Housing Data Price Predictor.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86e1be18",
   "metadata": {},
   "source": [
    "# Housing Data Price Predictor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec2f183e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split, StratifiedShuffleSplit, cross_val_score\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.tree import DecisionTreeRegressor\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from joblib import dump, load"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "64d98061",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>MEDV</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</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</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</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</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</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</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</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</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</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</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  PTRATIO  \\\n",
       "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
       "\n",
       "        B  LSTAT  MEDV  \n",
       "0  396.90   4.98  24.0  \n",
       "1  396.90   9.14  21.6  \n",
       "2  392.83   4.03  34.7  \n",
       "3  394.63   2.94  33.4  \n",
       "4  396.90   5.33  36.2  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"data.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b79a19e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 14 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   CRIM     506 non-null    float64\n",
      " 1   ZN       506 non-null    float64\n",
      " 2   INDUS    506 non-null    float64\n",
      " 3   CHAS     506 non-null    int64  \n",
      " 4   NOX      506 non-null    float64\n",
      " 5   RM       501 non-null    float64\n",
      " 6   AGE      506 non-null    float64\n",
      " 7   DIS      506 non-null    float64\n",
      " 8   RAD      506 non-null    int64  \n",
      " 9   TAX      506 non-null    int64  \n",
      " 10  PTRATIO  506 non-null    float64\n",
      " 11  B        506 non-null    float64\n",
      " 12  LSTAT    506 non-null    float64\n",
      " 13  MEDV     506 non-null    float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 55.5 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0ae0d185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    471\n",
       "1     35\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['CHAS'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1a961cb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>501.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284341</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.705587</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.884000</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208000</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.625000</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  501.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284341   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.705587   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.884000   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208000   \n",
       "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.625000   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "229dcc83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': 'CRIM'}>, <Axes: title={'center': 'ZN'}>,\n",
       "        <Axes: title={'center': 'INDUS'}>,\n",
       "        <Axes: title={'center': 'CHAS'}>],\n",
       "       [<Axes: title={'center': 'NOX'}>, <Axes: title={'center': 'RM'}>,\n",
       "        <Axes: title={'center': 'AGE'}>, <Axes: title={'center': 'DIS'}>],\n",
       "       [<Axes: title={'center': 'RAD'}>, <Axes: title={'center': 'TAX'}>,\n",
       "        <Axes: title={'center': 'PTRATIO'}>,\n",
       "        <Axes: title={'center': 'B'}>],\n",
       "       [<Axes: title={'center': 'LSTAT'}>,\n",
       "        <Axes: title={'center': 'MEDV'}>, <Axes: >, <Axes: >]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2000x1500 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "data.hist(bins=50, figsize=(20, 15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e58a47d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# def split_train_test(data, test_ratio):\n",
    "#     rng = np.random\n",
    "#     rng.seed(42)\n",
    "#     shuffled = rng.permutation(len(data))\n",
    "#     test_set_size = int(len(data) * test_ratio)\n",
    "#     test_indices = shuffled[:test_set_size]\n",
    "#     train_indices = shuffled[test_set_size:]\n",
    "    \n",
    "#     return data.iloc[train_indices], data.iloc[test_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "14b1be1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows in Train Set: 404\n",
      "Rows in Test Set: 102\n"
     ]
    }
   ],
   "source": [
    "train_set, test_set = train_test_split(data, test_size=0.2, random_state=42)\n",
    "print(f\"Rows in Train Set: {len(train_set)}\\nRows in Test Set: {len(test_set)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c3cadea2",
   "metadata": {},
   "outputs": [],
   "source": [
    "stratified_split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\n",
    "for train_index, test_index in stratified_split.split(data, data['CHAS']):\n",
    "    strat_train_set = data.loc[train_index]\n",
    "    strat_test_set = data.loc[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "436b7e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = strat_train_set.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f5f1deb",
   "metadata": {},
   "source": [
    "## Looking for Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c731cae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.680857\n",
       "B          0.361761\n",
       "ZN         0.339741\n",
       "DIS        0.240451\n",
       "CHAS       0.205066\n",
       "AGE       -0.364596\n",
       "RAD       -0.374693\n",
       "CRIM      -0.393715\n",
       "NOX       -0.422873\n",
       "TAX       -0.456657\n",
       "INDUS     -0.473516\n",
       "PTRATIO   -0.493534\n",
       "LSTAT     -0.740494\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = data.corr()\n",
    "corr_matrix['MEDV'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "22948574",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='MEDV', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='RM', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='ZN', ylabel='MEDV'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='MEDV'>],\n",
       "       [<Axes: xlabel='MEDV', ylabel='RM'>,\n",
       "        <Axes: xlabel='RM', ylabel='RM'>,\n",
       "        <Axes: xlabel='ZN', ylabel='RM'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='RM'>],\n",
       "       [<Axes: xlabel='MEDV', ylabel='ZN'>,\n",
       "        <Axes: xlabel='RM', ylabel='ZN'>,\n",
       "        <Axes: xlabel='ZN', ylabel='ZN'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='ZN'>],\n",
       "       [<Axes: xlabel='MEDV', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='RM', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='ZN', ylabel='LSTAT'>,\n",
