Boston_House_price_prediction_ML_model.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5Y3vg3zDApyt"
      },
      "source": [
        "**Boston House price prediction ML model.**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "lgPRnAHYBXXq"
      },
      "outputs": [],
      "source": [
        "# import Packages \n",
        "import pandas as pd\n",
        "import numpy as np \n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BsExl8tNFvwc"
      },
      "source": [
        "**Preparing the Dataset**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Mco1VGUWEsul",
        "outputId": "c7bcc10a-f77d-4663-b68a-af30671aa598"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
            "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296.0   \n",
            "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242.0   \n",
            "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242.0   \n",
            "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222.0   \n",
            "4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222.0   \n",
            "\n",
            "   PTRATIO       B  LSTAT  price  \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  \n"
          ]
        }
      ],
      "source": [
        "from pandas import read_csv\n",
        "column_names = ['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD', 'TAX', 'PTRATIO', 'B', 'LSTAT', 'price']\n",
        "dataset = read_csv('housing.csv', header=None, delimiter=r\"\\s+\", names=column_names)\n",
        "print(dataset.head())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xcdjYZWuGyFR",
        "outputId": "3b32b970-3ba4-4407-aaf4-e3f900fa89c7"
      },
      "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       506 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    float64\n",
            " 10  PTRATIO  506 non-null    float64\n",
            " 11  B        506 non-null    float64\n",
            " 12  LSTAT    506 non-null    float64\n",
            " 13  price    506 non-null    float64\n",
            "dtypes: float64(12), int64(2)\n",
            "memory usage: 55.5 KB\n"
          ]
        }
      ],
      "source": [
        "# Information of the Dataset\n",
        "dataset.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "5tFd-UF0IO3O",
        "outputId": "4c95e28a-a869-4a6e-8801-719797be819c"
      },
      "outputs": [
        {
          "data": {
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              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "</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>price</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>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",
              "      <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>6.284634</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>0.702617</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>5.885500</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>6.208500</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>6.623500</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  506.000000   \n",
              "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
              "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.702617   \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    5.885500   \n",
              "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
              "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.623500   \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       price  \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": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Summarize the statistics of the Dataset\n",
        "dataset.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RQ-DBGfvInem",
        "outputId": "a09ab81f-5045-410a-fc55-1a939ff819b8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "CRIM       0\n",
              "ZN         0\n",
              "INDUS      0\n",
              "CHAS       0\n",
              "NOX        0\n",
              "RM         0\n",
              "AGE        0\n",
              "DIS        0\n",
              "RAD        0\n",
              "TAX        0\n",
              "PTRATIO    0\n",
              "B          0\n",
              "LSTAT      0\n",
              "price      0\n",
              "dtype: int64"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# check the missing value \n",
        "dataset.isnull().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1xxudLVNKPTD"
      },
      "source": [
        "**EDA - Exploratory Data Analysis**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "RGk7bz9QI7er",
        "outputId": "bbe643ce-3fd9-49c3-c862-ed73b83ba2dc"
      },
      "outputs": [
        {
          "data": {
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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>price</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>CRIM</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.200469</td>\n",
              "      <td>0.406583</td>\n",
              "      <td>-0.055892</td>\n",
              "      <td>0.420972</td>\n",
              "      <td>-0.219247</td>\n",
              "      <td>0.352734</td>\n",
              "      <td>-0.379670</td>\n",
              "      <td>0.625505</td>\n",
              "      <td>0.582764</td>\n",
              "      <td>0.289946</td>\n",
              "      <td>-0.385064</td>\n",
              "      <td>0.455621</td>\n",
              "      <td>-0.388305</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ZN</th>\n",
              "      <td>-0.200469</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.533828</td>\n",
              "      <td>-0.042697</td>\n",
              "      <td>-0.516604</td>\n",
              "      <td>0.311991</td>\n",
              "      <td>-0.569537</td>\n",
              "      <td>0.664408</td>\n",
              "      <td>-0.311948</td>\n",
