13\" >-0.56</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row9\" class=\"row_heading level0 row9\" >RAD</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col0\" class=\"data row9 col0\" >0.42</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col1\" class=\"data row9 col1\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col2\" class=\"data row9 col2\" >0.025</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col3\" class=\"data row9 col3\" >0.73</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col4\" class=\"data row9 col4\" >-0.5</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col5\" class=\"data row9 col5\" >0.46</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col6\" class=\"data row9 col6\" >0.39</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col7\" class=\"data row9 col7\" >0.59</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col8\" class=\"data row9 col8\" >0.32</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col9\" class=\"data row9 col9\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col10\" class=\"data row9 col10\" >-0.11</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col11\" class=\"data row9 col11\" >0.7</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col12\" class=\"data row9 col12\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow9_col13\" class=\"data row9 col13\" >-0.35</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row10\" class=\"row_heading level0 row10\" >RM</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col0\" class=\"data row10 col0\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col1\" class=\"data row10 col1\" >0.054</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col2\" class=\"data row10 col2\" >0.059</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col3\" class=\"data row10 col3\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col4\" class=\"data row10 col4\" >0.26</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col5\" class=\"data row10 col5\" >-0.42</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col6\" class=\"data row10 col6\" >-0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col7\" class=\"data row10 col7\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col8\" class=\"data row10 col8\" >-0.31</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col9\" class=\"data row10 col9\" >-0.11</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col10\" class=\"data row10 col10\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col11\" class=\"data row10 col11\" >-0.27</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col12\" class=\"data row10 col12\" >0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow10_col13\" class=\"data