       "        <Axes: xlabel='LSTAT', ylabel='LSTAT'>]], dtype=object)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix = pd.plotting.scatter_matrix\n",
    "attr = [\"MEDV\", \"RM\", \"ZN\", \"LSTAT\"]\n",
    "scatter_matrix(data[attr], figsize=(12, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4d492f30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='RM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot(kind=\"scatter\", x=\"RM\", y=\"MEDV\", alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8775b452",
   "metadata": {},
   "source": [
    "## Trying out Attribute Combination"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d547591a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254     51.571709\n",
       "348     42.200452\n",
       "476    102.714374\n",
       "321     45.012547\n",
       "326     45.468948\n",
       "Name: TPM, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TPM = Tax Per Room\n",
    "\n",
    "data[\"TPM\"] = data[\"TAX\"] / data[\"RM\"]\n",
    "data[\"TPM\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7945a44b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.680857\n",
       "B          0.361761\n",
       "ZN         0.339741\n",
       "DIS        0.240451\n",
       "CHAS       0.205066\n",
       "AGE       -0.364596\n",
       "RAD       -0.374693\n",
       "CRIM      -0.393715\n",
       "NOX       -0.422873\n",
       "TAX       -0.456657\n",
       "INDUS     -0.473516\n",
       "PTRATIO   -0.493534\n",
       "TPM       -0.528626\n",
       "LSTAT     -0.740494\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Not that we have tax per room, let's calculate correlation matrix again\n",
    "\n",
    "corr_matrix = data.corr()\n",
    "corr_matrix['MEDV'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6e2af900",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='TPM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5eP7554c9nmEYiEQieT/lxpL5REREtaGqIzI/+9nP8PLLL+MPf/jDkPt6enrg8/nQ3t6ed/uMGTPQ09Mz7DFvu+023HLLLeU+1azBJfMBQFcVSCBbMp8JqURERBOjaiMy7777Lr7whS/ggQceQCAQKNtxv/KVr2BgYCD78+6775bt2ABL5hMREdWSqgUyW7ZswcGDB/H+978fmqZB0zRs3LgR3//+96FpGmbMmAHTNBEOh/N+r7e3F11dXcMe1+/3o7W1Ne+nnFgyn4iIqHZULZA599xzsX37dmzbti37c9ppp+GKK67I/reu69iwYUP2d3bt2oV9+/ZhxYoV1TptlswnIiKqIVXLkWlpacHSpUvzbmtqasKUKVOyt1911VW48cYb0dnZidbWVnz+85/HihUrqrpiCWDJfCIiolpR9eXXI/nud78LRVFw2WWXwTAMnH/++bjzzjurfVoTXjKfpfmJiIgKE1JKWe2TqKRIJIK2tjYMDAyUPV+m0livhoiIJqti+++q15Gh4bFeDRER0cgYyNSowfVqdFVBS0BHk1/L1qshIiKa7BjI1CjWqyEiIhodA5kaxXo1REREo2MgUwHl2BWb9WqIiIhGV9PLr+tNuVcZsV4NERHRyBjIlFFmlVGzX0NHyIeU5eDJHQcAALdevHSU3x5qouvVEBER1RsGMmVSyV2xZ7cXH8Aw6CEiosmEgUyZZFYZdYR8ebcHdRX9CRM9A2MPZIrB4nlERDQZMdm3TAqtMjJtF/0JE6oQFV9lxOJ5REQ0GTGQKZPcVUbhhIl3+xJ461AMh6IGIikbdz/7FqIpqyLPzeJ5REQ0WTGQKaObVi3G6qUz0Z8wEUkHLa1BHR0hvaKjI41ePK8cy9mJiKgxMUemjFoCOq4+ZyE2vN6LZr+GtpAPPtWLFZWUNe6k3+HkTmvp6tHYtN6L5zHvh4iIRsMRmTLrGUjCcSXac4IYoLKjI41aPI95P0RENBoGMmVWra0FMtNaUgL9CRNSoq6L5zHvh4iIisGppTLLjI48ueMAJLyRmKTlIG7YWL10ZtlHR3LrxjRC8bzM+R+KmlVdzk5ERPWBgUwFTMTWAiPlj8xu7yzb80yUwe1RhUDccOBTbbTnBDP1nvdDRETlxUCmAkrZWmCsIyjl3g6h2gq1x3ZcHIoZUBRR8ZEtIiKqTwxkKmikrQWiKQs3//JVPPfmYThSIuTTil6R0x1OYsPOXmiKgF9ToatK2bZDqIbhtndwXIn+hAnLcZFKj8TUc94PERGVHwOZKoimLFx21+/x5sEYhBBQBJCyHPxq+34AI4+oRFMWbn38VfRGUhBCoC9uoTmgoas1ULf5I8Nt79Dk12A6Lr5+4UmY1uKv27wfIiKqHAYyVXDzY6/izYMxKEJAUwRcCaQsF8DoIyp3rN+FF9/pgxACIn1bJOkV32sJaHWZPzJaHZyT57QzgCEiooK4/HqCdYeTeO7NwwAATREQQkBVBBQhYNguEqY9bK2ZzBRMW0BHa1CHTN8u4AUzkaRVl3VjGrUODhERVR5HZCZYpmCeKryRGDU9rKIIwHIx4gaTuVMwIZ/31sVSNlwpAQh8cEFn3eaPTMRKLyIiajwMZCZYV1sQIZ+GlOUlsErXG1dx0v9/5nFThx2ByJ2CaQnomN0ehOm4GEiYUBSBr1+0pG5L95ey0ouIiCiDU0sTLDON4tO8oRjLkbAcCVcCUgJCyGF3yS40BZOyHNiuxLknzGiIjn92exDL53c2RFuIiKjyGMhUwU2rFmNqsz87CpMhATzxysh7CTXaVgRERETjwamlKoikbMRSNpR0foyENxojARi2xH+//B7WrJiPRTNahvwup2CIiIiO4ohMFfQMJJG0HAjhRTJuOojJSJoOvvPU5NzhuTucxJa9fUM2hRzudiIimtw4IlMFXW1BBHUVkaQFJx3BCAEgHdAoCvBK90C2084deRlpj6V6TfQFht876ppzFuLOZ99quPYSEVF5MJCpgtntQZx74gz8/A/74GQimXQQI4Q3fWQ7Et94/FXsPBDN68BN28WG13sbZo+ljOH2jnpxzxH0xc2Gay8REZUHA5kquWnVYvTHTfxq+wEvRwZeLZm2oI5mv4b+hIWX9vShLahnO/Antu+HZbuY2uzP25OoXvdYyhhuryXLlXj7UBxdrY3VXiIiKh/myFRJS0DHD694Py55/2y0BDRMa/ZjwdQmtAZ1xEwbgERbUEdLQIeuKmgJ6PCrCpKmAzWTJZwW1FUYtjNsReBalyn0F9DVvNu97RskFCX/Y1rv7SUiovJhIFNlt3xsCS4+dTaCPhUxw4aUwOnHdCLoU4d07E1+DYBA3LDzbs/sSVRveyxl5Bb6y2W7EooQcF037/Z6by8REZUPp5aqrNByagC4/McvDNlE0XYlgj4Vhu3tRRTUVSQtB3HDxuqlM+t2miVT6O/JHd40W6ZdhuXg2GlN6IubDdVeIiIqH47I1IjcirYjbaJ44SlduPCUWQ1XEG+4Qn/3//UHWQCQiIiGJaSUcvSH1a9IJIK2tjYMDAygtbW12qdTtNGWWWdGcLy9r2XDFMYbrtAfCwASEU0uxfbfDGRq3HAdeKPWkyEiIgKK77+ZI1PjMlNNgw1XdwVgfRUiIpo8GMhUQaFRllKmToaru8L6KkRENNkwkJlAhaaDPrSwE1IKPP/2kVGniDLBzqGoCcN20BHy5d0f1FX0J0z0DDCQISKiyYGBzAQqNB20btt+QAJdbYFhp4gGB0CqEIgbDnyqjfaQD6btwnLcbCDE+ipERDRZMJCZIIOng0zHhSsBy3EhIODXVOiqUnCKqFAAZDsuDkZT6E+YMGzvWFJKHDe9Ga0Bvq1ERDQ5sI7MBMmU4fepCrrDSew5FEd3OAnHBRxXwrCPVrXNLcE/OADKbFcwrcUPx5VImA4cV0IBEPJpOBIzccf6XdVraJl0h5PYsrcvuwM4ERFRIfzqPkEyZfj3D6SQshwoQkBTBBxXQgLoT1jZnJjcEvyZAGhwPoxPUyAlMKXJj9agBk1V4FMVRFJWdjQHQN3VXuGyciIiKgUDmQkyuz2I047pwLqt3VCEgCIAV2bK2QFxw0bCtGG7ckgJ/sw+RLnbFcQMG4BAa1BDyHf0bQzqKvriJr7x+KvYeSBad8EAl5UTEVEpOLU0gS5ZNgu6KiAhYTneRojtIR1tQQ1SAn3xoSX4h9uuwLRdBH0qHNerZ2g6LhKmjahhI2E6eGlPHxQBdIR8UATw5I4DNT/lNNw0WpNfyxtlIiIiyuCIzASJpiw8unU/HBeQElCEQMinYmZbEHHTRpPfxdcvPAknz2kfMg2UCWo27j6E/oQJv6biwlNmwXIcPP3aQRyOmTAsB066SLMigM5QsO5qzAw3jcZl5URENBwGMhPkjvW7sGn3IQR0FUnTBgBEDRv7+uII6CpWL52JVUtnFvzdQjtkz24PIpqy8PK+MN48GIMQAqri5d2kLBeRlI22nICgHoKBTB7R4Gm03JwhIiKiXAxkJkDulMn0Fg09kRRiKRu26yJluVh5UldRuzkP3q4gkrKRslzMagvAl16+DQG8dTCGmGHDtF34NC8gqIdgIDON9uSOA5Dwgq+k5QzJGeIGkkRElMFAZgLkTpmoisDs9iBMx0XKcpAwbFxxxrwxJeHmHjd3BKM5oCGStBBOmugI+QoGA7Wq0DRaJmeIK5qIiGgwBjIToNCUiU9VkLIcBH3amEdJhpuKafFrsB0JVYghwUCtG24aDQDWrtvBFU1ERJSHgcwEKHbKZDzHtVwJTRGwXQnDcnDJstm4+pyFBadgBgcJtThVM3gajRtlEhFRIQxkJshIUybjcc05C/HiniN4+1AcrpRQhMCx05pwzTkLMXNQMDB4akZXFYR8KhKmA8txi5qqqVbQwxVNRERUCAOZCTLSlMl43PnsW+iLm+hq9UNRFLiui764iTuffWvIdMvgYnPv9SfQHXbQ5NMwpyM44lRNtfNTuKKJiIgKYUG8CTa7PYjl8zvLEsTkTrd0NPnRFtTR0eQvWEBu8NSMlIBpe3k0pu1CAiMWn8sEQeUsslfKfkrDFQaMGzbOXjSNozFERJMUR2Tq2EjTLYdjBp7ddRDnLJ6O2e1D92yyHBeulFAF4EgJ23HhU5WCUzXlzk8Z6+hOpabniIiofjGQqWOFplscV+K9/gRSlovvPr0b/7bxbZy9aBrWrJif91hdVaAIASedV6Opw9ebKXd+ylj3U6rU9BwREdUvBjJ1rNBqqH19cSRMFyGfiqnN/rwgYfBjfZpA3HQR0FUIIDtVM3glVTnzU8oxujN4RRMREU1ezJGpczetWozVS2fCcSX2HIohYXqbUVqOi4NRAyGfls17WXPGPKxeOhNSAv0JE+0hH46f3oz2kI7+xNANKzPKmZ+SGd0J6Gre7UFdhWE76BngxpBERFQ8jsjUuZaAjptWLcZzbx6G6cjs7Y4jMZAwAQDTW/zoT5iIGnbBqZlipmrKlZ/C1UdERFRODGQawM2PvYp3jsShKIDjDcjABaBIIJayEdSVvCBh8NRMMVM15cpPKVdxQObJEBERwECm7nWHk3juzcMAAF1RAEg4rjcy4wKwXRcxw8bH3je7LB1+OfJTxjO6U+16NkREVFsYyNS5noEkHNerB+NKQFcFAGSDGQHg3BNm1NQS5fGM7ox1xRMRETUmBjIVNBHTH11tQYR8GlKWt5s2XAFNEZBSQgL46JIZ+M4nTq3Ic49XqaM73G+JiIgGq+qqpbvuugunnHIKWltb0draihUrVuDJJ5/M3p9KpXDttddiypQpaG5uxmWXXYbe3t4qnnFxoikLa9ftwOU/fgHXPPAyLv/xC1i7bgeiKavsz5XJOfFrCgK6AstxYdguXAmoAmgL+Ip63lKq7FYLVzwREdFgVR2RmTNnDm6//XYcf/zxkFLi/vvvx8c//nFs3boVS5YswQ033IBf/epXePjhh9HW1obrrrsOl156KZ577rlqnvaoJnr6IzNt9OjWbkAAKoAmv4b2oI4Nr/fCpynDPm895ZyMtuIJENiyt48JwFXCBGwiqgYhpZSjP2zidHZ24lvf+hb+7M/+DNOmTcODDz6IP/uzPwMAvP766zjxxBPx/PPP44wzzij4+4ZhwDCM7L8jkQjmzp2LgYEBtLa2Vvz8u8NJXP7jF6AI5AUCkZQFKYGHPnvGkIt8OTqA7nASf37X7+FKibagDz5NGfV5AWDtuh3ZoCuge0FCLL2CaKSgq1qdVuZ8m/xadsVTNGWli/+5NR+MNaJ6CoaJqH5EIhG0tbWN2n/XTI6M4zh4+OGHEY/HsWLFCmzZsgWWZeG8887LPuaEE07AvHnzRgxkbrvtNtxyyy0TddpDlFLOv5wdQM9AEo6U6Aj58kYrRtpGYCw5J9XutAqteJra7MeRmImWABOAq4EJ2ERUTVUPZLZv344VK1YglUqhubkZjz76KE466SRs27YNPp8P7e3teY+fMWMGenp6hj3eV77yFdx4443Zf2dGZCZKKQXfytkBjKXQXDFBV+ZxmZGXandag1c8AQI3/HwbWgJMAK4GJmATUbWVFMj88Ic/xCc/+ckhwcV4LF68GNu2bcPAwAD+67/+C5/+9KexcePGMR/P7/fD7/eX7fxKVWzBt3J3AGMpNDdS8KOrCh54cR82v9OfHXk57