              "      <td>-0.314563</td>\n",
              "      <td>-0.391679</td>\n",
              "      <td>0.175520</td>\n",
              "      <td>-0.412995</td>\n",
              "      <td>0.360445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>INDUS</th>\n",
              "      <td>0.406583</td>\n",
              "      <td>-0.533828</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.062938</td>\n",
              "      <td>0.763651</td>\n",
              "      <td>-0.391676</td>\n",
              "      <td>0.644779</td>\n",
              "      <td>-0.708027</td>\n",
              "      <td>0.595129</td>\n",
              "      <td>0.720760</td>\n",
              "      <td>0.383248</td>\n",
              "      <td>-0.356977</td>\n",
              "      <td>0.603800</td>\n",
              "      <td>-0.483725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CHAS</th>\n",
              "      <td>-0.055892</td>\n",
              "      <td>-0.042697</td>\n",
              "      <td>0.062938</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.091203</td>\n",
              "      <td>0.091251</td>\n",
              "      <td>0.086518</td>\n",
              "      <td>-0.099176</td>\n",
              "      <td>-0.007368</td>\n",
              "      <td>-0.035587</td>\n",
              "      <td>-0.121515</td>\n",
              "      <td>0.048788</td>\n",
              "      <td>-0.053929</td>\n",
              "      <td>0.175260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NOX</th>\n",
              "      <td>0.420972</td>\n",
              "      <td>-0.516604</td>\n",
              "      <td>0.763651</td>\n",
              "      <td>0.091203</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.302188</td>\n",
              "      <td>0.731470</td>\n",
              "      <td>-0.769230</td>\n",
              "      <td>0.611441</td>\n",
              "      <td>0.668023</td>\n",
              "      <td>0.188933</td>\n",
              "      <td>-0.380051</td>\n",
              "      <td>0.590879</td>\n",
              "      <td>-0.427321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RM</th>\n",
              "      <td>-0.219247</td>\n",
              "      <td>0.311991</td>\n",
              "      <td>-0.391676</td>\n",
              "      <td>0.091251</td>\n",
              "      <td>-0.302188</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.240265</td>\n",
              "      <td>0.205246</td>\n",
              "      <td>-0.209847</td>\n",
              "      <td>-0.292048</td>\n",
              "      <td>-0.355501</td>\n",
              "      <td>0.128069</td>\n",
              "      <td>-0.613808</td>\n",
              "      <td>0.695360</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>AGE</th>\n",
              "      <td>0.352734</td>\n",
              "      <td>-0.569537</td>\n",
              "      <td>0.644779</td>\n",
              "      <td>0.086518</td>\n",
              "      <td>0.731470</td>\n",
              "      <td>-0.240265</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.747881</td>\n",
              "      <td>0.456022</td>\n",
              "      <td>0.506456</td>\n",
              "      <td>0.261515</td>\n",
              "      <td>-0.273534</td>\n",
              "      <td>0.602339</td>\n",
              "      <td>-0.376955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DIS</th>\n",
              "      <td>-0.379670</td>\n",
              "      <td>0.664408</td>\n",
              "      <td>-0.708027</td>\n",
              "      <td>-0.099176</td>\n",
              "      <td>-0.769230</td>\n",
              "      <td>0.205246</td>\n",
              "      <td>-0.747881</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.494588</td>\n",
              "      <td>-0.534432</td>\n",
              "      <td>-0.232471</td>\n",
              "      <td>0.291512</td>\n",
              "      <td>-0.496996</td>\n",
              "      <td>0.249929</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>RAD</th>\n",
              "      <td>0.625505</td>\n",
              "      <td>-0.311948</td>\n",
              "      <td>0.595129</td>\n",
              "      <td>-0.007368</td>\n",
              "      <td>0.611441</td>\n",
              "      <td>-0.209847</td>\n",
              "      <td>0.456022</td>\n",
              "      <td>-0.494588</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.910228</td>\n",
              "      <td>0.464741</td>\n",
              "      <td>-0.444413</td>\n",
              "      <td>0.488676</td>\n",
              "      <td>-0.381626</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TAX</th>\n",
              "      <td>0.582764</td>\n",
              "      <td>-0.314563</td>\n",
              "      <td>0.720760</td>\n",
              "      <td>-0.035587</td>\n",
              "      <td>0.668023</td>\n",
              "      <td>-0.292048</td>\n",
              "      <td>0.506456</td>\n",
              "      <td>-0.534432</td>\n",
              "      <td>0.910228</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.460853</td>\n",
              "      <td>-0.441808</td>\n",
              "      <td>0.543993</td>\n",
              "      <td>-0.468536</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>PTRATIO</th>\n",
              "      <td>0.289946</td>\n",
              "      <td>-0.391679</td>\n",
              "      <td>0.383248</td>\n",
              "      <td>-0.121515</td>\n",
              "      <td>0.188933</td>\n",
              "      <td>-0.355501</td>\n",
              "      <td>0.261515</td>\n",
              "      <td>-0.232471</td>\n",
              "      <td>0.464741</td>\n",
              "      <td>0.460853</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.177383</td>\n",
              "      <td>0.374044</td>\n",
              "      <td>-0.507787</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>B</th>\n",