row10 col13\" >0.63</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row11\" class=\"row_heading level0 row11\" >TAX</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col0\" class=\"data row11 col0\" >0.53</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col1\" class=\"data row11 col1\" >-0.33</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col2\" class=\"data row11 col2\" >-0.044</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col3\" class=\"data row11 col3\" >0.73</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col4\" class=\"data row11 col4\" >-0.57</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col5\" class=\"data row11 col5\" >0.66</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col6\" class=\"data row11 col6\" >0.53</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col7\" class=\"data row11 col7\" >0.65</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col8\" class=\"data row11 col8\" >0.45</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col9\" class=\"data row11 col9\" >0.7</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col10\" class=\"data row11 col10\" >-0.27</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col11\" class=\"data row11 col11\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col12\" class=\"data row11 col12\" >-0.37</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow11_col13\" class=\"data row11 col13\" >-0.56</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row12\" class=\"row_heading level0 row12\" >ZN</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col0\" class=\"data row12 col0\" >-0.54</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col1\" class=\"data row12 col1\" >0.16</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col2\" class=\"data row12 col2\" >-0.042</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col3\" class=\"data row12 col3\" >-0.57</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col4\" class=\"data row12 col4\" >0.61</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col5\" class=\"data row12 col5\" >-0.64</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col6\" class=\"data row12 col6\" >-0.49</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col7\" class=\"data row12 col7\" >-0.63</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col8\" class=\"data row12 col8\" >-0.45</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col9\" class=\"data row12 col9\" >-0.28</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col10\" class=\"data row12 col10\" >0.36</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col11\" class=\"data row12 col11\" >-0.37</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col12\" class=\"data row12 col12\" >1</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow12_col13\" class=\"data row12 col13\" >0.44</td> \n",