ZgOvLSnryY6rcyKpy17+8q6oSWVptwbihIRlaqkVUtf/epXMWvWLPzlX/4lfvvb35blBHw+H4477jgsX74ct912G973vvfhX//1X9HV1QXTNBEOh/Me39vbi66urrI8d6Vk9j/K7GlUaA+jSqzAGfy8luPitPkdWLNifsHHj7SHUsinYtPuQ1AE0BHyQRHAhp0HcSRm1NSqodxgLBe3PJgYfP2JqNpKCmR6enpw991348CBA/joRz+KBQsW4NZbb8W7775bthNyXReGYWD58uXQdR0bNmzI3rdr1y7s27cPK1asKNvzVUJm+uOhz56BO694Px767Bm49eKleTkklegAMs/7/z61HKfObQcksPXdMD5z/+Zhl38XCrrOOn4aEqaTHXmRAFRFIKgrsByJ2KDjDHfOE7Gku5wbWlLp+PoTUbWVNLUUDAbxqU99Cp/61Kfw9ttv47777sM999yDW265Beeddx6uuuoqXHzxxdD14pI+v/KVr2D16tWYN28eotEoHnzwQTz77LP49a9/jba2Nlx11VW48cYb0dnZidbWVnz+85/HihUrhk30rTUjFXwr155Dhfz0hX3Ysrc/byXScHkshars9gwk8dxbhxHSdXSHk4ilbLhSQqR/J5KyoarKsOc80QnB5drQksaGrz8RVdO4l19LKfGb3/wG9913H9atW4empiYcPHiwqN+96qqrsGHDBhw4cABtbW045ZRT8OUvfxkf/ehHAXgF8b74xS/ioYcegmEYOP/883HnnXeWNLVU7PKtaiilwy92ufOWvf245oEt0FQFnTl5C7nLsAGMeKzMEvK+uImU5UARAooAbFfClRLzp4TguBj2nMe6pHu8WMekuvj6E1E5Fdt/l6WOzDPPPIN77rkHjzzyCPx+P/r7+8d7yLKp5UAmY6QOoNhgJ/O4p17twaGYAVUItAR1dLUGoCoCluPiSNzA8nkdeO1AdMixIik77xxu/MU2rNvaDUV4Wx64EnClREBX0Nnkx3c/cSoAOeScx1JHh4iIaLCK15F59913ce+99+K+++7Dvn37cNZZZ+EnP/kJLrvssrEectIabgqqO5zENx5/FS/t6UNbUB9xuXNmWXRAU6AqAlICkaSVPX7ScpA0Hbz4Th/aAjqa/Rriho3HX9mPF/ccGVJMbtWSGXhy+wHYroTtSihCoDWoY0qTD5GUBUBi+fzOIefMVSxERDSRSgpkTNPEI488gn//93/Hb3/7W8ycOROf/vSnceWVV+LYY4+t1DlOOpnRlQ2v96J3wIAQgBACId/R5Nvc5c6Dl3InLDcbxESTFvp8KhKGDUCg2achkrKzeS+OKzGQsNDV5s8LlOKmjWktAbiuC5+mQlcV+DQFkZQ1YjLyWOrZEBERjVVJgUxXVxcSiQQuvPBCPP744zj//POhKFXdd7Lh5I7C+DUFgISAyBtdGTy6MXgUpKs1AMALiBxXwnZcfHBBJ7buCyNqeEGMIgRURcB2vZnFmOFgarOSrQuz+Z1+nDa/A5veOARVVeATyK5GGSkZuZJJzERERIOVFMh87Wtfw5o1azBt2rRKnc+kVWgURvo1KEJACAEBIJayYdouUnb+6MbgURBVEZjdHkRfXIHtSNx5xXJ0tQXw53f/Hn3xo0GMk5MelTIdmI4LX3o1Un/CxCXLZqPJr5W8GoWrWIiIaKKUFMhkSv+/8cYb+OUvf4l33nkHQggsWLAAF198MaeXxiGT46IpAplRmJhhewGH6y19lgDCSROOK4eMbpw4swUv7enLGwUxbBerl87E8vkdAIBTZrfhqYFe71gScNOjMZlj2+lAJjMNdOz0Zty6aFrJq1EKLenmSAwREVVCycm+t912G9auXQspJaZPnw4pJQ4dOoS/+7u/wz//8z/jb//2bytxng0tN8fFr6voi3vTSALeSqGmdGKulBKqEFi5tAs3rVqct6IpZTmwHIkjMQNBn4qgrg0ZBblx5WL87s3DSFluNoHXrwmYtpt9TKHpo5Hq4YxkrL9HRERUrJICmWeeeQZf+9rXsHbtWnzhC19AR4f3Tb+vrw/f+9738Hd/93f44Ac/iLPOOqsiJ9uocnNcdFVBc0BDJGllR0oCugJF0XD6MZ1Ye9GSbHCQW6+ls8mHkM/BQMrC8nkdeY/LWDSjBZcsm4MnXtkPn6ag2a/BtF0cihrQVAUxw+Y0EBER1ZWSApm7774bn/nMZ/AP//APebd3dnbiG9/4Bnp6enDXXXcxkCnR4ByXTLJuJGllR2EuPHlWXu2YkTadfO1AdNjnys1fyQQuf37aXKw5Yx6ihp2dBuoOJ7G7N1oT00KcoqpffO+IGlst/I2XFMi89NJL+OlPfzrs/WvWrMGnPvWpcZ/UZFNopU9LQIOEHDIKkzHWei2j5a9EUxbWrtsxYdsLjGSitzqg8uF7R9TYaulvvKS10729vTjmmGOGvX/BggXo6ekZ7zlNSoU2b7zw5Fn41p+/r2BAMt5NJ2e3B7F8fueQY2eSjnN3vX5yxwHcsX7X+BtZolo6FyoN3zuixlZLf+MljcikUin4fL5h79d1HaZpjvukJqNSV/pUol7LSNNVuQX4ij3WeIYby3kuNLH43hE1tlr7Gy951dL/+3//D83NzQXvi0aHz82g4pSy0qfc9VrKsb1AuYYbudVB/eJ7R9TYau1vvKRAZt68efjJT34y6mNoYpS7Xks5thfIDDc2+7UR94aaiHOh6uB7R9TYau1vvKRA5p133qnQadB4lKteS2a66olX9iNpOWj2a7BdWfR0VTmHG7nVQf3ie0fU2Grtb3zMu1/TxBpp1KVcIzLRlAXL8QrrRZImDke94noXpJd+j3Ze5R5uXHPGPByMprD9vQGk0pE+a9zUB25TQdTYaulvvKRA5v/8n/+Dhx56CG1tbQCA22+/HVdffTXa29sBAEeOHMGf/Mmf4LXXXiv7iU5WuXswpSwXAV3BuSfMyH5Yyrn87Y71u/CbnQcxtdkHVRGIGzYMx4VPU4Ycr1AuzGnzO6CrSna40bRdWI6bvb/Y4cbBx1YVgWVz2nHjysVYNKOl5HbRxOM2FUSNrZb+xoWUOTsHjkJVVRw4cADTp08HALS2tmLbtm3ZPZZ6e3sxa9YsOI4z0mEmVCQSQVtbGwYGBtDa2lrt0ynZ3/33H7Fu237YjoSUEkIIaKrAxafOgq6q2XyUgO7NV8bSQ3ul5KMA3sjK5T9+AYpAXtASSVmQEnjos2fkfUhzqwrnPndnkw+HYwZM24Vhu3AlIKXEcdOb8d+f+1BRAdZwxx5Lu4iIqD4V23+XVEdmcMxTQgxEY9AdTuKJV3pg2i4UIaCrChTh7Y30+B8PYMPO3mw+iq56oyaZ3aq7w8mSniszLRTQ1bzbg7oKw3bQM3D0eINzYXRVgV9XoSkCkZSF9qAPCdOB40ooAEI+DUdiZlH1BQodezztIiKixsYcmRq2/b0BJE0HqhBQFQEAUAUgpUDScqCpAq3B/KG8seajlJKFnpsL47gSPZEUYikbjutCSsCv2+hqDSDoU6GpCnyqgkjKKirht9aW9RERUW0raURGCAEhxJDbqFJk+qcwXVHGXNl3sEwWesywEUlZsBw3uxP22Yum5QUPuUFPTySFSNLbrVsRAkIAKdtBwnIQ8mnwpYOiQiM7hYy3YjEREU0uJY3ISCnxV3/1V/D7/QC8Sr9XX301mpqaAACGYZT/DCexk+e0I+hTkTAdCFdCEYArAUdKhHwqzlo0DZveOFS25W/FZqFnl2lv349o0kYmlJUAmgM64oaNWMqG6bjZQKaUrRNqaVkfERHVtpICmU996lN5IzCf/OQnCz6GymN2exAXnDwLv9zWDduVcNODMz5VwQUnz8LXLjwxu7qnHMvfSslCv2nVYhyKpvD0a72AEBAAWoM6uloD2B9OIpKyMJAw0R7ylRyI1NKyPiIiqm0lrVqqR/W+aim7/HpnL5KWg6Cu4twTZ+Qtsa7W8rfucBJ/ftfv4UqJtqAPPs0bfQknTPQnTLQGdTiuHPOy8FpY1kdERNVRbP9dUiBz5ZVXjvoYIQTuueeeYg9ZcfUeyGQU06lXo+PPLJVu8mtDpoGuPmchAxEiIhqTYvvvkqaW7rvvPsyfPx/Lli3j0usJlrsNweCApVwbNY7FSNNALQGdAQwREVVUSYHM5z73OTz00EPYs2cP/vqv/xqf/OQn0dnZWalzo0GGC1hM28WG13vHvVHjaAqN+NRSdUciIpp8Ss6RMQwDjzzyCP793/8dv//973HBBRfgqquuwsqVK2tyKXajTC0BhSveDqQsWLaLqc3+oiryjiR/36QUXu+J4ISuViya0Vy1EZ+JwCBs7PjaEVGlVGRqCQD8fj8uv/xyXH755di7dy/uu+8+XHPNNbBtG6+++iqam5vHdeJU2HA7S6csB5GElS2Yl1FKAbnckZ64aWEgYcF2vfu8LQs0qIpAa0AvecSnlju6ak7J1Tu+dkRUK8ZV2VdRFAghIKWsqf2VGtFwFW+b/BoORU3EDRsh39G3s5QCcnes35Ud6YnkBDGAV7dmIGlDFcDs9lB2uwS/puRV6q2lvJ1i5ba7klNyjYivHRHVipIDmdyppd/97ne48MIL8cMf/hCrVq2CopRUKJhKMNwWArYrEfSpMGyvEm8pBeS6w0lsfy+cza9RhIDlFn6sI4G9R+JIWg5cCQgAuirw6nsDuPvZt4bN2wloCvyaCtd1a6qjyx3h8usqLMeFX1chgaK2UpjMhhsd5GtHRNVQUiBzzTXX4Gc/+xnmzp2LK6+8Eg899BCmTp1aqXOjHCNVvL3wlC7oqlp0Abnc0ZJoykIkaaMlqEEZJcUpkrLz/u24Ev/0PzsRN+28b+ZPbN8PMx0RhRNHty/waQLP7DpYEx1dz0ASKcuB6bhIhFNwpYQiBEJ+FT5V4Z5OI+B+WERUS0oKZO6++27MmzcPxx57LDZu3IiNGzcWfNwjjzxSlpOjfKMtdS42HyV3WqCzyYdoysZAwkKpudoSwL6+BGa3B/K+mSdNB/2mlfdYRUg4poDjGnkdXbVyaLragkiYDhKmDU1RoApv64eBhIUmv8Y9nUZQygajRESVNq4tCmhijbbUObfWzHAKTQu0BnX0xU2Usn5NTedGuRi6rWXcPDpyk/m0eNNREt5ekKKoHJrxBjm5vw+gwLEkpARsx83bnjNl2YgbdqFDErgfFhHVlpIL4lH1FROwDKfQtMCUJh/CCTO7l1MxXCmzHf/hmIG2oA+qIrypGvNo4rcE8jaV1FQBQI6YLHrTqsXjShTODZJSlpM+Hy+XKKhrOHvRNKxcMh1BnwrTdmE6RxuuwMsH+s5Tu3D3mtOKf0EmGe6HRUS1Ylyrlqg2ZUYivBBC5o1CDJ4WMG03O/qgCi/YKCagyX2IaUvs64tjTkcI/XFjyO/n/rM1oAMQBZNFLVfiqdd6cChqYPPevjGviMkNkrzAymufpiho8gFP7jiAuGlDVxS4EtAUAUXxNr6U0gvSXukeqIlcnlrFQohEVCsYyDSQzEjEM7sO4kjMhOW40FWBKc1+fGTxdNy0anF2WuBX2/fjcMyAYbtw0jtra4pAa0BDOGkVPc3kUwV8moKU5eJwzEDCdPJGYHIpAvjw8VMByLxRIceV6ImkEE1asF2Jp1/rQdCnYXqLV7+mlBUxg1cjJcIpaOnVdAnTwYzWACSAze/04/jpzeiJpKAKAQVeAOdKieaA5p0Tk1ZHVeroIAMfIio3BjINJDMSkbJcmLYDIQRMRyKcMPNGNG5atRgv7jmCNw/GAHj5LorwAgrDdodEIAqAYVZlw5GApiro0FX81ZnH4IEX90ERAgnTHhIMNflVfGnlYrhA3qhQTySFSDK9uknxRkWSpo2eSCrb2RW7IiZ36sxyXLhSQksvx7JdCctxs8e6eNlsbNkXRspyYLveqqXWoI4mnwohBJNWy6ge6goRUX1i4ZcGkRmJ8Ote3oeqKNBVBaoQMG2ZV8AukrKRslzMbA9iwdQmHDu9GYtmtKDJr8KwHAjhjc40+1W0BbRhgxgAkFIilrKhawoWTmuG40rMagvkrWbJEBC489m3sqNCAykLPQMpRJJm9jHNfh1autBiLGXDdLxnL3ZFTO7UmaYqUIRIj7R4S8B1Vcke64PHTsEly2ajJahharMPczuDaAloSFoOzl40jSMGZZQJshUBdIR8UIQ3xXfH+l3VPjUiqnMMZBpEZiRCU0S6Jop3uyK86RJVUWDYDnoGktnHtvg1hHwafKoCVRGY0xFCa1BHW1BHV6sfC6Y2oy008rdlV3rLlo+f3gIAUJWjozGa4lUA1lUBn6qgJahj4+5D2N0bhWm7sGwXR+IGbNc7x5aAhtntQTQHNEgAtut6WzCkLMQNu6jgIjdIGkiYCPgU2K4L23UR8qlI2U7esW5atRgXnjwLPk1FzPDOm0mr5TV4pZyuKmgJ6Gjya9ngmohorDi11CAyIxGZKRJXesm7mZEIx3XzRjSGqwPSEtBx2jEdeHbXQYQPx5A0R996QgGwqyeCmx97FXHDhpnOu9EUASm9qaKWoIYWv4b+hInvPLULm/f2Y2qzH66U6O5PesuzhYCqCHS1BmDaDlKWi4RhI+jTig4uoikrGyRFEhYkvODKpyrQNTEkUGHSauWNt4BeOd8bvs9EjYeBTIPIre3h0xQkTRuuFOk6HwoM28XqpTOyF++R6oDctGoxLrtrAG8ejBWV9KsIIKCrCOgq/KqC3kgKrgSsdDDTGtQxpcmH/oRXq+aV7gEENG/ax6umqyGWshFJWugI6bBdiYCuYuVJXbjijHkldTp3rN+FDa/3YmqzH6oiEDdsGLaLjyyePuKxxrOknUY21gJ65cyrYY4O1SsG36NjINNAMqMMz+w6CCed2OpTBdpDvuyqpYw1Z8zDwWgK298bQCrdoWSCmAPhJPaHUxDCW8DtjBLMuBII+bwVRm0hH4QicChqQFUEmgMa4kkbbx2KwZWAXxOwHQkhBBzpFaTLrHKyXYkjMQOtQV9exeJiFSr2F/JpiKQsbN7bjy+ev7jkCwEvIuM31gJ65dyYkptcUr1h8F08BjINZPA0SaE6MoP/OFRFYNmcdty4cjEWzfDyXP726T961Xnl0CXUhTjS6/DndYYAeB1VQFewYGoztr3bDycnW9iw00fMGerJFM1TBPC+ue3450tPGVPQUOwURjHBCS8i5VVqAb1ybkzJTS6pHjH4Lh4DmQY00jRJoT+OzXv78dPn92aDoO3vDRQdxGTE0rkpqiLwXn8CKcvF9vfCeUFMIV6ohew39T2HEyU8a77RpjBaAjrWrttRVHCS+zo1+zXEDRtPbN8PgBeRsSg1F6lcG1N2h5N4dtdBJEwbU5v94zoW0URh8F0aBjKTSHc4iQ07e9OriVTIdCJw7tLsnoFkdslzKRzpBQx9cQNx04Ff86oG58oELbky/xbC2yohs7Kq2JGTXKNNYfz0+b1FfcPJXER0VeBI3ETKdLLn+ejWbqw5Yx4WdbWW/BpR8blI492YcugO7xaSloP5nU1Q00v6uMkl1SruMF