              "      <td>-0.385064</td>\n",
              "      <td>0.175520</td>\n",
              "      <td>-0.356977</td>\n",
              "      <td>0.048788</td>\n",
              "      <td>-0.380051</td>\n",
              "      <td>0.128069</td>\n",
              "      <td>-0.273534</td>\n",
              "      <td>0.291512</td>\n",
              "      <td>-0.444413</td>\n",
              "      <td>-0.441808</td>\n",
              "      <td>-0.177383</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.366087</td>\n",
              "      <td>0.333461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>LSTAT</th>\n",
              "      <td>0.455621</td>\n",
              "      <td>-0.412995</td>\n",
              "      <td>0.603800</td>\n",
              "      <td>-0.053929</td>\n",
              "      <td>0.590879</td>\n",
              "      <td>-0.613808</td>\n",
              "      <td>0.602339</td>\n",
              "      <td>-0.496996</td>\n",
              "      <td>0.488676</td>\n",
              "      <td>0.543993</td>\n",
              "      <td>0.374044</td>\n",
              "      <td>-0.366087</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.737663</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>price</th>\n",
              "      <td>-0.388305</td>\n",
              "      <td>0.360445</td>\n",
              "      <td>-0.483725</td>\n",
              "      <td>0.175260</td>\n",
              "      <td>-0.427321</td>\n",
              "      <td>0.695360</td>\n",
              "      <td>-0.376955</td>\n",
              "      <td>0.249929</td>\n",
              "      <td>-0.381626</td>\n",
              "      <td>-0.468536</td>\n",
              "      <td>-0.507787</td>\n",
              "      <td>0.333461</td>\n",
              "      <td>-0.737663</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             CRIM        ZN     INDUS      CHAS       NOX        RM       AGE  \\\n",
              "CRIM     1.000000 -0.200469  0.406583 -0.055892  0.420972 -0.219247  0.352734   \n",
              "ZN      -0.200469  1.000000 -0.533828 -0.042697 -0.516604  0.311991 -0.569537   \n",
              "INDUS    0.406583 -0.533828  1.000000  0.062938  0.763651 -0.391676  0.644779   \n",
              "CHAS    -0.055892 -0.042697  0.062938  1.000000  0.091203  0.091251  0.086518   \n",
              "NOX      0.420972 -0.516604  0.763651  0.091203  1.000000 -0.302188  0.731470   \n",
              "RM      -0.219247  0.311991 -0.391676  0.091251 -0.302188  1.000000 -0.240265   \n",
              "AGE      0.352734 -0.569537  0.644779  0.086518  0.731470 -0.240265  1.000000   \n",
              "DIS     -0.379670  0.664408 -0.708027 -0.099176 -0.769230  0.205246 -0.747881   \n",
              "RAD      0.625505 -0.311948  0.595129 -0.007368  0.611441 -0.209847  0.456022   \n",
              "TAX      0.582764 -0.314563  0.720760 -0.035587  0.668023 -0.292048  0.506456   \n",
              "PTRATIO  0.289946 -0.391679  0.383248 -0.121515  0.188933 -0.355501  0.261515   \n",
              "B       -0.385064  0.175520 -0.356977  0.048788 -0.380051  0.128069 -0.273534   \n",
              "LSTAT    0.455621 -0.412995  0.603800 -0.053929  0.590879 -0.613808  0.602339   \n",
              "price   -0.388305  0.360445 -0.483725  0.175260 -0.427321  0.695360 -0.376955   \n",
              "\n",
              "              DIS       RAD       TAX   PTRATIO         B     LSTAT     price  \n",
              "CRIM    -0.379670  0.625505  0.582764  0.289946 -0.385064  0.455621 -0.388305  \n",
              "ZN       0.664408 -0.311948 -0.314563 -0.391679  0.175520 -0.412995  0.360445  \n",
              "INDUS   -0.708027  0.595129  0.720760  0.383248 -0.356977  0.603800 -0.483725  \n",
              "CHAS    -0.099176 -0.007368 -0.035587 -0.121515  0.048788 -0.053929  0.175260  \n",
              "NOX     -0.769230  0.611441  0.668023  0.188933 -0.380051  0.590879 -0.427321  \n",
              "RM       0.205246 -0.209847 -0.292048 -0.355501  0.128069 -0.613808  0.695360  \n",
              "AGE     -0.747881  0.456022  0.506456  0.261515 -0.273534  0.602339 -0.376955  \n",
              "DIS      1.000000 -0.494588 -0.534432 -0.232471  0.291512 -0.496996  0.249929  \n",
              "RAD     -0.494588  1.000000  0.910228  0.464741 -0.444413  0.488676 -0.381626  \n",
              "TAX     -0.534432  0.910228  1.000000  0.460853 -0.441808  0.543993 -0.468536  \n",
              "PTRATIO -0.232471  0.464741  0.460853  1.000000 -0.177383  0.374044 -0.507787  \n",
              "B        0.291512 -0.444413 -0.441808 -0.177383  1.000000 -0.366087  0.333461  \n",
              "LSTAT   -0.496996  0.488676  0.543993  0.374044 -0.366087  1.000000 -0.737663  \n",
              "price    0.249929 -0.381626 -0.468536 -0.507787  0.333461 -0.737663  1.000000  "
            ]
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Check the Correlated features\n",
        "dataset.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "4zvrD3_7K7il",
        "outputId": "3cd61d39-3a9c-4316-8847-914d93fe5adf"
      },
      "outputs": [
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plotting between Independant and Dependent Features\n",
        "# RM vs price (strong positive correlation)\n",
        "plt.scatter(dataset['RM'], dataset['price'])\n",
        "plt.xlabel('RM')\n",
        "plt.ylabel('price')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m5qM9EMFttgu"
      },
      "source": [
        "The above Scatter plot shows that when 'RM' increases the 'price' also increases(Strong Postive Correlation)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "fTt98PfRq_DC",
        "outputId": "4c637aeb-b37c-4e4a-ade4-8a0942a1151d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# LSTAT vs price (Strong Negative Correlation)\n",
        "plt.scatter(dataset['LSTAT'], dataset['price'])\n",
        "plt.xlabel('LSTAT')\n",
        "plt.ylabel('price')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RlIYEAZCvG8v"