       "    </tr>    <tr> \n",
       "        <th id=\"T_5203b880_1512_11e9_8118_19682d89fd2clevel0_row13\" class=\"row_heading level0 row13\" >target</th> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col0\" class=\"data row13 col0\" >-0.55</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col1\" class=\"data row13 col1\" >0.19</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col2\" class=\"data row13 col2\" >0.14</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col3\" class=\"data row13 col3\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col4\" class=\"data row13 col4\" >0.45</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col5\" class=\"data row13 col5\" >-0.58</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col6\" class=\"data row13 col6\" >-0.85</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col7\" class=\"data row13 col7\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col8\" class=\"data row13 col8\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col9\" class=\"data row13 col9\" >-0.35</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col10\" class=\"data row13 col10\" >0.63</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col11\" class=\"data row13 col11\" >-0.56</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col12\" class=\"data row13 col12\" >0.44</td> \n",
       "        <td id=\"T_5203b880_1512_11e9_8118_19682d89fd2crow13_col13\" class=\"data row13 col13\" >1</td> \n",
       "    </tr></tbody> \n",
       "</table> "
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f88341d2e10>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results = discover.discover(df[cols], classifier_overrides, method='spearman')\n",
    "\n",
    "df_results.pivot(index='target', columns='feature', values='score').fillna(1) \\\n",
    ".style.background_gradient(cmap=\"viridis\", axis=1) \\\n",
    ".set_precision(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a88bjDR6sdriz3Dry1Ars377Ce2W5mfLMTJ23zo3xzEyd5WYKsPm49VbKvZU2VyerjFcjokB4uNbZccDt5zTNYVtvWOtr029nZetV88RQXxF0B717yy1uL7WIQ2H+Qp3QybHPQPY6W+5+0Gtx+fYGsNHZWmbaznJUoFGNgL3P8vs9TWNn+uY0naWtV01hqAMBDHZF7m67cx1k6qgaBoTOHfiPod+D907HbovHzEmw/NPZM/SBAE5+Re5BPuhH+WMY5LaQlrwzJ8muSs+WPQOBiPxvqvojJ3Uwg3IaZyAH+aAP4o/hKGf1lrwzp8H2uz479rsi+GaKRnHnmi8rd65P1VDhqUHyOFMiez32IB/0fv4xHPWs3haPGTPa9gsEgYhMs3PzOFR1sf+H1F/NTsbdlRaiEASOy5NVouhJsdRug+dBgsNZmk45zlm9Je+MGW37BYJ3Ah9h50CgwFv6fkR91OxkvPzGIqBUo5ALjXjL4Ljb4Nld3LXXAH+YgfeoVxy7PW6n249zVm/JO2NG236B4FOq+u4TOZI+8175wqN1FtcTanHARqdDknkujsWbC8p2GjxbacrdlRa1KNhzgD/owHvUq4bdHrfb7cc9q7fknTGja2gXlKW55/F6QiUOigZtIrx2d4W7y63NBWU7LdRCQZR9F7vs9FihCEDd3ikH7euz3W6Py7KdexV5r33Zo9kWjxkzmvYLBD+9040iUhWRvzGA4+krEeFCPSLNPQ/K3cJuzDzZ4hF4avC8OlUjKM+oYfdVvNsH3vVORpJ57iy3NpvCHXUF5W6PS7zf8/m6Z/U3ZurMz9St/NOMFGtid3R7Tg2p6s91/y0iAfAXgfcDfwn4I+DfDvLgjiMKHHMTFRbXO1QiRyMOeNv0OGPlSt6kk5HmfscpkcvlyuP95su7j03zIgBUtu1Idn2qdqTpmt2meWL39JaY25/PSvLMKDpLhRvn0b4LykTka4G/BfxV4E8o9iJ+VlWbAz62Y3FOuDRR5eFqpzi7d8JMPSLJPPdXWiSZEgWOK1M1qlGwZfA8zHy5c4LT4ue9Z+qdLEMF5sYr3F1ugeSEzh1ouqY3edtOUlTg6mSNMHSW1DVmG1sHc3z7LSi7DdwCfgb4h6q6JiJfOEgQEJEbwM8DlwEPvKSqPy0iM8AvAzcpNq//TlVdOtZvsYNu47ebF+s4EVpJxt2VNo/XEqLI7dtz6DBn1rudwaeZ5+Fah+6+NHPjlQOfpVSj4EkQAR6udbjs5Fwmda11hRkkWwdzfPvlCH4NuAb8TeCviUiDzb229pUBP6iqXwR8NfC9IvLFwA8BH1LV54APld/3XffDEYcBYeAYr8VcHIuZHIu4MV3Mn/ez6+GFsZhO5jdzDd0S1CgQxmoRtSgoSlIPOH/pvfJwrUMtDmhUQgTl7nJrMzF8XpK6/dpQx5jd2CZKx7dnIFDV76c4c/9J4OuBzwCzIvKdIjK2z2PvqepHy3+vAa9RBJVvBT5Y3u2DwLcd5xfYzfYPx0Y75dF6wsp6yptLxYDUjw9Md6BbKM/8Z8crzM/UiUK3JbHrnJBkOWl5PPvpBrLMFwHgwVqHO0stNpLsyMfaD4dJyB21asqYw+hHxdyo2zdHoKoK/D7w+yISUbSdeD/wfwAXD/IiInITeDfwYeCSqt4rn/ueiMzt8pgXgRcB5ufnD/IyW/TOs7fSlPsrba5N1QgDx/2VFrceN7k+XePKVO1YG8Bvn5t8vJ7QmAk3A1GS5SSZ5+FamyxnS15iL93gdH+lRSUMCIJiAdyjtQ6NODyVD/lhE3J2yW5OynmcMj1L9rwiEJGf6/1eVVNV/Xeq+reAGwd5gfLK4deAH1DV1YMemKq+pKovqOoLs7OzB33YFt0Px9WpGlcmqoxVo+K2Cw0uTVS4eoABudf2s+HuQOdc2dG03IQ+L2+bqke8/qjJR95Y4sFKh0sTFeKydHW/s2LnhNnxCkmmJLkn88qVqRpavu5JO8rZvV2ym5N0nqZMz5r9rgi+bLcfqGprvycvryB+DfgFVf318uYHInKlvBq4Ajw88NEeUfcMoZvM9b7IHUTBwdfT7XQ2HAeONPMsrLUREVSVqVpMILKZrL42VSV0UAkD1joZ47UIn/kDnRU34pDr0zVEisd7VVQ5lYH0KGf31rrCmPNhv0BQF5F3s3vTuY/u9kAREeADwGuq+pM9P/ot4LuBf1p+/c1DHfEh9A7eaeZJcr+5b/BBBqRutYsoO5anXZ+qgYAqSPm1+0717lIWhUGRI8g9SZof+KzYOeHKVK2c3spPdSA9agsLu2Q35uzbLxBcA36C3ZvOvW+Px74X+NvAJ0TklfK2H6EIAL8iIt9DUZo6kBXK3amMwEEkjigQOpkvSjjDgDDc+2qgG0QyXwzeqffMjdeAJ2fDiS8CyzMXGpsDXatcUbw5cHrPZC3k3koLVSFXuDp18MH8rAykxzm7t0Vuxpxt+wWCP1fVvQb7XanqH7PLlQTwDUd5zsPIVWklGetJRlpOxSSpbk4L7ZXo7AYR7z0PVtvcX26xsN7hnZcneHZ2jNDJlpW+XovFab1nyd0cwcfeWGJhvagoettcg8sTh1/xeFYG0rMSlIwx/TW0W1WKwr2VNiutBICHK00a1Zi3zNYJHHuuPMxVybxnaSNhpZUx3agQOMdis4M8EuZn6lyZ2nulr/fK0kZCNXK8ZbaBo5gaur/a5uaFxrkdRM9KUDLG9M9+geAf935TJn/fBdxR1YEneY8jV2WtnfLZB+ssrrd5sNphoh4TBsL8hQbTtXjXRGcgAlrsZ6De41VoVEPGKiGT1ZCrUzUq5Vl971myKKg8yS10smLxVBwGxTRRomT5wRLFu7FVusaYftsvEPzXInJHVV8VkUngPwE5MCMi/0BVf3Hwh3g0WdkJNHBKLQqphgntTkozyVlY7ZDlynNz4zs+1jlhZizm428us7DeoR4HPHuxjhOoxuFT1UbOCUnqt1QVTVRDHq0lLKx3qLZSpupRWWoaH6rqp3fgT3JvjbWMMX23X/3k16jqq+W//y7wGVX9UuArgX800CM7JhVI8oxX76zwnx+s8biZIk5I82Jgna5H6C7jsffKaivjy29M8iVXJmjEAQ9WEyaqEVenioRx73qC7TX2gcCn7q1yebLC3ESF1VbKx99cptXJyX2xLuAgetszvP54gzceb9gqXWNM3+13RZD0/PubKNtOq+p9OeOLgpIs5/VHTVqdjEwh855OkjNVD7k0XqFRiXY9M++Wfo7XYhrViJsXG6x1Um7M1PFeubXS3HJWHpQLycLgyV7HSZoTBq7IQwCXJys8e3GcYI9Gd722r1puJxl3VjtMzBVttG2VrjGmX/YLBMsi8i3AHYpy0O8BEJEQqA342I7Me+X2YpNK6KjEEUk7IUmVJFaqYcjFsSpX92gtsb1mPsk9ixspkSt6/lydrFKrhCRpzt3lFvPTRYfT9XbKUjNltd3hswvrIEo9juhknrFqvLnq8SAD+PYFXHE5BdTJcmpxaKt0jTF9s18g+PvAv6BoJf0Dqnq/vP0bgP9nkAd2HLkqXpRmmnNpvMIzF+qsNNt4HF8xP8mVycae6wi27wdwd6XNpfGYShzgBO6ttolDhyp0Us/seIW58QofvbWEAzY6nrfPTbCRZsSh5/FGUmxS021FcYTNabwvOpqqwkbHVukaMwpOqjhkvx3KPkPRZG777f9BRL5oYEd1TIEIsQu4Nl7n9aU17q95ktRzbbrKp+6v00yVZy40dky0dt/4uJzWWW4l3F5usdzOkHaGV3i01ub6dLGfQeKUhyttrs/UuTxZJXSCilINA+LIcX2qxnQ9BieHGsB3WsD1zMUGceCsasiYEXCSu64dZx3B/wz8834dSD85J1yfriPiabUyNrIcVahFITP1iKWNhLhcEdw7mG5/4+fGK6w0UyqhIy4rhdbbKUmuNNOMlWbGdD3i7kqbi+MVnAgrGwmfvreGeghCmKqGNKox16dqqHCoAXy3BVyWEzBmuJ30rmsH77r2tDM9GgUiIMJEPSQOHaLwcL1DJ8txTkjLev6unbpr3l1pkWvR9TMrq30C53jnpTGcCNena4xVI+JQuLvcYqOV8Mefe0QnywgCYTyO+PSDdS42YsLQHakzonVUNGb0PMkRPtn+tl+baO3kOFcEZ7puse1zOpnn8tQYE7WM9U7KWivl9uMm8xfHiIIiOKS5JxDZsbumJDkKhE64NlWjlWRkNWV2vMIn76ySeiVwMDdR5fMPi+Rw4BxjlZDxasiNmTqrrRQX2CBujDm4ozZ5PKr99ixeY+cBXzjDVUMAVRcwUYtYaSZUY8ejtZwkh7vLbd5xZYLpRszt5daWaaAtlUJZvrnP8MO1Dp08Z2kj5UIjZrmZcnEsph4HxFFR2rnYTLg5XWesEuJEWG1ltNOMMHCEyGbAOciZva0eNma0nXQL9/2SxTsvvT0HapWQr3xmhn/3sdsstlPUe770+gTXLhQ9gpY2EuLQ4ZwjSXPur7a5PFHl4VqH1VaHxxsJ49WQP7vTZqoa8ngjYW6iwlQ9xmsxTZQrtJKcLFem6hHihGdn6/z5gw3WOintrMoXX5nk7urBEz4nmSAyxpxdJ9nkcWibzgFUY8fcZMyjjZRGJWCsGjI/0+DRWkI0Wcy7P1ptk3vdLAO9PlXj9cUNbkzVWNhIqIaOpWbKo42ElXbG5cmcSxNVosBxrSwJ7SQ5d5Za3F5q4pxjfrrO9HjEO2cnuL/eOXDC56QTRMaYs+2kmjweJ1l8pnXSnNfuruE9NOKAOHCsNlMEcOU8293lJuqVyAlRIDxa6xQLvUQIys3n4zDgcTOhEjoCKd6we8sthGL/4UCERxsJ8xfqXJ2uM10PCUPH2+cmCCJ3qITPSSeIjDEGhviKoJPlfPb+Kq0sx6MsrmestXNeSBLmp8aZqkd84s7K5mD+jivjm8kQJ4L6IiA0kxQnwoWxmMcbCZkqaa5cHK8A0M5y8twzVouox2HRdTTJiUJ34IRP705oJ5kgMsYYGOJA0EoyHqwlhAEECFEkqAoX6hVuzNS5v1psNRkFjsAJi+vJ5pRPN0nTqAQ8XstpxEUC+EuuTuKAvNw3+NZik8wXewxcERirRvhcCcrgcpCEz/acwFQ9YrmZ2h6/xpgTM5SBwHvl8UbChUbEvdUmeQ4eePtcnbdcHCcq20tcna7zaL1D6p+c5TsnVN2TJM1zs9DKchbWOqiCinB5oqgkigKhFkc44O5KmysKQRlIuoP3XgmfnXICy830SIvPjDHmqAYWCETkZ4FvAR6q6rvK234U+HvAQnm3H1HV3+n3a+equECohELkhDgMyNKcWhQSi9ts3Rw64epUjSTNyRVqYbClzLObpBkPHY1y2menNQeNasRl4MpUjWpY3LblebYlfLpTQd4/vXahk2WoFPkH7/VQZafGGHMUg7wi+Dngfwd+ftvtP6WqPz7A1y3m1D1Uw4DIBSSZEjohDoXXlzaoxiFp7kkzTxQW+w7PNKIt6wq2l206VzznbnP5oXNUw2DfzWN6p4KgCBg75QSsjNQYc1IGFghU9T+KyM1BPf9enBNmJyostjJmGiFBGFJxyq3FJqqeRqVo45xknqtTNQIRbi+3iALZXFdwe6nJjen6ZnuH7QPzRDVkcSMByQldMR0E7Fn+udNUUJoVx9HJ/ObCtjT33F1uUQmdlZEaYwbuNHIE3ycifwd4GfhBVV0axIsIQj10fPrBOuvtjNwr040KH7+9ygs3QybrcTH4OkEBr0rm4dFqm1ZSDPqtJGO8Gm+uLu4O4OvtlE/dW+XSeAUpB+9qVEwr7TTV0917YKc2FlHoNvdGSDPPw7UOSZbzYLXD/IU6YWCb0ByHrdI2Zn8nvY7gZ4C3As8D94Cf2O2OIvKiiLwsIi8vLCzsdrcdea88XG+z0klAFREQ58nznJVWh0/dW6WdZJvTMN3yzLvLTfLcs9Iq1g20U0/g4O5yi7xnX4ClZkogQr0SUosCHq518F63lIsCT5V/7vbzbglrN9iMV6NyK8piqsrKSI+md6vPW4tN2ml+2odkzJl0ooFAVR+oaq6qHvhXwHv2uO9LqvqCqr4