8aBjKTRDRl4dbHX0VvJAUJoDdiQAgvkMnUjXn7UBTHTmvxNoQcw3OE4waSpgNViHQxupEfryoCmiLgZFdaSW/kxK8VPXIy2HBTGGvOmIfP/MeWor7hvH0oikPRFAz7aBvUdL5QwrTx7ad349+4D1NFjXdjyjvW78L/bD8Aw3ZhWA4cCcQNB7t7ozh2ahMMx+Uml1SzuMN8aRjITBJ3rN+FF/b0wc2ZMsrsK6QqXu7Ko1v344srF+OErhb0Ro2Sn2NOZwhvH4rDciUUCDijhENSSjjpQsI+TWRXVv30hX1jnhsuNIUBoKTphUe37s8LYgBvxEkBoCgC29/jPkwTYawbU2ZG1Azbq0OkCAG/CpiOhO1K7OtPYHpLgPWCqGZxh/nSMJCZBDIXdtuRBUML1/W2D3jq1V688NYR2K6EpgB2iTNMB6NGdlpKURWoUuateMp97iaf6i3RHrSyas2K+fjM/ZvHPTc8uz2I1oCWnV5ImDbCCQspy8G8EaYXusNJbH6nH35NQdJy8/aNcgE06yocyX2YJsJYa/z0DCSRMG0Y6SDGe68F/ELCTG9R8d1PnIrl8zsq3wiiMeIO88VjIFNDKrXUt2cgiWjKQtK0oYoCy6kFslsC+FSBjiYf/JriFaor8jkEgIGklR3FMGwvCMjNixEAgj4VF50yC1d9+BhEDRuDV1Zt2ds36txwpk2jvU65CbtTm/1IWS7ipp3dqbvQN5zM3HRXWwB7jyTyRmWEAAI+hUO7E6zUGj9dbUGoire835cpcQ2vTICqZAKbsUyeEk0cFussHgOZGlDJpb7RlIUHXtyHSNIath6MABBN2QCASMpGzHDQHNAwsz2AI3ETpj16vosEYDkyL3DJ/H9AV+BTFVx99kJ8fNnsEf8YR5ob1lUFD7y4D5vf6R/1dSqU9T+vM4R9fQmkLAeHYwZCBSoGZ55fSqA95MNA0oLIOa7lSJy/ZHz7MPHCVFmz24M487ipWLe1Ozu6mNnZPKArCPm0MQWijfa+NVp7GhWLdY6OgUwNqGS9gDvW78Km3YcQ8KmIG0O3GxBANkhRgPReTUAkacF1NQR1Fa6LolYyZbZEGCyVnqL52R/exYGBFNacMQ9Rwy54AR1pbrizyYdN6eBktNdp+3sDiBk2OnL2ivL2kwriSMzA9R9dhHMWTx/x+b3pL29TTFdKhHwqLjxl1piHdlmbZuLc8rEl2NHtVae23Ez1aQU+TSl5Q9BGe98arT1EDGSqrJL1AnKPPb0lgLcOxWAMSnzJFKMDAE0V3n5HAoALxAwbbUEdtlvcBJMjAU3JJBHnD953tQbguBIPb34Xj27tRpNfHfYCWmhu+Kzjp+Gld/pGfZ0yF+kNO3sxkDARSVpoDeroag1AVQSSloOgTysYxBR6fr+mINTqxymz2/KKBo4FC1xNnJaAjv/+3Idw8y9fxXNvHoYjJUI+Lft5K0WjvW+N1h4iBjJVlklMbPJrMB0XvvR0SjnqBeTWIlAVgYXTmrE/7OXLSACdIR+Ond6Etw7G4aRHHuB6O2dLKeFKiYXTm7DlHbPo57RdIKApcKWEmZ7LUjM5OKYN03FhuxIzWv1wXFnwAlpobrhnIInn3jqMZv/IdRVyL9ItAR2RlIVwwoTteLtfG46LC0+eNeJrWom5aRa4qrxsMUdInDynHbPbg/jOJ04d1/vYaO9bo7WHCGAgU1XRlIUHXtiHcMJCX9yEpihoDmjoag2UpV7A4HwTVRGY2xlCX7pjv/OK5ehqC+DyH78AKb1aLrGUDTs9PxTyafjLD8zFlr1hCFl4xRPgjcK4LrKJwabtQkknWQoAquIFZ7GUnVejpiWgj3gBHTw3PFpdhcEX6ZBPgxgAwgkrnftjI+RTYdouoilr1GH0cs5Ns8BV5URTFv7pV6/hiVd60ru1SwR9Ki44eRa+duGJ43ofG+19a7T2EAFeWgRVyR3rd2HTG4cQ0BWIdEG4gYSJfX0JxA275Ln8jO5wElv29gHwdrmOGTYiKQuW4yKSsmBYDlae1IXl8zuyOSFJy0FLQMPcziCmNvvQEtRwybLZmDulCT5VgSIAXRXZ/87QFAFdVeHTlewUlQtvRCfz7+aAFy+76f2VFCGg5Yw8Zar5jiRznoPbkvs6ZS7SAV0F4OXEiHTBPwFgWosfzX4NT+3swR3rd5X8uua+tt3hkc93sNygMhcLXI1d5r24+bFXsW7bfiRMG0q6yGPCdPDLbd1jfp8zGu19a7T2EAEckamawfkrPZEUYikbDoCU5WDlkhklz+VHU9aQnIAVx07BeSdOx+/f6hu2FkFuTkjMsOHXVHz0pC7ctGoxIikbU5p96I+bMGwXEhKqIuCmp40y4ysCApoqsiuXQj4VEgK246LJp0KkoxpHSrQH9ewUWikX0NHqKgwegTJtF7GUnX3uvriZ3auy1K0GxpsgyQJX5ZP7XiRMG/0JC64roasiO/onXK/43Yadvbj6nIVjfn0b7X1rtPYQAQxkqmZw/srs9iBM20XScpAwbVxx+rySVhBEUxYuu+v3ePNgDEIIKMILiJ7e2YMLTp6Fhz57xrB5AqPlhIR8KvaHvW9wIud/AcByAVe6UBTATgcxQgB+XcWKY6cg5NPw/NtHEDNsBHQFtivR5FNhOW7JF9DMeW7Z24/XeyI4oas1r6jZ4Iu0lF7g5LhIj8oIqArguLLkrQbKkSDJAlflkftehHyaF6ACcFwgM+uopFfQJS1n3NMljfa+NVp7iBjIVEmheik+TUHKdsZU5+Lmx17Fmwdj3rRNegl1yvKyVjbuPoSrz1mI5fM7RzxGoVyCO9bvStdcUWHYrlcdWHq1OQS8QMaREk56pFoRQGtAR7PfC2BWL52ZDaJaAjp++vzeMV9AixkVyb1IJ0yvNo6ANwWWqeYrBCCkxJZ3+rFlb/+oFV7LlSDJAlfjN/i9yOy47joSTjpB3du3y3t8UB//dMlEvW8T9bng55AaDQOZKhnPEO/gC9CWvf149vWD3m7WirfsWVUE4HoVdhOmPeq30kIXtUyn0RrQ0RLQvaq4RxLpxGAF86eEcChqIJKyslVT23KWOmc6+twgajwX0GJGRQZfpL+/4U387xuHAJnZ28mbchAC6EuYuOaBLViZnkYbbgSs3AmSLHA1doPfC5+moCWgoz89KmM7LhSRruqrKjj3xBljWqlU6PNZqfetWnVd+DmkRsFApopyRw+OxAwoisBZI9S5GHzB01UFIZ+KI3EDfQkLgLcxnoC3hFpTBGzX67yRV592+GPmXkQHdxrZejPp8u+OKzG3M4QjMQMHBlLoavWjs+nopozlXAlR6qhI5iL91QtOxKV39iFlecu+3fRXdSEABV7S8WhTRNyJtnYUei+6WgMwLQdx09umNFO88IKTSyteWK2AgnVdiMaHgUwVtQR03LRqMeKG7SXouhKb3+nHHet3Fbx4Dr7gvdefRHc4mbeKCPBGZBwJOOmE3ITp4Iafbyt4UR7pInr1OQvzOg1NVbLfdhUhsh2JEOkRIJF/IoM7+vF0FGMdFWnya/jwcVPx/NtHoKsKwumADwBagjo6Qz5EUtaIU0RjGT3jsH1lDPdeBHwqVi7pwsolXcitI1OKagQUrOtCNH4MZKosswS72a8hoKvDXjyH5AY4rlevBV6SowIU3OBRFcD8zhBMxx1y3NEuolefs3BIp+HTFMRNO71kHN5ybtvFsdOa0Bc3EUlZ2c4lkrJw+jFH83JK6SgGBwKljorkBk1Jy4bjSpi2A1dKqEKgJT0FBhQOhgY/f7EJkiz/Xh4jBYIjvRdjfY2rFVCwrgvR+DGQqaJSLp6DL3i246YTG73RF1UR3r5J7tHCdQLA3M4Q/LoKv64OOW4xF9HBnUZ7SMes9gASppPXiVxzzkJ866ldeO7Nw4il7PRWCBJb9vXj8h+/gNOO6cBLe4rfYqBQIFDKqMgd63fhiVf2w68paA3oaPJp6I+bAFR0NvvQmdPm3GBopOcvJr+H0wTjU0wgWIlk1VIDiuGeu9Rz4rQl0fhVNZC57bbb8Mgjj+D1119HMBjEhz70IXzzm9/E4sVHv+WmUil88YtfxM9+9jMYhoHzzz8fd955J2bMmFHFMy+PUi6egy942WmedM6HBOBTFdjC26laSq/ei1/zisOZtgspkZf4W8xFdLhOwysHHwYgcOzUEO589i1sfqc/u7TZlRLTWwJo8mveMvBXe2HYDuZ2hkZs60iBQLGjIrt7o3h063tIWS6iAPriFoI+FX5dgeXaSJg2NEUUDIbWrtsxYiAyUoIkpwnGr5RAsJRk1dECjGIDiuECrWvOWYg7n32r5JE41nUhGr+qBjIbN27Etddeiw984AOwbRt///d/j5UrV+K1115DU1MTAOCGG27Ar371Kzz88MNoa2vDddddh0svvRTPPfdcNU+9LEr5NlbogudN87jeRo0ALMeFlBKB9MXQr3nbEnSHk16xvXS13Qde3IdFM1pKuojmdhrRlIW7cy7accOB7biY3uJHW1BHOGHBlRJx00nvd2QjYTlwXIk9h+MI6CqmN/vREtRH3GIAGDrVlRtUeWNOEpGUnddZfOepXUiYDtR0PR3LcTGQdLM1bqY0efs8DQ6GxhuIcJpgfMbz+g8XqBQ71Vfs38JwgdaLe46gL26OaSSOdV2Ixqeqgcz69evz/n3fffdh+vTp2LJlC8466ywMDAzgnnvuwYMPPog//dM/BQDce++9OPHEE/HCCy/gjDPOqMZpl02p38aGm+aJGTb64yYsR8Knqeho8mG2T8XhmIF9fXEkLa8Th5QI+DRs2n0Id6zfhVsvXjqmi2juxbzZr+FIzIQrJWKmg/Z0QKam923a7yYRM+yj2xdIL/n4nb4ENAVoCWi48JTZ6WXkfUUFAq0BDXc/u79g5xRJ2XilewCK8LYnsF03mzsk4dW5iZk2PrJ4Oq44fV5ex7e7NzrOQEQAEoilLHTkrN7iNEFxxhIIjhaolDLCM9rfwnCBluVKvH0ojq5W/5gCYNZ1IRqfmsqRGRgYAAB0dnoJolu2bIFlWTjvvPOyjznhhBMwb948PP/88wUDGcMwYBhG9t+RSKTCZz0+pQQSI03z5I5QdLV5nf3Nv3wVj/1xf3qaSUFzOsE1btp5F9hSLqK5F3O/riKa8lYBZQKX9qAORYh0zRYXMcNb4WQ6Q1ORbdcLbIbbYiBjcCAwUud08bJZcFyJ5oCGaNJCeuFW+pUBmnwaWgM6Nr/Tjy+uXJzX1pGeX1UEDkWNgp1SbmcaSdkwbAfhpIWZbUGY6T2hcpOeqbCx5IsMDqrjho0nXtkPwFt1V8oIz2gBxXCBlleAUkJR8reuK3UkjnVdiMamZgIZ13Vx/fXX48wzz8TSpd43pZ6eHvh8PrS3t+c9dsaMGejp6Sl4nNtuuw233HJLpU+3bMbybWzwBW+4C+AVZ8zDpjcOoSm9Iiqzv1GhC2yxF9GegSRSlgPTcZEIp+DKdIE5HC0P3xzwysYLeBV0pTi6b7YQyO53pAggbjjY3RvL28BypBGqLXv78dRrPfDrasHO6eJls6EKAZ8qEPCpiBteyeHMaMyMdLG+Qh1MoeePGzYOxQxoisDNj71acGoitzOd2xHE/oEUEqaN9/oT6b1/jiY9cwXT8Eodocx8FnRN8XY3T9nZjUkf3foe3j+/fUwjbMP9LQwXaNluupqwmx+scySOaGLUTCBz7bXXYseOHfjd7343ruN85StfwY033pj9dyQSwdy5c8d7ehVXiW9jXW1BhHwaBJANYkzHxUDChKqIMV1gu9qCSJhOOmFWyX4bdaW3h5HtuIgkTQBe8CAz/4H8knwCgCYAW0q83hPJbhMw3AjVNecsxNp1O/DUqz04FDOgCoGk6WSrCAd1rzDgTza95eXkmLa383X6+RQh0BbSEdBVRFLWsB3M4OePGw4ggc6QD6F04nLu1ESh6YbZHUH0xUxEDQuqADqa/AjoKmIpC4/9sRtxw8Z3PnFqya/9ZFDMCGVmBCzzWcgExprqbc/hJZw7WPdyd1lXBA0XaBmWU7D8ABN2iSZGTQQy1113HZ544gls2rQJc+bMyd7e1dUF0zQRDofzRmV6e3vR1dVV8Fh+vx9+v7/gfZNN7oXXcSWixtFvrSGfiruffWuMowMy71+qIiDTczjvhZNw5dGgRQ7+rZzRGBdeMu4JOTtQDzdClVlNFEgnMEsJRJJWtp1Jy0HSdPDiO33oCOlQFSCStLPP76anusIJE0nLGbaDyX3+7e8N4BuPv5otgw8MnZroGUgiYdrZ1VlH4qaXWO26cNKvg19TcTBqZBOuH/vjfkAAt3xsCUdmBilmhDIzAhbQFCgCsNNvsiu9aR6vajPwxqEYzjh2CjbtPlS2FUEjBdqZVUtM2CWaWFUNZKSU+PznP49HH30Uzz77LBYsWJB3//Lly6HrOjZs2IDLLrsMALBr1y7s27cPK1asqMYp16zhLvyZC+mjW7uRMG0oQqA1oKM1oI2pvknPQBJBnwpNUZAwneyweltQg5ResOR9+fW+GWdyU3Jlvhs7UuL46c0FN23MHaEaPOqRsNxsEBNNWujzqUgYNgCBtuy+UA4UxcvVkennjKZsOC5wybLZo3YwmTo7puNCUxWYtguflj819/bBGB7d2o1wwkJf/OgolNeZenNohu3inSNxOOnXSROA5Ups2HkQTT6NtWWGMdwI5eDPwkDKRjTlbQ7quhK28MoMNAc0OK7Enxw3DQnDSwBPpUdiVi+diTUr5mPL3r4heWajTe2OFGgxYZeoOqoayFx77bV48MEH8ctf/hItLS3ZvJe2tjYEg0G0tbXhqquuwo033ojOzk60trbi85//PFasWFH3K5bKZbRVGy0BHVefsxAbdvai2a+iLejLdshilNL8hXS1BRHUNTT5vHwTy3Ghq96u3ZngQhUCluMFMQUjGQEIIXD8tCbc/9cfHPU5BydZZiryRlNWdjrrgws6sXVfGAFdhem4iKVsb/l1er+pWW1BGI63JPvqcxaOOhISTVl44MV9CCcs9CcsqEKgOaChqzWQnZp4dGs3Nr1xCAFdQdJ0sonFjishhIACLyfIsF3o6d23HdcLdJoDGmvLjEGhz0LciHm1k+DlX7UGdYR8KsIJC9/69etw0tWcT53bjqvPWohHtnbjM/dvztuvLGE6sBy3pPovpeTXEFHlKKM/pHLuuusuDAwM4JxzzsHMmTOzPz//+c+zj/nud7+LCy+8EJdddhnOOussdHV14ZFHHqniWVdOdziJLXv70B1OFv07mWF2RQAdIR8UATy54wDuWL8r+5iegSQcKdEeOhrEAN7IgmE76RVPxclMV8UMGynbgU/zgpi4YeP0YzuhCC9wyMYug4MYAG1BHXde8X48dcPZmFli9VPAm8qa3R7E9BY/pjX7cecVy/H1i5Zkt3jIrXrsSi8/JuhT0RHywZGyqPbesX4XNu0+hICuAlLClRIDSQv7+uKIGzZOO6YDm/f2o9mvYV5nE0L+o98JXAkEdQUtAQ0ym//pbbLpSm9FVYtfK/m1p6GfhYCuoj39uVeEl5/UEtBwOGbAdrxRtI70537L3n58+ZFX8v5ewgkLbxyMIZwwh/37IaLaVvWppdEEAgH86Ec/wo9+9KMJOKPqGOv+PMUWECt3GfTh8gTWrJiPV7sjeK/f65yHe3fDCQv/8tSu9AZ/oxs2ydJ2sXrpzOzUVOYxfl2FgLeaBPC+ofs0ZcQk31y5r+v0Fg09kRRiKRu26yJpuXj/vA78yfFe7kWTX4MjvRGft8woHNdrd9Jyvc5VEd6UhwvoqncumSXwXNFSukKfhSafioThVbtOpZfKa4pAZ8g3Yr2XzH5lqhAwbQkpvakjVmImqi81kew72Y11f55CdS0KbUVQ7jLog/MEWvwafvrCPnzm/s1IWF6OjF1oB0sc3RPq7UNxbNnbXzA/ppDBwZMqBJbP78CaM+YVfIymKjBsByGfiilN3g7XxbY393XNjP7EDAu9AymkbBfbuwewZW8/EqaDIzETuqqgOaB5o1Hp8E1NjwY5UqIlfV9mJCZu2lzRMg6FAuk/P20u1pwxD1HDxqGogZsfezVvlAwYWu8lM3KnCu99stIjOKzETFRfGMhU2XjKsueOtChCZEcOBm9F0BLQy1oGPTehcfn8zrz9iaaE/DAsiZhh5/2OgDc6oasC0pWw3Pxl16PJBE+7e6P4zlO78Er3ALa9G8Zn/mNL3uhVJsDKJOJu3tufHYkptr2FXtdwwkR6gAexlJUN1CS8FVHhuJmtIJw7pRVITzGdMrsNW/eFcdgyEPJpXNEyDiMVhowaNqa1BIqq95Ldr0x6t2cey/ovRPWFgUyVjWd/ntyRlsMxY8StCMpRBr3QFNjgXa27w17BPDVd+O5o5y6ytWzsdMcxpcmft3KkGD99fi827+1HQFOgaSpc1x0yepUZhfqTRdPG3N6TZrbgxXf6cDhmpjfB9G4XACzXSy5T1aMrszJJzc1+FR0hHUJ43+xdKfFefwJb3w17SaeKwGnHdLAoXhlk3udoysLadTvyPpcBXcHhmDFqvRdvvzIbAV2BEChp5I6IagMDmSobb/7KTasWI27YRW1FAIxvVUWhKbANOw/CtB3Mn9IE03ERTVpw08m+uTkyTrqOiyu9b8ZtQQ3//D87S84JembXQaQsB5GknU7oFfBpAs/sOlhw9KqU9uYGaknLhmG5SJoORLoojiq8qTHTObqkWwqBmW1BWK6DAwMGEqaDlOVmp5LMdC6PpiroCHm1ZnIDTBq/Qp/LIzETU5v9SFnuiPVeMvuVJUyH9V+I6hQDmSobb/5KS0AvaSuCsRppw7zeARuxlAW/ruavWIKXl5BJurVcbxlsW1CDqojsypFScoKOxAyYjnccL+fBS6x1Ysa425nbIU5p8gPSC0wCmgLb8ZZUe0GN10YnZ0VUX9jMHkfAS2TvT9eWafJr6EyPuJWymSCNbqSp2ZTl4rufOBWZ/cdGqvfC+i9E9YuBTA0Yb/5Koa0IgPLO9Q83Bdbi19CnKogaNiyZH8Soikh3Kg6kBP7iA/Nw1qJp+Of/2QlFYAw7BR+tT6Mq3jCJKgDXkbAcifxNEEqT2yGGfN5KpWi6Lk7S8pJAHVdCTVcjzmzJEPArCKe86acmnwK/rmWrJ2ceN61l9GnDWulIa+U8ijXa1CwgsXz+0A07i92vjMqj3j5XVF8YyNSA8eavlHtVUiEjTYFNafbhg8d04rk3D2dvV9LTMIbtZPNLNuzsxZG4gZTloLOp9JwgQEJXFZi2k66U6wUKUkr4NBXDL/geXW6H2BNJIZK0oAgBBRIuAMt2oaveqpfckClueFsjCAAzWoNo8mswbReW48J2XXT3J5E0HTT7j06Z5QaYY116X261ch6jGfw3Uu7SAlRe9fK5ovrGQKaGjOdbYTlXJQ13biMFS7devBRb9vbjc/+5BXHDhuV4y1ller8hLb1i6aU9fbAciZCv9I6nqy2IKc1eETPDdrykWwEEfRraQ/q4Oq1MhxhLWYilvK0cvD2dvGhJpKvyTm3xwacqiKYsNAV0aIqAYTk4GDVwMJrCAn8zfJqSrVsT9KkwHHfYzQRzV3yVMs1WbmMtATBRRuoQKx3E09jV+ueKGgMDmQZRjlVJoxktWFo+vwPnL+nCkzsOoEUROBQ1IBVASC9PpKPJD1W1cCRmYCBlldzxzG4P4sPHTcGjW/fDSdekdxXAdl18+Lgp45qmyQRqj/2xG46U0ATguN7S6qaAho6QjmjKxhfOXYQf/vYNBHQVzT7Nq5Qc0BEzvB3B++IGWgI6oikLMcPGRxZPR3vIV/A1G8/S+3KqlfMYyUgdYqWDeBqbevhcUWNgIFNDyhGEVHKuv5hgKdN5/PrVHm/vofSITNyw0R1OYkqTD0GfiuXzOvDagWhJHU80ZeEP7/TDyKm2J1xAKhJSinEPY+euADMdCZE++aTpTR/5NQW/+mM3eiMpCCHQF7ey+y/Nagvg3f4kTNvF3iNxWI43Dbb13TA+sng6/t+nliNq2Hmv2e7e6JiX3pfTeEoATITROsSrz1nIDRtrUK1/rqhxMJCpAfU2jzxSsJQJdg7FUvj1jl4owut0XAlEkhZM20Fnkx9rL1oCACV1PDc/9ir2HI5DU0S6GquXH6OrCp5/+whu/uWr2PTGoTEPY7cEdHznE6cCAnjij/thp1dZAd7y8ZTt4g/7+r3VS+nfyWyU2RLQMK3Fj5NmtuL5t4+gs9mr4jvSOdRKfkc1z6OY4KPYDrHaCbsMpPLVyuebGh8DmRrQaPPI3eEkXtsfRVO6I/eq3HqJuQnTwcqTvGq+pVz0u8PJbDKxpojs7tKOK2HYLmIpC8+9eXhMw9iDO6CrzzoWv97RA9t1vHoxQqA1oCGasuC6Ak1+DXHDhoA32hRJWpBS4iOLp2Pz3n50hPSizmEikrSLUY3zKCV4z3SIUcP2CiGqCnyqUjMdYr19EZkotfL5psbHQKbKGnEeOfMNelZbAIfjZnrDRW/ZtF9TMJC0cPmPXyjpot8zkPSWPwuvdoyaHhJRhFdp16vrIr3dqnOMNIxdqANacewUHImlkMpUSQYQ8nnVeqNJCxBAR0iHqojsMmtA4IMLOnHJstl47q3DJQ2l10p+x0SfRynBe2tAQ0BX8ObBGABAFQJ+XYVfU/B/Tq5+h9hoX0TKqVY+39TYGMhUWSPOI2e+QZuOi9ntQZiOC9txkbJdDCQsvLyvH21BvaSLfqZWTspykbIcIL1iyXYlpJQ4/dhOvLY/WvQwdnc4iVsffxUvvtOHtsDRc/nltm5ISAgBCHgjPzHDBgQg0tNMfk3F7HZv9+SBhAlFEfh6eqqs1KH0iUjSLsZEnkepwfsd63fhcMxAyKfCsN30yJ6NWe3NE9IhjvSaNOIXkXKqlc83NTYGMlVWiXnkal80Cg0p265EwrQBSDT5vN2gpfQudMVc9DPH/J/tXtBjWA7MdIGa46Y341t/9r7sN+ORhrEzozAbdvZmk3YFBEI+DX5NzVYhbvZriOVMH8VSdnbn7pTtbVuQshzYrsTqk7qyxx/rUHq18zsm8jyKDd67w0lsfy+MDa/3ojXgTddlavQYtrcVRCRlV2z6ppgpo0b8IlIJtfL5psbEQKbKyjmPXEtz9YWGlJfPbcfv3jqC3qgBmS7v3xzQMKXJh0jKwvb3wiMGYLnHTJo2FEXgzOOm4paPLSl6h+9MsJPJs8nkuABAe9B7jaSU6AjpUNLTRzJ924ePm4apzX48//aRYY/PofTRjRa8t/i17CaQ0ZSFSNJGS9CruJyp0ePTlIoHCsVMGTGhlaj6GMjUgHJ1frU0V19oSPnbT+2CaXsbKmb2SYokLZiWAwjgG0+8BseVwwZgow1Tj3Z/7jSAX1PRF/cCmMyIS3vIey4hBHy6itnpEYBw0oQqBL5x8dJR9+XhUProZrcHcdr8Dmx4vReW46IloOcF7z99YV/2c9zZ5EM0ZWcrLWdey0oHCsVOGTGhlaj6GMjUgHJ0frU6V5+52HeHk9j8Tn86z8WBIyUEBCQk4qYDnybgUxUEAuqoAdhow9TD3Z87DaCrCpoDGiJJCwJe4buEYUNTBJCeNspMIzmuxMqlR6ePihkmL+YxkzHYyYwavvROH0xbotcw0Bc3MaXZj9VLZ2LNivn4zP2b8z7HrUEd4YSJSNJCR0iH7cqKBwqlTBlVexRuMn6OiHIxkKkh45lHrvW5+sz5dbX68W5/Ml3U7ujeSC2B4pYsj2aki/rgaYCu1gCAzNSSgKIIfPzU2RBC4vdv9VWsU6qlKcCJljtqOH9KCFHDRixl44MLOtPbXPQN+Rx3tQZg2y5iho3DMRNtQT2vOnIlOvFSpoyqNQo3mT9HRLkYyDSIiZ6rL/WinTm/nogBx5XQVS/J1na9VSim5eY9vtQArJiLeqFpgJaABiklPrigE1+/aMmE7EZdS1OAE6nQqGFnyAdNEdj8Tj+6w8khn2PHleiJpJBITz/qqsBpx3TgmnMWVrQTH8uU0UQntE7WzxHRYAxkGsREzdWP9Vvg7PYgTjumA+u2dnsbMqbrwQghIKREwnJg2q63dxFKD8CKvagXmga48JRZQ86/Up1SrU4BToRiRg2Xz+/M+xwPJCxEUl4uU2tQR7Nfw6bdh7CjewB9cbOinXi1p4xGMpk/R0SDMZCpYaWOCkzEhXc83wIvWTYLT24/ANuVsF0JRQi0BXU4rotoykY4aaIj5Cs5ACvlol7tZNxanwKspGJHDTOf1w07exFNeUm+rUEdXa0BqIqA5Uq8fSiOrlZ/RTvxan9WRjKZP0dEgzGQqUFjHfWo9IV3PN8Cu8NJxA0HHU0+KAB8mgpd9ZbRhhMmHNer2DqWAGwsF/XcJOQte/vG9VqNtEpq8O2TeblusaOGmc/xmcdNxd8/uh0dIR0h39FLlbfiTUJRlLzjV6oTr8UaKJP5c0Q0GAOZGjTeue9KXXjHEjAMDsrihrddwbRmP3yagkjKQtJycMmy2bj6nIVjCsDGclEvR6Jk7jESplcw78zjpuJLKxfjzmffKnjsyb5ct5RRw2ktfuiKgGE5eYFMZjTPdfPzqiZTJz7ZP0dEuRjI1JhanvseS8AwOCjzqwoORg30JyyYjpvXkbUE9DG1bSwX9XIkSt6xfhf+Z/sBGLYLI72kfN3WbmzY2QtNUdASKHzsUqcAa3FqY6yKGTXMDRAjKRuG7SCctDCzzdvuwrAcHDutCX1xE5GUNWk78VrO4SGaSAxkakwtz30XGzBkOilADAnK2kI+CEXAsl18/aIlOHlOW1naU8pFvRzBYuYYhu3t/aQIAZ8iYLkuBpI2Qj4Vs9LHKHTsYqYAG3l57UijhrlB5tyOIPYPpJAwbbzXn8C0lgBWL52Ja85ZmB31mqydeKGgEAB290YbIuglKhYDmRpT63PfIwUMgztewKvRMqcjlHeMoO61b1qLr2wX21Lyg8oRLPYMJJEwbRjpIEZVvA0lFSHgQHp7QTkufOn3sNCxR5sCrPby2mqMBBUKMhdMbUJfwoTtuPjuJ07F8vkdADDhibiDA4ZaGSWb3R5Ea0Br2KCXaDQMZGpMrc99jxQwrF23I6/jjRo2DNvFgYEkFkxtzh6jkkFZMflB5QgWu9qCUBUBR0r40kEMAMh0jT9XAnZOIFNqm6s5xVjpkaCRgo/hgswWv4b+hIlMEcXcUb9Ky309UpaDhOkAkAj6VAR1rSYChmoHvUTVxECmBtXD3PfggKFQx+vtaaQgYTroixtD9tSp9Smy0Y5x5nFTsW5rN2xXQlO84AVA9r9TtgtddcfU5mpOMVaqUywmQBp1Q8mAjrXrduCZXQdxJGbCclzoqsCUZj8+snh6RQKK3NfDdNz0Lu6Apiho8qHqAUMt59URTQQGMjWolutXDCe3481UY42lbDiuCymBvrgFy5EI6LURlJUjWLzlY0uwo3sAbx6MwXIBRQABXYGuCkxrCSBluWM+9kgduqoIHIoaFemgKtkpFhMgjRZk/vT5vXhyxwGkLBem7UAIAdORCCfMigQUeRuN6ioS4RS09LLvhOlgRmug6gFDLefVEU0EBjI1rBbrVwwnt+ONpGwMJEyvai8AVRHwqQLL5rXj6xctAVD9hMRyBIstAR3//bkP4eZfvorn3jwMR0qEfEenGiIpe8zHLtShxw0bh2IGNEXg5sderUgeRKU6xVICpOGCzDVnzMNn/mMLNEV4CdaKgKZ42xiYtkRbUCl7QJH7eliOC1dKb2NReMvALcetesBQ63l1RJXGQIbKItPxPv5KNwYStpfJkE4Y8ateZdZX90fw7ad2YfM7/TWTkDjeYLEloOM7nzi1YEBU7HLy4YKpwR163HAA6e1PFPJrY5ryGS1wq1SnWEqANDjI9PJgJF49EMGhqAHTduBIpHctd6Ep8AoqKgoM2ylrQJH7evh11atfk55CVISAripVDxhqPa+OqNIYyFDZ3LRqMZ7ddRDhhJ29TRHeN9douh7Ihp0H0RHSGy4hcSwB0Wg5I7kd+vb3BvCNx1+FT1PGNOVTbAJvpTrFsQRIrQENdz+7P3vO0ZSFlOVCUQAhvbRfx5WQEumRGbfogKLYkbjBr0fIr6Z3SwdaAzpSdm0EDPWQV0dUKQxkqGwiKRuOlFAVQMBbkqwIAceViBo2ICU6myu7P049KTapdnZ7ED0DSTjSyzHKVey0RikJvOXuFDNBw2nHdGDT7kOjBkiZxz/wwj5sesObjmr2azgSMyEBuC4gRP4KMV0VMGwXq5fOKEtAN9zr4VOVdJVhCV0TkBI1ETDUY14dUbkwkKGy6RlIwnElWgI6YikbUgISElJKuK6Eripo8ed/5DId8fb3wnV3AR5Pp1FqUu14pnxKfa5ydYqDgwZdVdDZ5EPCdLIB0lmLpmHlkunoDifzaqEkTBvhhIWArmB6SwApy6tLpAkvcFGFSH+2vOcK+VSsKiKgGMuKrOEKz9Xi57We8uqIyoWBDJVNprP1qQoUIRBLefsqAV5H0xLUhnTEccNG3LDxjSdeg+PKquTNlNphl6POSqlJteOZ8hlrAu94O8VCQUNf3MRZx0/DJctm49Gt3dj8Tj+ee/Mw/JqKgK7gSMxES0BDk19DX9xE0nLRE0lhWrMfihCQ8KYrZ7YHoCkK4pYNSODOK5ZnC+WNtInneFZkDX49xhsw1NroSa2dD1GxGMhQ2eR2tt4+Qzrihg3DcXHhybMAYEhHfChqAALwqQoCAXVC82bGGpCUo87KWEZYxjrlU41VLSMFDZv39gNAdtqoI+RDLGXhzYMJhHwaZgV0mI4LTVHgSolYysa0Zj+aAxrCCTObZGu7Eo4jsXrpTCyf3zHq+1kry5RrbeuJWjsfolIxkKGyyu1sY4YNv6bioyd15XW2mY5YFQKaqqAjpFclb2YsAUm56qyMZYRlrFM+1VjVMlLQcCRm4Lk3D+e9hj5NhRAib2uH5oCGgYQJB17Q1eRTkTAUaKqS/WzlBnKjvZ8TUZunmPem1qrw1tr5EJWKgQyV1Widbe59h6Imbn5sB5qGyZup5DfksQYkY/lWX+zy6mJHWMYy5TPRq1qGCxqiKSs93SjRoXuvoWm7sB0XAoAjZXZrh67WAMz0ppwJ00bIp+HPT5uLNWfMQ9Sw817Pkd7PDTt7ceZxU3HynLaK1eYpdlSj1qrw1tr5EI0FAxmqiJE628x93eFk1Qp5jXWaoZRpmkzntmFnL5KWg6Cu4twTZxRcXl3p3ISJXtUyeBRIAdATScGwXfg0BbYjYdpx+DQVccOBKyWcdD5V0nSy9VkCuoKVS2bgitPnlbQRqOm4MC0H/XETccPG3z+6Hc1+DR9a2IlzT5iB598+UrbaPEDxoxq1Mr1Vq+dDNBYMZKjihus8Z7cHcdr8Dmx4vReW407oXkxjzRspZZrmH5/YiV9u684mPEdTNh7e/C5M28XfnHd83msyUZ3FRD7XTasWw3IcPPFKD2KGV1tIAPBrCjRFImY4SJguNEVkt35UxNFl/JlVTZcsmzVq4JV5P+OGjbjpIJayYTkuZPo524IapAR+s/MgVi+diYc+e8a4a/NklDKqUWtVeGvtfIjGgoEMVcxIw+2A9y32pXf6YNoSvYaBvriJKc3+CanLMZ68kWKmabrDSfxq+/5s0qqSXjZsOi7+++V38b9vHqraKq2J0hLQoasqVAGoAhDCqysUN7x8F69eL9IrkQQ6mnQ0+VQ4rsSXVi3G/+4+nF3VpAqBk+e04YsfXYRFXa1Dnivzfj68xQsUFWT2yfYMJG3Mbg9mg4urz1mIaS2+cdXmyShlVKPWqvDW2vkQjQUDGaqYkYbbAWTvmz8lhKhhI5ay8cEFnROWYDjWvJFipmm2vxdG0nSgCq8wIOB15rYD2BKwbBdTmv0NnViZGakI+lTETccbeRECcIG46e2VBCkxvdUrkuhTFViOt9Hmr3f0YPPefoR0FYblImbYePq1Xjz35hFcsmx2wcBvzYr5eHTre7CFgEwXmFGEt9dXLGXDHLQvUrlGI0o9Tq1V4a218yEqFQMZqogRky9f7wUkENC8ejMynaOgKQKb3+mfsATD8eaNjDxNI9I/R7lSwk3/d9CnQVeVhk6szIxUNPs19MWtdCE7L7jI5MMIIbJBDJBeQSQEXukeQLNfQyRlI2bYUNIbkKYsB09s3w9gaOAXTVlo8muY0arBsl0ciKQgILLbZNiOCzs9CpYJLk6a2YIX3+kb12hEZlTjiVf2I2l57bVdOexxaq0Kb62dD1GpGMhQRYw03B5JWogb3saSUnrTCs0BDVOafIikrAlPMKxE3sjJc9oQ9KlImDaEK/M6b0V4r0NGoyZWZkYqHFeiOaB5exS5gJTSm2ZSvPc+ZTkQQDaIWD6/A9veDUPVvZEUJT2qJaUXkPjVobtcd4e9VXBqekuMtpAPMdNBJOkFUAJAynZhWA7OO3E67n72LWzcfQhJy4ZluzgSMxHyqQjopY9GRFMWLMeB5UhEkiYORw0EfSouOHnWiMeptSq8tXY+RMViIEMVMdJwu2F734wVIaAp3m7CkaQF03bQ2eRviATD2e1BXHhKF9Zt2w/bSa/IEV6HGtJV+LTGT6zMzb9o8qlwXYmYYcOVEiGfhgtOngkhJH7/Vl/elMaaM+bhM/+xBfH0Y7X01JyT2U1d9z5XPQP52xoYtoO44cB2XDiuxJQmH0zbQcL0Xl9VCKxeOhOm7WanNac0+ZHyORhIWlg2rx1fv2hJyZ35Het34Tc7D2Jqsw+qIrJFIHOTiImochjIUEUMl0QYSVpQhEDI5y11dSWyibAJ08HKkzoa5lvhVy84CbqqYsPrvUhZLgK6gma/hsMxA5GUNSkSK3PzL/y6gpDPPyRpt9CURmaqBvBGYVzpeiMrAujuTyKgq2jxa0PysHyqVxemP2Giya+hs8mPlSd14JJls3Hs9GYAwOU/fqHglOfOA9GS21doCjXk0xBJWQ05XUhUixjIUMUUSiL84IJObN0XRntQx+G4md2PyVuWq+KSZbOre9JllMk9uDq8MNtR544gTIbEymLyLwpNaWRej0e3voeY4W0YKeBtFummi+bdveltbH6nPy+IaA/5oCgCluPi6xeehJPntOcde8vevrLWTWEdFqLqYyBDFTPcrsGX//gFmI6L2e1BmI5X1TVlu1CFyH5rbiSDO+rJmFhZav5F5rOzcskMfPY/NsN0ZDZ1ujWgoyWg4bk3D8NxJaY2+/N+N5ieeprW4h/ynOWum8I6LETVp4z+EKLxmd0exPL5ndnO7OxF0xAzbERSFgS8qQPDcnD2ommTolMH8l8TGl7Ip6Il4NWXAbxE4YTpIGrYsB0JNZ0snGukIGLw589yXERSXvL5WD5/5T5eru5wElv29qE7nBzzMWj8+D7UPo7I0IRj3YrxmzwjOgLRlA3DdrzCgjnJ4SGfhrNPmoFNbxwqafl0uT9/5T4ed6OuDXwf6oeQmcpRDSoSiaCtrQ0DAwNobR1aEZSqZ/J0xuUzWS6uuftU7R9IAfCSwnVVQEoB23UR8ql45Joz8dPn92ZfD1UROGV2G25cuRiLZrSM+Bzl/vyV63hr1+3IJjAH0tNksXRw1mhFE2sZ34fqK7b/5ogMVQ3rVpSu2M0J612mnZoioKZXtXlbPEjoikBrQIeuCURTFm69eCl290Tw7ad3Y/t7A9j6bhifuX/zqAFeuT9/Yz3e4Bwy7kZdfdwVvL4wkCGqE5Pl4prbTr+moi9uQYWXHyMBzOkMwnElpES28//pC/uwZW9/3rfnWg/wCo2unTizBSnLQWcTV0FVE1ej1Rcm+xLViczFtdAmh4btFYhrBLnt9GkKmgMa3PQMuJQSCcPOS6YdHODpqleIrsmvZQO8ahkpUTQz6qQIoCPkgyKAl/b0IWE6JSUwU/nlrkbLxfehNnFEhqhOTJalvoPb2dUaAOAl+AICiiKw+qSubDJtLX57Hi2XaaTRtSMxAwMpi7tRVxF3Ba8vHJEhqhOVXOpbSwa305USLQENLQEN5500HQ9f/SHcevHSbAAw+NuzabuIGzaiKatqAV6h0ZYndxzAHet3ARh5dC3oU3H6MZ2QEuhPmJASXNVXBTetWozVS2fyfagDHJEhqiOTYel6dziJlSfNQNywsXlvf7adF54yq2Dybibw+dX2/TgUNWDYbnYq6rjpzWgNTOxlrphcppFG14K6hrUXLQEAruqrIu4KXj8YyBDVkUa+uBaajjntmA5csmwWjp3WMmI7rzlnIR77Yzfi5tGcBk0ROBwzcMf6XSUn/I7n9S1mqmv5/M6ipi4a5b2tZ1xdWfsYyBDVoUa8uBZaWr5p9yE0+TTcevH0EX/3W7/ehWjKhqoAqlAg4a1qMm1Z0oquctTpKTaXaTKMrhFNBAYyRFR141la3h1O4rk3D0MIAV0REEIAEHDSW18kTbvohN/BwVTUsPHYH/cjbtr4zv89tai2FJso2sijaxmN3DaqHQxkiKjqxrPyqGcgCUdKKOnCeWp6d0lFAKYroSiiqITf3GAq5NPQE0mld2d38di2/YAEbvn4kqJGZkoZbRludK2eg4DJUoGaagMDGSKquvEsLe9qCyLk05CyHKQsF3C9IMZ2vYTfM4+bWlQgkBtM9URSGEiYEEJAE4ADYMPrvWjya0Xl24xntKXaQUA5AqjJUoGaagMDGSKquvHU7chdtQQAhu3Ccr3iecdNb8YtH1tS1DlkgqmBlIVw3IQLAOnVTwokQj615ArKY8llqlYQUK4AarJUoKbaUdU6Mps2bcJFF12EWbNmQQiBdevW5d0vpcTXv/51zJw5E8FgEOeddx7eeOON6pwsEVXUeOp23LRqMS44eRY6m/xoC+qY2uTDxafOxn9/7kNFd8KZgOhI1PCCmBwSQNJ0K15BuZpVikerfVOsyVKBmmpHVUdk4vE43ve+9+HKK6/EpZdeOuT+O+64A9///vdx//33Y8GCBVi7di3OP/98vPbaawgEAlU4YyKqlPFMx5QrcXbNGfPwyMvvwXS8ZdwCgKIIKAKIGTZCPn9FC+xVq0pxOUdRJksFaqodVQ1kVq9ejdWrVxe8T0qJ733ve/ja176Gj3/84wCA//iP/8CMGTOwbt06/MVf/MVEnioRTZDxLC0f77L0qGGjOaBBVQTihg1FEVCFtwLKlRInz2mr6LRIJYKAYoK7cgZQLO9PE61mc2T27NmDnp4enHfeednb2tracPrpp+P5558fNpAxDAOGYWT/HYlEKn6uRFQZgzvhSq/kyQQSPlWBpirpVUtenkzIp+GLH11U9ufMVc4goJScl3IHUKyRQxOpZgOZnp4eAMCMGTPybp8xY0b2vkJuu+023HLLLRU9NyKqrMGdsK4qCPlUJEwHluNWbCVPbiDREtDQEdIRN2wYjosLT56FRV2tZXuu4ZQrCCglabjcoyiToUYO1Y6aDWTG6itf+QpuvPHG7L8jkQjmzp1bxTMiolIN7oTf60+iO5xEk0/FnI5QRVfy5AYSMcOGX1Px0ZzdtiutHEHAWHJeKjGK0ogVqKn21Gwg09XVBQDo7e3FzJkzs7f39vbi1FNPHfb3/H4//H5/pU+PiCpkcCdsOi5M24UqBEzb23qgJaBXbDlvrYwmjCcIGEvOS620m6hUVV1+PZIFCxagq6sLGzZsyN4WiUTw4osvYsWKFVU8MyKqpMHLd23H281aFYArJSzHWxxd6eW8s9uDWD6/sy4789ycl1zF5LzUc7tpcqrqiEwsFsObb76Z/feePXuwbds2dHZ2Yt68ebj++uvxj//4jzj++OOzy69nzZqFiy++uHonTUQVNTjxVFMVKEKktyEQ2WRULucdHlcO0WRS1UBm8+bN+MhHPpL9dya35dOf/jTuu+8+3HTTTYjH4/jsZz+LcDiMD3/4w1i/fj1ryBA1sEKdsE9TEDdtBHQFQgCRlDVqp1zMFEkjT6NMlpVDjfweUnGElOka3A0qEomgra0NAwMDaG2t/IoDIhq/8axaKmbZcbX3M5pIjdrRT6b3cLIqtv+u2WRfIpq8hks8LaZTLmbZ8Vj3Myo1KKiFIKJRVw5xY0rKYCBDRBU1ns58cCc8WqdczLJjpP879zESQMpy8NRrPTjzuCk4eU573vOU+u1/rKMFtRD41ANuTEm5GMgQUUVUY+i/mGXHALKPcVyJnkgK0ZQFy/Fm2f/moa2Y3hrARxZPz55rqd/+S308p0lKU609qag2MZAhooqoxtB/saX2M4+JpGxEkhbcnFRB25UIJ8zsuV59zsKSvv2PZbSg3qZJqj1yxI0pKVfN1pEhovo1uDPXVQUtAR1Nfi1viqfcMiueYoaNSMqC5bjZFU5nL5qWnZo6e9E0DKQsRJIWAIn0dkpQBaApCkxbwq8p2Lj7ELa/N5BX1yZjuDo2g+vgjPb4ar1WYxFNWVi7bgcu//ELuOaBl3H5j1/A2nU7EE1ZE3oexbzPNHkwkCGisiu1My+nm1YtxuqlMyEl0J8wISWGLDu+adVinH5MJ6SUkBAAvCBGVxUo6cJ7qqLAsB0AsqTicqUWo6vma1WqzMiRIoCOkA+KAJ7ccQB3rN814edSzPtMkwOnloio7Ko59F9Mqf2WgI61Fy3BK+8NwHRdDMQtCCEghIDjeoX3HNdb5n3ynPaSisuVWoyuXqZJai3BllsqUAZHZIio7AoN/fclTIQTFk47pmNCOpzRSu3Pbg/i3BNnABLw6yoc14XluHCkhE8TMGw3O01R6rf/Uh5fL9MktTpyxC0ViCMyRFQRmU77mV0HsfdIApbjQlcFXtrTh7XrdtTEipzcc3Rcbx8nnyrQHvJlVy0BpX/7L/XxE1WFdzyjF/UyckSTDyv7ElFF3fjzbdjwei9a/BqaAzpSloNYepqlmBU5EzF1kHkOQACQVZumqFRby7W8e+26HXhyxwE0+bUhU2a1uLqK6hsr+xJR1XWHk9i8tx8dIV/JeRUTWVulVqrfVuo8yrW8e7Ls30T1hYEMEVXMeAqX1VttlVpVziTdSibYMmmXxoqBDBFVzFjzKmpthUw9q0QV3HKOHLGqMY0XVy0RUcWMdUVOra6QqUel1rWZaLVUm4bqEwMZIqqosRQuq/XOt57U8vLueqpqTLWLU0tEVFFjyasotagcjaxWk3S5+SOVAwMZIpoQpeZVVLPzbbTE01qtgsvaNFQODGSIqCZVo/Nt9MTTWllmnsGRNyoHBjJEVNMmsvPlku+JV6vTXlQ/GMgQEYFLvqulVqe9qH4wkCEiAhNPq63Wpr2ofnD5NRFNSt3hJLbs7csu8eWSb6L6xBEZIppURkroZeIpUf1hIENEk8pICb1MPCWqPwxkiGjSGC2h9+pzFjLxlKjOMJAhokmj2IReJp4S1Q8m+xLRpFHOhN7BycJEVB0ckSGiSaMclWQbvfovUb3hiAwRTSpj2Y07VyZZWBFAR8gHRQBP7jiAO9bvqvCZE1EhHJEhokllPJVkWf2XqPYwkCGiSWksCb2s/ktUezi1RERUJFb/Jao9DGSIiIqUSRaOGTYiKQuW4yKSshA3bJy9aBpHY4iqgFNLREQlYPVfotrCQIaIqATjSRYmovJjIENENAas/ktUG5gjQ0RERHWLgQwRERHVLQYyREREVLcYyBAREVHdYiBDREREdYuBDBEREdUtBjJERERUtxjIEBERUd1iIENERER1i4EMERER1a2G36JASgkAiEQiVT4TIiIiKlam387048Np+EAmGo0CAObOnVvlMyEiIqJSRaNRtLW1DXu/kKOFOnXOdV3s378fLS0tEEIM+7hIJIK5c+fi3XffRWtr6wSeYeU1ctuAxm5fI7cNaOz2NXLbgMZuXyO3Daif9kkpEY1GMWvWLCjK8JkwDT8ioygK5syZU/TjW1tba/qNHY9GbhvQ2O1r5LYBjd2+Rm4b0Njta+S2AfXRvpFGYjKY7EtERER1i4EMERER1S0GMml+vx8333wz/H5/tU+l7Bq5bUBjt6+R2wY0dvsauW1AY7evkdsGNF77Gj7Zl4iIiBoXR2SIiIiobjGQISIiorrFQIaIiIjqFgMZIiIiqluTKpC57bbb8IEPfAAtLS2YPn06Lr74YuzatSvvMalUCtdeey2mTJmC5uZmXHbZZejt7a3SGY/d7bffDiEErr/++uxt9d627u5ufPKTn8SUKVMQDAZx8sknY/Pmzdn7pZT4+te/jpkzZyIYDOK8887DG2+8UcUzLo7jOFi7di0WLFiAYDCIhQsX4tZbb83bX6Se2rZp0yZcdNFFmDVrFoQQWLduXd79xbSlr68PV1xxBVpbW9He3o6rrroKsVhsAlsxvJHaZ1kWvvzlL+Pkk09GU1MTZs2ahU996lPYv39/3jFqtX2jvXe5rr76aggh8L3vfS/v9lptG1Bc+3bu3ImPfexjaGtrQ1NTEz7wgQ9g37592ftr9To6WttisRiuu+46zJkzB8FgECeddBLuvvvuvMfUattGM6kCmY0bN+Laa6/FCy+8gKeffhqWZWHlypWIx+PZx9xwww14/PHH8fDDD2Pjxo3Yv38/Lr300iqeden+8Ic/4N/+7d9wyimn5N1ez23r7+/HmWeeCV3X8eSTT+K1117Dt7/9bXR0dGQfc8cdd+D73/8+7r77brz44otoamrC+eefj1QqVcUzH903v/lN3HXXXfjhD3+InTt34pvf/CbuuOMO/OAHP8g+pp7aFo/H8b73vQ8/+tGPCt5fTFuuuOIKvPrqq3j66afxxBNPYNOmTfjsZz87UU0Y0UjtSyQSePnll7F27Vq8/PLLeOSRR7Br1y587GMfy3tcrbZvtPcu49FHH8ULL7yAWbNmDbmvVtsGjN6+t956Cx/+8Idxwgkn4Nlnn8Urr7yCtWvXIhAIZB9Tq9fR0dp24403Yv369fjP//xP7Ny5E9dffz2uu+46PPbYY9nH1GrbRiUnsYMHD0oAcuPGjVJKKcPhsNR1XT788MPZx+zcuVMCkM8//3y1TrMk0WhUHn/88fLpp5+WZ599tvzCF74gpaz/tn35y1+WH/7wh4e933Vd2dXVJb/1rW9lbwuHw9Lv98uHHnpoIk5xzC644AJ55ZVX5t126aWXyiuuuEJKWd9tAyAfffTR7L+Lactrr70mAcg//OEP2cc8+eSTUgghu7u7J+zcizG4fYW89NJLEoDcu3evlLJ+2jdc29577z05e/ZsuWPHDjl//nz53e9+N3tfvbRNysLt+8QnPiE/+clPDvs79XIdLdS2JUuWyG984xt5t73//e+XX/3qV6WU9dO2QibViMxgAwMDAIDOzk4AwJYtW2BZFs4777zsY0444QTMmzcPzz//fFXOsVTXXnstLrjggrw2APXftsceewynnXYa/vzP/xzTp0/HsmXL8JOf/CR7/549e9DT05PXvra2Npx++uk1374PfehD2LBhA3bv3g0A+OMf/4jf/e53WL16NYD6bttgxbTl+eefR3t7O0477bTsY8477zwoioIXX3xxws95vAYGBiCEQHt7O4D6bp/rulizZg2+9KUvYcmSJUPur/e2/epXv8KiRYtw/vnnY/r06Tj99NPzpmjq+Tr6oQ99CI899hi6u7shpcQzzzyD3bt3Y+XKlQDqu22TNpBxXRfXX389zjzzTCxduhQA0NPTA5/Pl73gZMyYMQM9PT1VOMvS/OxnP8PLL7+M2267bch99d62t99+G3fddReOP/54/PrXv8bnPvc5/M3f/A3uv/9+AMi2YcaMGXm/Vw/t+7u/+zv8xV/8BU444QTouo5ly5bh+uuvxxVXXAGgvts2WDFt6enpwfTp0/Pu1zQNnZ2dddfeVCqFL3/5y7j88suzm/PVc/u++c1vQtM0/M3f/E3B++u5bQcPHkQsFsPtt9+OVatW4amnnsIll1yCSy+9FBs3bgRQ39fRH/zgBzjppJMwZ84c+Hw+rFq1Cj/60Y9w1llnAajvtjX87tfDufbaa7Fjxw787ne/q/aplMW7776LL3zhC3j66afz5nMbheu6OO200/DP//zPAIBly5Zhx44duPvuu/HpT3+6ymc3Pr/4xS/wwAMP4MEHH8SSJUuwbds2XH/99Zg1a1bdt20ysywL//f//l9IKXHXXXdV+3TGbcuWLfjXf/1XvPzyyxBCVPt0ys51XQDAxz/+cdxwww0AgFNPPRW///3vcffdd+Pss8+u5umN2w9+8AO88MILeOyxxzB//nxs2rQJ1157LWbNmjVkBL/eTMoRmeuuuw5PPPEEnnnmGcyZMyd7e1dXF0zTRDgcznt8b28vurq6JvgsS7NlyxYcPHgQ73//+6FpGjRNw8aNG/H9738fmqZhxowZdds2AJg5cyZOOumkvNtOPPHE7GqCTBsGZ9jXQ/u+9KUvZUdlTj75ZKxZswY33HBDdmStnts2WDFt6erqwsGDB/Put20bfX19ddPeTBCzd+9ePP3009nRGKB+2/e///u/OHjwIObNm5e9xuzduxdf/OIXccwxxwCo37YBwNSpU6Fp2qjXmXq8jiaTSfz93/89vvOd7+Ciiy7CKaecguuuuw6f+MQn8C//8i8A6rdtwCQLZKSUuO666/Doo4/it7/9LRYsWJB3//Lly6HrOjZs2JC9bdeuXdi3bx9WrFgx0adbknPPPRfbt2/Htm3bsj+nnXYarrjiiux/12vbAODMM88cslR+9+7dmD9/PgBgwYIF6OrqymtfJBLBiy++WPPtSyQSUJT8P0VVVbPfEOu5bYMV05YVK1YgHA5jy5Yt2cf89re/heu6OP300yf8nEuVCWLeeOMN/OY3v8GUKVPy7q/X9q1ZswavvPJK3jVm1qxZ+NKXvoRf//rXAOq3bQDg8/nwgQ98YMTrTL32EZZlwbKsEa8z9do2AJNr1dLnPvc52dbWJp999ll54MCB7E8ikcg+5uqrr5bz5s2Tv/3tb+XmzZvlihUr5IoVK6p41mOXu2pJyvpu20svvSQ1TZP/9E//JN944w35wAMPyFAoJP/zP/8z+5jbb79dtre3y1/+8pfylVdekR//+MflggULZDKZrOKZj+7Tn/60nD17tnziiSfknj175COPPCKnTp0qb7rppuxj6qlt0WhUbt26VW7dulUCkN/5znfk1q1bs6t2imnLqlWr5LJly+SLL74of/e738njjz9eXn755dVqUp6R2meapvzYxz4m58yZI7dt25Z3nTEMI3uMWm3faO/dYINXLUlZu22TcvT2PfLII1LXdfnjH/9YvvHGG/IHP/iBVFVV/u///m/2GLV6HR2tbWeffbZcsmSJfOaZZ+Tbb78t7733XhkIBOSdd96ZPUattm00kyqQAVDw5957780+JplMymuuuUZ2dHTIUCgkL7nkEnngwIHqnfQ4DA5k6r1tjz/+uFy6dKn0+/3yhBNOkD/+8Y/z7nddV65du1bOmDFD+v1+ee6558pdu3ZV6WyLF4lE5Be+8AU5b948GQgE5LHHHiu/+tWv5nV89dS2Z555puDf2ac//WkpZXFtOXLkiLz88stlc3OzbG1tlX/9138to9FoFVoz1Ejt27Nnz7DXmWeeeSZ7jFpt32jv3WCFAplabZuUxbXvnnvukccdd5wMBALyfe97n1y3bl3eMWr1Ojpa2w4cOCD/6q/+Ss6aNUsGAgG5ePFi+e1vf1u6rps9Rq22bTRCypzyoURERER1ZFLlyBAREVFjYSBDREREdYuBDBEREdUtBjJERERUtxjIEBERUd1iIENERER1i4EMERER1S0GMkRERFS3GMgQERFR3WIgQ0RVJ4QY8ecf/uEf8M477+TdNmXKFKxcuRJbt27NHuecc86BEAK33377kOe44IILssciosbBQIaIqu7AgQPZn+9973tobW3Nu+1v//Zvs4/9zW9+gwMHDuDXv/41YrEYVq9ejXA4nL1/7ty5uO+++/KO393djQ0bNmDmzJkT1CIimigMZIio6rq6urI/bW1tEELk3dbc3Jx97JQpU9DV1YXTTjsN//Iv/4Le3l68+OKL2fsvvPBCHD58GM8991z2tvvvvx8rV67E9OnTJ7RdRFR5DGSIqG4Fg0EAgGma2dt8Ph+uuOIK3Hvvvdnb7rvvPlx55ZUTfn5EVHkMZIioLoXDYdx6661obm7GBz/4wbz7rrzySvziF79APB7Hpk2bMDAwgAsvvLBKZ0pElaRV+wSIiErxoQ99CIqiIB6P49hjj8XPf/5zzJgxI+8x73vf+3D88cfjv/7rv/DMM89gzZo10DRe7ogaEf+yiaiu/PznP8dJJ52EKVOmoL29fdjHXXnllfjRj36E1157DS+99NLEnSARTShOLRFRXZk7dy4WLlw4YhADAH/5l3+J7du3Y+nSpTjppJMm5uSIaMJxRIaIGlJHRwcOHDgAXderfSpEVEEMZIioYY02akNE9U9IKWW1T4KIiIhoLJgjQ0RERHWLgQwRERHVLQYyREREVLcYyBAREVHdYiBDREREdYuBDBEREdUtBjJERERUtxjIEBERUd1iIENERER1i4EMERER1S0GMkRERFS3/j+7N4Xn1kWHSQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot(kind=\"scatter\", x=\"TPM\", y=\"MEDV\", alpha=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7e6fac2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = strat_train_set.drop(\"MEDV\", axis=1)\n",
    "data_labels = strat_train_set[\"MEDV\"].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dfded18",
   "metadata": {},
   "source": [
    "## Missing Attributes\n",
    "\n",
    "To take care of missing attributes, we have 3 options:\n",
    "1. Get rid of the missing data points.\n",
    "1. Get rid of the whole attribute.\n",
    "1. Set the value to some value (0 or mean or median)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "2fee6c9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(399, 13)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Option 1\n",
    "\n",
    "opt1 = data.dropna(subset=[\"RM\"])\n",
    "opt1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e027695e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(404, 12)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Option 2\n",
    "\n",
    "opt2 = data.drop(\"RM\", axis=1)\n",
    "opt2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d10f233b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254    6.108\n",
       "348    6.635\n",
       "476    6.484\n",
       "321    6.376\n",
       "326    6.312\n",
       "       ...  \n",
       "155    6.152\n",
       "423    6.103\n",
       "98     7.820\n",
       "455    6.525\n",
       "216    5.888\n",
       "Name: RM, Length: 404, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Option 3 - Set median as missing values.\n",
    "\n",
    "median = data[\"RM\"].median()\n",
    "data[\"RM\"].fillna(median)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f24f7ec6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer = SimpleImputer(strategy=\"median\")\n",
    "imputer.fit(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4bf75faf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.86735e-01, 0.00000e+00, 9.90000e+00, 0.00000e+00, 5.38000e-01,\n",
       "       6.20900e+00, 7.82000e+01, 3.12220e+00, 5.00000e+00, 3.37000e+02,\n",
       "       1.90000e+01, 3.90955e+02, 1.15700e+01])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e519bff4",
   "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.602814</td>\n",
       "      <td>10.836634</td>\n",
       "      <td>11.344950</td>\n",
       "      <td>0.069307</td>\n",
       "      <td>0.558064</td>\n",
       "      <td>6.278609</td>\n",
       "      <td>69.039851</td>\n",
       "      <td>3.746210</td>\n",
       "      <td>9.735149</td>\n",
       "      <td>412.341584</td>\n",
       "      <td>18.473267</td>\n",
       "      <td>353.392822</td>\n",
       "      <td>12.791609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.099383</td>\n",
       "      <td>22.150636</td>\n",
       "      <td>6.877817</td>\n",
       "      <td>0.254290</td>\n",
       "      <td>0.116875</td>\n",
       "      <td>0.712366</td>\n",
       "      <td>28.258248</td>\n",
       "      <td>2.099057</td>\n",
       "      <td>8.731259</td>\n",
       "      <td>168.672623</td>\n",
       "      <td>2.129243</td>\n",
       "      <td>96.069235</td>\n",
       "      <td>7.235740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.389000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.086962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.453000</td>\n",
       "      <td>5.878750</td>\n",
       "      <td>44.850000</td>\n",
       "      <td>2.035975</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>374.617500</td>\n",