      },
      "source": [
        "The above Scatter plot shows that when 'LSTAT' increases the 'price' decreases((Strong Postive Correlation)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "NpCMqmNusswH",
        "outputId": "891c6e94-1a5d-44c9-9b6c-ef816e03fdae"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#Regression Plot between 'RM' and 'price'.\n",
        "sns.regplot(x='RM', y='price', data=dataset)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 285
        },
        "id": "NtzJ1Fe4tKJC",
        "outputId": "b7c8737f-f1b7-4391-9c1c-a4b8b8da038f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#Regression Plot between 'LSTAT' and 'price'.\n",
        "sns.regplot(x='LSTAT', y='price', data = dataset)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 504
        },
        "id": "1O04H6zStoHC",
        "outputId": "3799dd3e-04bb-4a5f-fb63-8d0b9265f9b2"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1170x827 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Plotting a Heatmap between Independant and Dependent Features\n",
        "corr = dataset.corr().round(2)\n",
        "sns.set(rc={'figure.figsize':(11.7,8.27)})\n",
        "sns.heatmap(data=corr, annot=True)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FRuKCi5exqIe"
      },
      "source": [
        "**Spliting the Data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "dDbUj3i4wsNl"
      },
      "outputs": [],
      "source": [
        "# split the Independent and dependent features\n",
        "\n",
        "X = dataset.iloc[:, :-1]\n",
        "y = dataset.iloc[:, -1 ]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "j9dU2Cx6yPLu",
        "outputId": "feef0918-b97e-44c9-8160-d56c5b6924c8"
      },
      "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>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>296.0</td>\n",
              "      <td>15.3</td>\n",
              "      <td>396.90</td>\n",
              "      <td>4.98</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>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>396.90</td>\n",
              "      <td>9.14</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>242.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>392.83</td>\n",
              "      <td>4.03</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>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>394.63</td>\n",
              "      <td>2.94</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>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>396.90</td>\n",
              "      <td>5.33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>0.06263</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.93</td>\n",
              "      <td>0</td>\n",
              "      <td>0.573</td>\n",
              "      <td>6.593</td>\n",
              "      <td>69.1</td>\n",
              "      <td>2.4786</td>\n",
              "      <td>1</td>\n",
              "      <td>273.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>391.99</td>\n",
              "      <td>9.67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>0.04527</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.93</td>\n",
              "      <td>0</td>\n",
              "      <td>0.573</td>\n",
              "      <td>6.120</td>\n",
              "      <td>76.7</td>\n",
              "      <td>2.2875</td>\n",
              "      <td>1</td>\n",
              "      <td>273.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>396.90</td>\n",
              "      <td>9.08</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>503</th>\n",
              "      <td>0.06076</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.93</td>\n",
              "      <td>0</td>\n",
              "      <td>0.573</td>\n",
              "      <td>6.976</td>\n",
              "      <td>91.0</td>\n",
              "      <td>2.1675</td>\n",
              "      <td>1</td>\n",
              "      <td>273.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>396.90</td>\n",
              "      <td>5.64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>504</th>\n",
              "      <td>0.10959</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.93</td>\n",
              "      <td>0</td>\n",
              "      <td>0.573</td>\n",
              "      <td>6.794</td>\n",
              "      <td>89.3</td>\n",
              "      <td>2.3889</td>\n",
              "      <td>1</td>\n",
              "      <td>273.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>393.45</td>\n",
              "      <td>6.48</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>505</th>\n",
              "      <td>0.04741</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.93</td>\n",
              "      <td>0</td>\n",
              "      <td>0.573</td>\n",
              "      <td>6.030</td>\n",
              "      <td>80.8</td>\n",
              "      <td>2.5050</td>\n",
              "      <td>1</td>\n",
              "      <td>273.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>396.90</td>\n",
              "      <td>7.88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>506 rows × 13 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
              "0    0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296.0   \n",
              "1    0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242.0   \n",
              "2    0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242.0   \n",
              "3    0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222.0   \n",
              "4    0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222.0   \n",
              "..       ...   ...    ...   ...    ...    ...   ...     ...  ...    ...   \n",
              "501  0.06263   0.0  11.93     0  0.573  6.593  69.1  2.4786    1  273.0   \n",
              "502  0.04527   0.0  11.93     0  0.573  6.120  76.7  2.2875    1  273.0   \n",