wOzt7qNfJVXm01mKx3Dz+0XpKkgKzShNFAAAXIklEQVQiLDVT3ni0zsJ6u+gvVCZzG3HAG4+LvYHvLDWZacQo5eIzKfZAzsqOpUmWE0fFlFHvoq9uuWiaKxudjDTXLRVEO/18brxCrtpzNVE875WpGkmmrLXSp57H7G+nbrK2x7MxOzvRqSERuaKq98pvvx345CBeR3PlC49arLVS1CuiOYvrCbU4YLwaEAYBa62M+6ttrk7V8F757IN1RJWVTkqeK5++t8Lbr0wUg7Nzm9NDee7xCpPVEO+VTLeere/XH6T3592poJ0Sx6Er2lxfLdc6WBA4nJ2m4Wx6zZidDbJ89BeBrwMuisht4H8Bvk5EnqfoaPo6xVaYfZehVAKhkyvihDAKIfe0kowkhedvTFKJAgJ5Mu3jBKIooLXWoZ15tJVyaSIjmyr2I6hGAfNRQK7K9FjMp+6ukvs2gRPedW1yy0C9X3+QbgXSnbXOnonjK1M1KlYpdCQn3cbXmPNskFVD79/h5g8M6vV6hQid1DMzVqESxDRTz9IGzI3XmBuPicNiNXEcBay10uKMXGC1lXF1qkazkzNRC6lXHJcnnpRtdgfw1VbGMzN1xBWtKJabKRPV6FBn7fslji25eTwn3cbXmPNsKJvOSSC8dW6c0MGbi20erLWpRhFXphtU4pB7y21m6jHeF3PylTBguhaRe08rKXYwuzRZJQqCpwaO7gAeRwFR4Iij4EiN4fZKHA9iKqi7OG2U5si703A3ZurMz9RtHYYxuxjKFhOisNJOaNRC4jVHlheJ3LfM1vjS65PcXW7TKTeemR2vEIjwYLXNjQt11popM40YFOYmKkTB1li525RD725nBxnE9zpj7XfJ4ygvTjupNr7GnGdDGQjS3LOw2iHPYLIe4drFgLDUzLm/3AKETlpsaL+w1sGJcGmiylg15FN3V8m8J/NwaeLpqYSdBvCp+t6rknezU2J5+6A9N1550sn0CEHB9jgwxuxnKANBrkruc+6ttljZaIMKqW/zCsKNmRrXp+t84VGTmbGI5+aKyqAHq20UeMtsAyimahY3kh3n/nsHcFE2VyUfZaDtPWPdPmhvtFM+emuJKxPVzWZ2hz2Tt+oZY8x+hjJHEDvHepJxf2mD1U7KepKiKiw1E+bGKkxUY6JAWG5mJGkxRdTJcrKyNPThWocHax1uPd5grZ3u+BrOFfP5KvRtM5nejWm8KkutFCdQiYMj18Hvt8jNGGOGMhDkqqRpWTqqAapCmue00ow3lzdIfdFaopXk3F1pcevxBgtrCan33F9pkeWepY2EpWbKJ26v0Oxku75WPwfa3ufyXklSTxwGBCJHDjD7LXIzxpihDARp7hFxTNaiInNMMec/FoestjLeXGxSDR2qiipUooBrU1XwxWb0D1aLvQfmL9QJnHB3ubXrmXg/B9re52qlebFmoV5MTR0nwFj1jDFmL0OZI4gCRxTCRsez0vbFYB8qjVrRNmK1lXJjqsrFaxPMNMo2EyJ4YG68QuBgslYpy0QdCHvOqe+3mngv2yuEep/r6mSNh2sdNjrHr4O36hljzG6GMhCIwmo7JxDl4nhImuWA0izbR7SSlMWNhHqqxIFjohaT+WJPgcszVRabKRudjDhyTNcinHNbzsR3Ku88ykC7W1ln97miwG2uZrYFZsaYQRnKQNBRz8xYzEyjwlIzxTvY6GS0soz1dsaFRpXFVkroAj5xZ5W58QqXJqs8c6FBNQr4ivlp7i63QMC5rVtP9qsm/6BlnXYmb4wZtKEMBLUgYLwS4oWi6iYQNoCKBFyfqVGNHLcWW9ycqVONK8yOVQgDR1xW/tQrIW+ZHSMtE8DdRWX9rMm3sk5jzFkxlMniOA74qmemqYQBYSCowETV4Z1wZ7HJeienGjgW1js83khZbmd0snxLRU6Se+6ttHlzqcnnHq6x0ky2tIqG45WKWlmnMeasGMorAoDLk3WuTVVpJQnOBWSZIw6EehyS5mU5qApXpqv43PNoLeG5ctuD7pm/954Hq20errTJb6/wRVfGn+xRfMyOltYUzRhzVgxtIAgR2qmSZZBpQDNpk6uykSTcnB3n+nSNNFfuLDZBhPFKRCvLGQ8duSqZL9YSrLQyJusxrTRnuexD1Nsq+jiD93GqjYwxpl+GNhA0fc5YLWJqLObO4xbVOKAeRzTimNR76nHA5xY2CJwjcBAF8GitQyMOizN8LRLD3bE5Dh1BIARO+toq2pLBxpjTNpQ5AoCKODppjs89lUjwCknmqcYh0/WILPOgxQAvyOZ+xN0tJ69O1RCK1cedLGeiGqJlLiAo20XbGbwxZhgMbSAIA8dE7Gh2MlKvhCJcna5yYSwmdgGNasT1mToXGzFXp2pk3pOjm+2kq1HAVzwzzTsujVGPQ9bbGa2k2LP49nLLNkI3xgyNoZ0aurvS5NZSm2aqoEouykYz48Fqwte8bY5M4ULguL/W5vZSi9R7JqoRn3u0Xpztl/P/77wyybNpzpvLTSrOEYQOLZPJ1srZGDMMBnZFICI/KyIPReSTPbfNiMjvichny6/Tg3jtJMn5vdfuc3dpg2aa8Wg9ZXkjpe1z3j0/QaZFKwlEyDLl4njMV85P08k8i+sdQicEAvdX2gCEoSP3ysJGwt3lFg/WOrTS7Ehlo8YcxCjuKGdOzyCnhn4O+OZtt/0Q8CFVfQ74UPl93620El69u4r3nuWNYsP6VgdqgfBgJSHNcqLQcW2qxuXJKm+dHacSBaS5srCecGepuWWwF4XH6wmoUo9DUOXxelL0szOmz9ppzq3FJm8uNrm12LRpSDNwAwsEqvofgcVtN38r8MHy3x8Evm0Qr+1R1lopj9dTypwwicLD9YSVTrJZrhkFjjgsVginuefRWhsn0KhGWwZ7FbjQiBEnNJMMccKFRozarJDps97V641KeOR9KIw5jJPOEVxS1XsAqnpPROYG8SL1KKQaOjZS6G4rEwN57llZT7g6Wduc25+qR3zyzgqdLKeVeq7UY9ppTtAz2Aci1OKQsWpYdClVJffsu5Cs33sPm+FnrUfMaTizyWIReRF4EWB+fv7Qj89zT+92MilF24jnLk9QqxS/tvfKcjPlmQt1AOpxgCpcmagWrafLwb53FXCqB1tINsobxpuj6209ctzV68Yc1EmXjz4QkSsA5deHu91RVV9S1RdU9YXZ2dlDvchaO+HOcntLlFNgohqy1krRvLjM7p59xWFAHAZcnaqTe4pNYTxbBvvDbO5il/fmqGxHOXMaTvqK4LeA7wb+afn1NwfxIq0sY7WdsH234XaSU4sDMpSYp8++Qidcm65xbaq244Kxg64Ctst7cxzWesSctEGWj/4i8J+Ad4jIbRH5HooA8E0i8lngm8rv+y5yjsQ/XWnhVREpNreHnc++rk7VqJSbwxxWt+RPFOssao7FOVu9bk7OwK4IVPX9u/zoGwb1ml1OhMgJxYTQE41KyJdemSQMn8S/fp19bc8JTNUjlpupdRY1xpx5ZzZZfBzFmXiAkG2GAgd82Y0pbsyMPXX/4zZ+22nDmuVmyvWp2mbVkQUBY8xZNZS9htSBSpEHiMvbKgJvvzxOSv8Ttk9yAls3rFHBLu+NMWfeUAaCwAuxOGoRRCHUgDiCVOH2UrPv1Tu225gx5jwbzkAQOsZqIVkOrQxagHOw0c55faG5uRdxv1jJnzHmPBvKHEEoxe5kQQCuHPN9DnEovLG4TpZdpHKAxV3bVwbvtVLYSv6MMefVUAaCls8JRUDAU/zXSeG1e6u859m5A/UI2q0KaK+VwrbbmDHmPBrKqaFQhdR7WsmTAtIcuPN4nczniLJnnmD7yuDAwSfvrBAItlLYGDN0hjMQOIfiSdgaCFpJTjvxvLm8d3vfbhWQc08SwLlXpJzu6VYF2X4ExphhMJRTQx2fF5U7FNNClF9VIfeeWhwQOtl1l7FAhDTzLKy1ERFyX2wQkucegc3pIasKMsYMg6EMBHnuUYWqg5Z/clUwXou21Prv2f9HisBRpBqEsVrAm4utIhnshHddm7SEsDFmKAxlIKhEIZPVCo9Wm5tBIKaY36/FAejetf65KlHgeOZCo9ihDPj8wgbXpqrEUYCW7asnqpEFA2PMuTeUOYJGFKIoSc9tKZBkwmor5TMP11htpbvW+ncXiPkyIHTzBLU4LHY1iwLLERhjhsZQBoL1JKWTbU0EK8U+BVNjMaETFtY7u1b9bF8glivMTVTw5cBvK4eNMcNkKKeGOllOs/10V6HFVgJeuTBWZb2dcnelxVsuju14VbB9gViSe+6vtK2bqDFm6AxlIKhGAcjTZ/uCEpWb1cdhgCh7bhbTu0Cs6mzlsDFmOA3l1BAIk9XoqVsDCbm/3GS9nTFdjwgCd6jpHdssxBgzjIYyEAROUBdu+eUcMDsWgDg6abFPgU3vGGPMkAYCckA9vT1GHaDimB0vdijQHRLF3a0mrXWEMWaUnEqOQEReB9YohuxMVV/o5/N3yFnv5PRuVqlAPRTqccjUWIVqHGxZWby9ydxOTeWMMWYYnWay+OtV9dEgnjhNclKfEwEZRXuJHGgmnnoUMjdeJQ6DsjRUwfPUVpO7tZ8wxphhM5RTQ+IEj5LClumh+YsN2llOGMiWtQC7bTVpC8aMMaPgtAKBAv+viHxERF7s95NHoSNS2bKOwAFjtYhmkrO81tmyi5htNWmMGWWnFQjeq6pfAfxl4HtF5Gu330FEXhSRl0Xk5YWFhcM9uwfZdjbvgT99Y4lmOyEIHXPjlc0cgG01aYwZZacSCFT1bvn1IfAbwHt2uM9LqvqCqr4wOzt7qOfP1NPaYauBJMnAOWpxwMO1rS0muiuJb8zUmZ+pW6LYGDMyTjwQiEhDRMa7/wb+IvDJfr5GJ8lxAU+tF56bqJJ7xXvdMQdgC8aMMaPoNKqGLgG/IcX8ewj8X6r6u/18gWocUo1Cola2pQPpdC0iCorOoYE73KpiY4wZViceCFT188CXD/I1JmoxF+pVltfXyX1ROloTcA4uT1YQKXIE3dLRg14BeK/Wa8gYM3SGsukcCPMzVd5cXCfw4HOYGndUgpAvuzbF3ES1yBEcYvGYLTgzxgyroVxHEDqhmXoCV+5VLJCrMDdeYbWVcnu5SSDFjmVRUOxdvFdbCe91c8HZQR9jjDHnxVAGgjT3JApOIA4gjkA9tJKcO6st3lxs8mCtQzvN91085r3SznLy3NuCM2PMUBrOQOA95HmxpSSQZZChNHOPE5ioRaDKwlqHJM13XTzWTnNuLTa5u9zi3mqb9XYKsLnwzJcVSMYYc54NZY4gFsdGkrPezjenhkQVUaUahlwcq7C4kbDezujUI65PP91TqHc6qBZHOODuSpsrCplXELiz3LJ8gTHm3BvKK4JEPYoSBSAiBAKxC3ju0gSBCHFQVA1dm6pxc6ax4yC+vf9QoxpxebLKpckqcegYq4SWLzDGDIWhvCLIco8jYH