       "      <td>6.847500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.286735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.209000</td>\n",
       "      <td>78.200000</td>\n",
       "      <td>3.122200</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>390.955000</td>\n",
       "      <td>11.570000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.731923</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.631000</td>\n",
       "      <td>6.630000</td>\n",
       "      <td>94.100000</td>\n",
       "      <td>5.100400</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>395.630000</td>\n",
       "      <td>17.102500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>73.534100</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>36.980000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean     3.602814   10.836634   11.344950    0.069307    0.558064    6.278609   \n",
       "std      8.099383   22.150636    6.877817    0.254290    0.116875    0.712366   \n",
       "min      0.006320    0.000000    0.740000    0.000000    0.389000    3.561000   \n",
       "25%      0.086962    0.000000    5.190000    0.000000    0.453000    5.878750   \n",
       "50%      0.286735    0.000000    9.900000    0.000000    0.538000    6.209000   \n",
       "75%      3.731923   12.500000   18.100000    0.000000    0.631000    6.630000   \n",
       "max     73.534100  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean    69.039851    3.746210    9.735149  412.341584   18.473267  353.392822   \n",
       "std     28.258248    2.099057    8.731259  168.672623    2.129243   96.069235   \n",
       "min      2.900000    1.129600    1.000000  187.000000   13.000000    0.320000   \n",
       "25%     44.850000    2.035975    4.000000  284.000000   17.400000  374.617500   \n",
       "50%     78.200000    3.122200    5.000000  337.000000   19.000000  390.955000   \n",
       "75%     94.100000    5.100400   24.000000  666.000000   20.200000  395.630000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT  \n",
       "count  404.000000  \n",
       "mean    12.791609  \n",
       "std      7.235740  \n",
       "min      1.730000  \n",
       "25%      6.847500  \n",
       "50%     11.570000  \n",
       "75%     17.102500  \n",
       "max     36.980000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = imputer.transform(data)\n",
    "housing_data = pd.DataFrame(X, columns=data.columns)\n",
    "housing_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00c47da5",
   "metadata": {},
   "source": [
    "## Creating a Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b4c8dcf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "pipeline = Pipeline([\n",
    "    ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "    ('scaler', StandardScaler()),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "45817d02",
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_num_tr = pipeline.fit_transform(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60455718",
   "metadata": {},
   "source": [
    "## Selecting and Evaluating a model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a9f85740",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_scores(model):\n",
    "    scores = cross_val_score(model, housing_num_tr, data_labels, scoring=\"neg_mean_squared_error\", cv=10)\n",
    "    rmse_scores = np.sqrt(-scores)\n",
    "    \n",
    "    print(\"Scores:\", rmse_scores)\n",
    "    print(\"Mean:\", rmse_scores.mean())\n",
    "    print(\"Standard Deviation:\", rmse_scores.std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b7408ffe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error: 4.835301058716238\n",
      "Scores: [4.22235612 4.26438649 5.09424333 3.83081183 5.37600331 4.41092152\n",
      " 7.47272243 5.48554135 4.14606627 6.0717752 ]\n",
      "Mean: 5.037482786117751\n",
      "Standard Deviation: 1.059438240560695\n"
     ]
    }
   ],
   "source": [
    "model = LinearRegression()\n",
    "model.fit(housing_num_tr, data_labels)\n",
    "\n",
    "data_predictions = model.predict(housing_num_tr)\n",
    "mse = mean_squared_error(data_labels, data_predictions)\n",
    "rmse = np.sqrt(mse)\n",
    "\n",
    "print(\"Root Mean Squared Error:\", rmse)\n",
    "\n",
    "print_scores(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e24d7f3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error: 0.0\n",
      "Scores: [3.84308057 4.57650415 5.24883262 4.02779974 4.10517966 3.13874975\n",
      " 5.11993652 4.02119385 3.51877109 3.90112163]\n",
      "Mean: 4.150116959297707\n",
      "Standard Deviation: 0.6277631250899747\n"
     ]
    }
   ],
   "source": [
    "## Now let's try Decision Tree.\n",
    "\n",
    "model = DecisionTreeRegressor()\n",
    "model.fit(housing_num_tr, data_labels)\n",
    "\n",
    "data_predictions = model.predict(housing_num_tr)\n",
    "mse = mean_squared_error(data_labels, data_predictions)\n",
    "rmse = np.sqrt(mse)\n",
    "\n",
    "print(\"Root Mean Squared Error:\", rmse)\n",
    "\n",
    "print_scores(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c94e5e1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error: 1.2196941235205208\n",
      "Scores: [2.90120428 2.7891168  4.28298235 2.58702252 3.56978903 2.77705267\n",
      " 4.9168803  3.43583948 3.51924455 3.33460796]\n",
      "Mean: 3.4113739950362083\n",
      "Standard Deviation: 0.6927387228860692\n"
     ]
    }
   ],
   "source": [
    "## Now let's try random Forest.\n",
    "\n",
    "model = RandomForestRegressor()\n",
    "model.fit(housing_num_tr, data_labels)\n",
    "\n",
    "data_predictions = model.predict(housing_num_tr)\n",
    "mse = mean_squared_error(data_labels, data_predictions)\n",
    "rmse = np.sqrt(mse)\n",
    "\n",
    "print(\"Root Mean Squared Error:\", rmse)\n",
    "\n",
    "print_scores(model)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55f2d12d",
   "metadata": {},
   "source": [
    "## Save the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ee80ac23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Housung_predictor.joblib']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dump(model, \"Housung_predictor.joblib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0f455c8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.945725337621598"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Testing the model\n",
    "\n",
    "X_test = strat_test_set.drop(\"MEDV\", axis=1)\n",
    "Y_test = strat_test_set[\"MEDV\"].copy()\n",
    "X_test_prepared = pipeline.transform(X_test)\n",
    "\n",
    "final_predictions = model.predict(X_test_prepared)\n",
    "final_mse = mean_squared_error(Y_test, final_predictions)\n",
    "final_rmse = np.sqrt(final_mse)\n",
    "\n",
    "final_rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ebe965c2",
   "metadata": {},
   "source": [
    "## How to load model and make predictions in future"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "156c0604",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([25.104])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = load(\"Housung_predictor.joblib\")\n",
    "features = np.array([[-5.43942006, 4.12628155, -1.6165014, -0.67288841, -1.42262747,\n",
    "       -11.44443979304, -49.31238772,  7.61111401, -26.0016879 , -0.5778192 ,\n",
    "       -0.97491834,  0.41164221, -66.86091034]])\n",
    "model.predict(features)"
   ]
  }
 ],
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