              "503  0.06076   0.0  11.93     0  0.573  6.976  91.0  2.1675    1  273.0   \n",
              "504  0.10959   0.0  11.93     0  0.573  6.794  89.3  2.3889    1  273.0   \n",
              "505  0.04741   0.0  11.93     0  0.573  6.030  80.8  2.5050    1  273.0   \n",
              "\n",
              "     PTRATIO       B  LSTAT  \n",
              "0       15.3  396.90   4.98  \n",
              "1       17.8  396.90   9.14  \n",
              "2       17.8  392.83   4.03  \n",
              "3       18.7  394.63   2.94  \n",
              "4       18.7  396.90   5.33  \n",
              "..       ...     ...    ...  \n",
              "501     21.0  391.99   9.67  \n",
              "502     21.0  396.90   9.08  \n",
              "503     21.0  396.90   5.64  \n",
              "504     21.0  393.45   6.48  \n",
              "505     21.0  396.90   7.88  \n",
              "\n",
              "[506 rows x 13 columns]"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HMZjHIxHyVvz",
        "outputId": "39e3fcf6-d693-4afd-8ba5-061e7c3c3add"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0      24.0\n",
              "1      21.6\n",
              "2      34.7\n",
              "3      33.4\n",
              "4      36.2\n",
              "       ... \n",
              "501    22.4\n",
              "502    20.6\n",
              "503    23.9\n",
              "504    22.0\n",
              "505    11.9\n",
              "Name: price, Length: 506, dtype: float64"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "Xd85w_6_ybkk"
      },
      "outputs": [],
      "source": [
        "# train_test_split \n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "qtYyLqcAzaVc",
        "outputId": "7801cc34-86bc-43aa-fdc0-a66e373c3baa"
      },
      "outputs": [
        {
          "data": {
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              "    }\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>5</th>\n",
              "      <td>0.02985</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.18</td>\n",
              "      <td>0</td>\n",
              "      <td>0.458</td>\n",
              "      <td>6.430</td>\n",
              "      <td>58.7</td>\n",
              "      <td>6.0622</td>\n",
              "      <td>3</td>\n",
              "      <td>222.0</td>\n",
              "      <td>18.7</td>\n",
              "      <td>394.12</td>\n",
              "      <td>5.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>116</th>\n",
              "      <td>0.13158</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.01</td>\n",
              "      <td>0</td>\n",
              "      <td>0.547</td>\n",
              "      <td>6.176</td>\n",
              "      <td>72.5</td>\n",
              "      <td>2.7301</td>\n",
              "      <td>6</td>\n",
              "      <td>432.0</td>\n",
              "      <td>17.8</td>\n",
              "      <td>393.30</td>\n",
              "      <td>12.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>0.17142</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.91</td>\n",
              "      <td>0</td>\n",
              "      <td>0.448</td>\n",
              "      <td>5.682</td>\n",
              "      <td>33.8</td>\n",
              "      <td>5.1004</td>\n",
              "      <td>3</td>\n",
              "      <td>233.0</td>\n",
              "      <td>17.9</td>\n",
              "      <td>396.90</td>\n",
              "      <td>10.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>1.05393</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.14</td>\n",
              "      <td>0</td>\n",
              "      <td>0.538</td>\n",
              "      <td>5.935</td>\n",
              "      <td>29.3</td>\n",
              "      <td>4.4986</td>\n",
              "      <td>4</td>\n",
              "      <td>307.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>386.85</td>\n",
              "      <td>6.58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>468</th>\n",
              "      <td>15.57570</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.580</td>\n",
              "      <td>5.926</td>\n",
              "      <td>71.0</td>\n",
              "      <td>2.9084</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>368.74</td>\n",
              "      <td>18.13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106</th>\n",
              "      <td>0.17120</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.56</td>\n",
              "      <td>0</td>\n",
              "      <td>0.520</td>\n",
              "      <td>5.836</td>\n",
              "      <td>91.9</td>\n",
              "      <td>2.2110</td>\n",
              "      <td>5</td>\n",
              "      <td>384.0</td>\n",
              "      <td>20.9</td>\n",
              "      <td>395.67</td>\n",
              "      <td>18.66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270</th>\n",
              "      <td>0.29916</td>\n",
              "      <td>20.0</td>\n",
              "      <td>6.96</td>\n",
              "      <td>0</td>\n",
              "      <td>0.464</td>\n",
              "      <td>5.856</td>\n",
              "      <td>42.1</td>\n",
              "      <td>4.4290</td>\n",
              "      <td>3</td>\n",
              "      <td>223.0</td>\n",
              "      <td>18.6</td>\n",
              "      <td>388.65</td>\n",
              "      <td>13.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>348</th>\n",
              "      <td>0.01501</td>\n",
              "      <td>80.0</td>\n",
              "      <td>2.01</td>\n",
              "      <td>0</td>\n",
              "      <td>0.435</td>\n",
              "      <td>6.635</td>\n",
              "      <td>29.7</td>\n",
              "      <td>8.3440</td>\n",
              "      <td>4</td>\n",
              "      <td>280.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>390.94</td>\n",