6mQeqVPPckGcxOVlGEVpoTOsf1mTphuHMs7O0/FAau+OocUeBQ2JIv6GTZnlteGmPMWTaUgaBRibg2U2WlmdJOM5ZTT70SEgUBX3J1gvFatO9agG7/oe0b1keBeypAWIM6Y8x5NpSBYKIa8/XvuMSffuERixspF8cqvPuZGb782hSr7YypenygBWHd/kPbF5HtFCBsgZkx5rwaykAQho73PjdLK825vdRiph7xF946S70ald1FPU7lQCuEnZOnpnx2CxDGGHMeDWUg8F5pp573PneRu0ttwgA6mSdJczppzhuLGwQIQeCOXPGzU4AwxpjzaCirhroVP/U4KhLCQbEt5Uor4d5Km0drHZZaKbn3VvFjjBl5Q3lF0FvxU40C5sYrjFdCVJVaFDBei8hyz1IzZboWWcWPMWakDeUVwfYdx3IPV6ZqBIEjjtxmxU+S5ahgFT/GmJE2lFcE8HRCFyB0julaxFIrpdVK8QpXJ2uW7DXGjLShDQTwdEK3W/Y5WYugClenatQrQ/0WGGPMvkZqFLSyT2OMedpIBQKwsk9jjNluKJPFxhhjDu5UAoGIfLOI/GcR+XMR+aHTOAZjjDGFEw8EIhIA/xL4y8AXA+8XkS8+6eMwxhhTOI0rgvcAf66qn1fVBPgl4FtP4TiMMcZwOoHgGvBmz/e3y9u2EJEXReRlEXl5YWHhxA7OGGNGzWlUDe1UsvNUsx9VfQl4CUBEFkTkjSO+3kXg0REfO6zsPdnK3o+t7P142nl9T545yJ1OIxDcBm70fH8duLvXA1R19qgvJiIvq+oLR338MLL3ZCt7P7ay9+Npw/6enMbU0J8Cz4nIsyISA98F/NYpHIcxxhhO4YpAVTMR+T7gPwAB8LOq+upJH4cxxpjCqawsVtXfAX7nhF7upRN6nfPE3pOt7P3Yyt6Ppw31eyKqtimLMcaMMmsxYYwxI26oA8Got7IQkRsi8gci8pqIvCoi31/ePiMivyciny2/Tp/2sZ4kEQlE5GMi8tvl98+KyIfL9+OXyyKGkSEiUyLyqyLy6fKz8hdG+TMiIv9T+ffySRH5RRGpDvtnZGgDgbWyACADflBVvwj4auB7y/fgh4APqepzwIfK70fJ9wOv9Xz/z4CfKt+PJeB7TuWoTs9PA7+rqu8EvpzivRnJz4iIXAP+R+AFVX0XRUHLdzHkn5GhDQRYKwtU9Z6qfrT89xrFH/g1ivfhg+XdPgh82+kc4ckTkevAXwX+dfm9AO8DfrW8y6i9HxPA1wIfAFDVRFWXGeHPCEURTU1EQqAO3GPIPyPDHAgO1MpiVIjITeDdwIeBS6p6D4pgAcyd3pGduH8O/CPAl99fAJZVNSu/H7XPyVuABeDflNNl/1pEGozoZ0RV7wA/DtyiCAArwEcY8s/IMAeCA7WyGAUiMgb8GvADqrp62sdzWkTkW4CHqvqR3pt3uOsofU5C4CuAn1HVdwMbjMg00E7KXMi3As8CV4EGxfTydkP1GRnmQHDoVhbDSEQiiiDwC6r66+XND0TkSvnzK8DD0zq+E/Ze4K+LyOsUU4Xvo7hCmCqnAWD0Pie3gduq+uHy+1+lCAyj+hn5RuALqrqgqinw68B/yZB/RoY5EIx8K4ty/vsDwGuq+pM9P/ot4LvLf3838JsnfWynQVV/WFWvq+pNis/D76vqfwP8AfAd5d1G5v0AUNX7wJsi8o7ypm8APsWIfkYopoS+WkTq5d9P9/0Y6s/IUC8oE5G/QnHG121l8U9O+ZBOlIj8V8AfAZ/gyZz4j1DkCX4FmKf44P8NVV08lYM8JSLydcA/UNVvEZG3UFwhzAAfA/5bVe2c5vGdJBF5niJ5HgOfB/4uxUniSH5GROTHgL9JUXX3MeC/p8gJDO1nZKgDgTHGmP0N89SQMcaYA7BAYIwxI84CgTHGjDgLBMYYM+IsEBhjzIizQGDMNiJyWUR+SUQ+JyKfEpHfEZG3i0hLRF4pb/v5crEeIvJ1PZ1M/zsRURH5hp7n+/bytu/Y7TWNOU0WCIzpUS4i+g3gD1X1rar6xRRrLy4Bn1PV54EvpVhd+p27PM0ngPf3fP9dwMcHd9TGHI8FAmO2+nogVdX/s3uDqr5CTwNDVc2BP2H3xmN/BLxHRKKyz9PbgFcGd8jGHI8FAmO2ehdFt8ldiUgV+C+A393lLgr8f8BfomhgNlKtTcz5Y4HAmIN7q4i8AjwGbqnqn+1x31+imBL6LuAXT+LgjDkqCwTGbPUq8JW7/KybI3gbRWOyv77bk6jqn1BcXVxU1c/0/zCN6R8LBMZs9ftARUT+XvcGEfkq4Jnu9+VGLT8E/PA+z/XDFIlmY840CwTG9NCiC+O3A99Ulo++CvwoT/ef/7+Buoh8zR7P9e9V9Q8GdrDG9Il1HzXGmBFnVwTGGDPiLBAYY8yIs0BgjDEjzgKBMcaMOAsExhgz4iwQGGPMiLNAYIwxI84CgTHGjLj/H8AyY/ukXXByAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(kind=\"scatter\", x=\"CRIM\", y=\"LSTAT\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(kind=\"scatter\", x=\"CRIM\", y=\"NOX\", alpha=0.1);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}