              "      <td>5.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>435</th>\n",
              "      <td>11.16040</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.740</td>\n",
              "      <td>6.629</td>\n",
              "      <td>94.6</td>\n",
              "      <td>2.1247</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>109.85</td>\n",
              "      <td>23.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102</th>\n",
              "      <td>0.22876</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.56</td>\n",
              "      <td>0</td>\n",
              "      <td>0.520</td>\n",
              "      <td>6.405</td>\n",
              "      <td>85.4</td>\n",
              "      <td>2.7147</td>\n",
              "      <td>5</td>\n",
              "      <td>384.0</td>\n",
              "      <td>20.9</td>\n",
              "      <td>70.80</td>\n",
              "      <td>10.63</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>354 rows × 13 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD    TAX  \\\n",
              "5     0.02985   0.0   2.18     0  0.458  6.430  58.7  6.0622    3  222.0   \n",
              "116   0.13158   0.0  10.01     0  0.547  6.176  72.5  2.7301    6  432.0   \n",
              "45    0.17142   0.0   6.91     0  0.448  5.682  33.8  5.1004    3  233.0   \n",
              "16    1.05393   0.0   8.14     0  0.538  5.935  29.3  4.4986    4  307.0   \n",
              "468  15.57570   0.0  18.10     0  0.580  5.926  71.0  2.9084   24  666.0   \n",
              "..        ...   ...    ...   ...    ...    ...   ...     ...  ...    ...   \n",
              "106   0.17120   0.0   8.56     0  0.520  5.836  91.9  2.2110    5  384.0   \n",
              "270   0.29916  20.0   6.96     0  0.464  5.856  42.1  4.4290    3  223.0   \n",
              "348   0.01501  80.0   2.01     0  0.435  6.635  29.7  8.3440    4  280.0   \n",
              "435  11.16040   0.0  18.10     0  0.740  6.629  94.6  2.1247   24  666.0   \n",
              "102   0.22876   0.0   8.56     0  0.520  6.405  85.4  2.7147    5  384.0   \n",
              "\n",
              "     PTRATIO       B  LSTAT  \n",
              "5       18.7  394.12   5.21  \n",
              "116     17.8  393.30  12.04  \n",
              "45      17.9  396.90  10.21  \n",
              "16      21.0  386.85   6.58  \n",
              "468     20.2  368.74  18.13  \n",
              "..       ...     ...    ...  \n",
              "106     20.9  395.67  18.66  \n",
              "270     18.6  388.65  13.00  \n",
              "348     17.0  390.94   5.99  \n",
              "435     20.2  109.85  23.27  \n",
              "102     20.9   70.80  10.63  \n",
              "\n",
              "[354 rows x 13 columns]"
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "mCXPhufpz1c8",
        "outputId": "f03b299c-e6e3-43c4-d4d4-0243aca21cf9"
      },
      "outputs": [
        {
          "data": {
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              "<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>173</th>\n",
              "      <td>0.09178</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.05</td>\n",
              "      <td>0</td>\n",
              "      <td>0.510</td>\n",
              "      <td>6.416</td>\n",
              "      <td>84.1</td>\n",
              "      <td>2.6463</td>\n",
              "      <td>5</td>\n",
              "      <td>296.0</td>\n",
              "      <td>16.6</td>\n",
              "      <td>395.50</td>\n",
              "      <td>9.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>274</th>\n",
              "      <td>0.05644</td>\n",
              "      <td>40.0</td>\n",
              "      <td>6.41</td>\n",
              "      <td>1</td>\n",
              "      <td>0.447</td>\n",
              "      <td>6.758</td>\n",
              "      <td>32.9</td>\n",
              "      <td>4.0776</td>\n",
              "      <td>4</td>\n",
              "      <td>254.0</td>\n",
              "      <td>17.6</td>\n",
              "      <td>396.90</td>\n",
              "      <td>3.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>491</th>\n",
              "      <td>0.10574</td>\n",
              "      <td>0.0</td>\n",
              "      <td>27.74</td>\n",
              "      <td>0</td>\n",
              "      <td>0.609</td>\n",
              "      <td>5.983</td>\n",
              "      <td>98.8</td>\n",
              "      <td>1.8681</td>\n",
              "      <td>4</td>\n",
              "      <td>711.0</td>\n",
              "      <td>20.1</td>\n",
              "      <td>390.11</td>\n",
              "      <td>18.07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>72</th>\n",
              "      <td>0.09164</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.81</td>\n",
              "      <td>0</td>\n",
              "      <td>0.413</td>\n",
              "      <td>6.065</td>\n",
              "      <td>7.8</td>\n",
              "      <td>5.2873</td>\n",
              "      <td>4</td>\n",
              "      <td>305.0</td>\n",
              "      <td>19.2</td>\n",
              "      <td>390.91</td>\n",
              "      <td>5.52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>452</th>\n",
              "      <td>5.09017</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.713</td>\n",
              "      <td>6.297</td>\n",
              "      <td>91.8</td>\n",
              "      <td>2.3682</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>385.09</td>\n",
              "      <td>17.27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>441</th>\n",
              "      <td>9.72418</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.740</td>\n",
              "      <td>6.406</td>\n",
              "      <td>97.2</td>\n",
              "      <td>2.0651</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>385.96</td>\n",
              "      <td>19.52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0.98843</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.14</td>\n",
              "      <td>0</td>\n",
              "      <td>0.538</td>\n",
              "      <td>5.813</td>\n",
              "      <td>100.0</td>\n",
              "      <td>4.0952</td>\n",
              "      <td>4</td>\n",
              "      <td>307.0</td>\n",
              "      <td>21.0</td>\n",
              "      <td>394.54</td>\n",
              "      <td>19.88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>225</th>\n",
              "      <td>0.52693</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.20</td>\n",
              "      <td>0</td>\n",
              "      <td>0.504</td>\n",
              "      <td>8.725</td>\n",
              "      <td>83.0</td>\n",
              "      <td>2.8944</td>\n",
              "      <td>8</td>\n",
              "      <td>307.0</td>\n",
              "      <td>17.4</td>\n",
              "      <td>382.00</td>\n",
              "      <td>4.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>433</th>\n",
              "      <td>5.58107</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.713</td>\n",
              "      <td>6.436</td>\n",
              "      <td>87.9</td>\n",
              "      <td>2.3158</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>100.19</td>\n",
              "      <td>16.22</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>447</th>\n",
              "      <td>9.92485</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18.10</td>\n",
              "      <td>0</td>\n",
              "      <td>0.740</td>\n",
              "      <td>6.251</td>\n",
              "      <td>96.6</td>\n",
              "      <td>2.1980</td>\n",
              "      <td>24</td>\n",
              "      <td>666.0</td>\n",
              "      <td>20.2</td>\n",
              "      <td>388.52</td>\n",
              "      <td>16.44</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>152 rows × 13 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        CRIM    ZN  INDUS  CHAS    NOX     RM    AGE     DIS  RAD    TAX  \\\n",
              "173  0.09178   0.0   4.05     0  0.510  6.416   84.1  2.6463    5  296.0   \n",
              "274  0.05644  40.0   6.41     1  0.447  6.758   32.9  4.0776    4  254.0   \n",
              "491  0.10574   0.0  27.74     0  0.609  5.983   98.8  1.8681    4  711.0   \n",
              "72   0.09164   0.0  10.81     0  0.413  6.065    7.8  5.2873    4  305.0   \n",
              "452  5.09017   0.0  18.10     0  0.713  6.297   91.8  2.3682   24  666.0   \n",
              "..       ...   ...    ...   ...    ...    ...    ...     ...  ...    ...   \n",
              "441  9.72418   0.0  18.10     0  0.740  6.406   97.2  2.0651   24  666.0   \n",
              "23   0.98843   0.0   8.14     0  0.538  5.813  100.0  4.0952    4  307.0   \n",
              "225  0.52693   0.0   6.20     0  0.504  8.725   83.0  2.8944    8  307.0   \n",
              "433  5.58107   0.0  18.10     0  0.713  6.436   87.9  2.3158   24  666.0   \n",
              "447  9.92485   0.0  18.10     0  0.740  6.251   96.6  2.1980   24  666.0   \n",
              "\n",
              "     PTRATIO       B  LSTAT  \n",
              "173     16.6  395.50   9.04  \n",
              "274     17.6  396.90   3.53  \n",
              "491     20.1  390.11  18.07  \n",
              "72      19.2  390.91   5.52  \n",
              "452     20.2  385.09  17.27  \n",
              "..       ...     ...    ...  \n",
              "441     20.2  385.96  19.52  \n",
              "23      21.0  394.54  19.88  \n",
              "225     17.4  382.00   4.63  \n",
              "433     20.2  100.19  16.22  \n",
              "447     20.2  388.52  16.44  \n",
              "\n",
              "[152 rows x 13 columns]"
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_test"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PXs9K7ksz6pH"
      },
      "source": [
        "**Scaling a Data**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "mRvZgXy4z4wy"
      },
      "outputs": [],
      "source": [
        "# standardize the data\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "scaler = StandardScaler()\n",
        "X_train = scaler.fit_transform(X_train)\n",
        "X_test = scaler.transform(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {},
      "outputs": [],
      "source": [
        "import pickle\n",
        "pickle.dump(scaler,open('scaling.pkl','wb'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kBaVmdxh0odt",
        "outputId": "2f50473b-d794-4364-8fbf-c6627d4eb954"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[-0.41425879, -0.50512499, -1.29214218, ...,  0.18727079,\n",
              "         0.39651419, -1.01531611],\n",
              "       [-0.40200818, -0.50512499, -0.16208345, ..., -0.21208981,\n",
              "         0.3870674 , -0.05366252],\n",
              "       [-0.39721053, -0.50512499, -0.60948856, ..., -0.16771641,\n",
              "         0.42854113, -0.31132373],\n",
              "       ...,\n",
              "       [-0.41604586,  3.03838247, -1.3166773 , ..., -0.56707702,\n",
              "         0.35987906, -0.90549329],\n",
              "       [ 0.92611293, -0.50512499,  1.00549958, ...,  0.8528718 ,\n",
              "        -2.87841346,  1.52750437],\n",
              "       [-0.39030549, -0.50512499, -0.37135358, ...,  1.16348561,\n",
              "        -3.32828832, -0.25218837]])"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train #Standardized Training data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CxgZpXLw0yAw",
        "outputId": "339fe61b-5c8e-45ba-ba0a-2fea2d8d35fe"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[-0.406801  , -0.50512499, -1.02225586, ..., -0.74457062,\n",
              "         0.41241246, -0.47605794],\n",
              "       [-0.41105674,  1.26662874, -0.68165068, ..., -0.30083661,\n",
              "         0.42854113, -1.25185755],\n",
              "       [-0.4051199 , -0.50512499,  2.39678516, ...,  0.8084984 ,\n",
              "         0.35031705,  0.79535229],\n",
              "       ...,\n",
              "       [-0.35439903, -0.50512499, -0.71195877, ..., -0.38958342,\n",
              "         0.25688594, -1.09697922],\n",
              "       [ 0.25423453, -0.50512499,  1.00549958, ...,  0.8528718 ,\n",
              "        -2.98970133,  0.53487511],\n",
              "       [ 0.77732457, -0.50512499,  1.00549958, ...,  0.8528718 ,\n",
              "         0.33199949,  0.56585078]])"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_test #Standardized Test data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mIkZzgRM1Xs7"
      },
      "source": [
        "**Model Training**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "19yrutbY06Wr",
        "outputId": "53792917-6022-4158-aede-9bba11562898"
      },
      "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>LinearRegression()</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\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
            ],
            "text/plain": [
              "LinearRegression()"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Building a Linear Regression model\n",
        "from sklearn.linear_model import LinearRegression\n",
        "regressor = LinearRegression()\n",
        "regressor.fit(X_train, y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ss5zd2je2mvD",
        "outputId": "85d619d8-5088-4ebc-f266-1e214018280a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[-1.10834602  0.80843998  0.34313466  0.81386426 -1.79804295  2.913858\n",
            " -0.29893918 -2.94251148  2.09419303 -1.44706731 -2.05232232  1.02375187\n",
            " -3.88579002]\n"
          ]
        }
      ],
      "source": [
        "# coefficients and intercept\n",
        "print(regressor.coef_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OCOGUc702_9i",
        "outputId": "1b5e524c-5c40-4a5d-a2e6-b406d94837b8"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "23.01581920903955\n"
          ]
        }
      ],
      "source": [
        "print(regressor.intercept_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "eQis2xpH3TfE"
      },
      "outputs": [],
      "source": [
        "# prediction with Test data\n",
        "reg_pred = regressor.predict(X_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ec_5ckO_5Yfj",
        "outputId": "54fe2f35-2d4b-4694-8eac-53c052d109e2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([28.64896005, 36.49501384, 15.4111932 , 25.40321303, 18.85527988,\n",
              "       23.14668944, 17.3921241 , 14.07859899, 23.03692679, 20.59943345,\n",
              "       24.82286159, 18.53057049, -6.86543527, 21.80172334, 19.22571177,\n",
              "       26.19191985, 20.27733882,  5.61596432, 40.44887974, 17.57695918,\n",
              "       27.44319095, 30.1715964 , 10.94055823, 24.02083139, 18.07693812,\n",
              "       15.934748  , 23.12614028, 14.56052142, 22.33482544, 19.3257627 ,\n",
              "       22.16564973, 25.19476081, 25.31372473, 18.51345025, 16.6223286 ,\n",
              "       17.50268505, 30.94992991, 20.19201752, 23.90440431, 24.86975466,\n",
              "       13.93767876, 31.82504715, 42.56978796, 17.62323805, 27.01963242,\n",
              "       17.19006621, 13.80594006, 26.10356557, 20.31516118, 30.08649576,\n",
              "       21.3124053 , 34.15739602, 15.60444981, 26.11247588, 39.31613646,\n",
              "       22.99282065, 18.95764781, 33.05555669, 24.85114223, 12.91729352,\n",
              "       22.68101452, 30.80336295, 31.63522027, 16.29833689, 21.07379993,\n",
              "       16.57699669, 20.36362023, 26.15615896, 31.06833034, 11.98679953,\n",
              "       20.42550472, 27.55676301, 10.94316981, 16.82660609, 23.92909733,\n",
              "        5.28065815, 21.43504661, 41.33684993, 18.22211675,  9.48269245,\n",
              "       21.19857446, 12.95001331, 21.64822797,  9.3845568 , 23.06060014,\n",
              "       31.95762512, 19.16662892, 25.59942257, 29.35043558, 20.13138581,\n",
              "       25.57297369,  5.42970803, 20.23169356, 15.1949595 , 14.03241742,\n",
              "       20.91078077, 24.82249135, -0.47712079, 13.70520524, 15.69525576,\n",
              "       22.06972676, 24.64152943, 10.7382866 , 19.68622564, 23.63678009,\n",
              "       12.07974981, 18.47894211, 25.52713393, 20.93461307, 24.6955941 ,\n",
              "        7.59054562, 19.01046053, 21.9444339 , 27.22319977, 32.18608828,\n",
              "       15.27826455, 34.39190421, 12.96314168, 21.01681316, 28.57880911,\n",
              "       15.86300844, 24.85124135,  3.37937111, 23.90465773, 25.81792146,\n",
              "       23.11020547, 25.33489201, 33.35545176, 20.60724498, 38.4772665 ,\n",
              "       13.97398533, 25.21923987, 17.80946626, 20.63437371,  9.80267398,\n",
              "       21.07953576, 22.3378417 , 32.32381854, 31.48694863, 15.46621287,\n",
              "       16.86242766, 28.99330526, 24.95467894, 16.73633557,  6.12858395,\n",
              "       26.65990044, 23.34007187, 17.40367164, 13.38594123, 39.98342478,\n",
              "       16.68286302, 18.28561759])"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "reg_pred"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "VNvimmCe55Wc",
        "outputId": "032a919f-b29a-4c3d-ba1e-01847167632b"
      },
      "outputs": [
        {
          "data": {
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cgG0s5wYAAIAtvS1Hdns1taq6QcsqazstRw8FA5pTVuT68A/APQjRAAAAsC26HDldVFU3aPHK9d0eb2pp0+KV69Oiig7AHVjODQAAAE+zrIiWVdbGHLO8spal3QCMEKIBAEDc2F+KdFBTH455orgkNba0qaY+nJoJAUhrLOcGAABxYX8p0kW4NXaAtjsOQGajEg0AAGyL7i/tWt2L7i+tqm5waGZAd/m5gb4H2RgHILMRogEAgC3sL0W6mTAqv1tLrq4KgvtPGAeAvhCiAQCALewvRbrx+32aU1YUc8zssiLXt+gC4A6EaAAAYAv7S5GOSosLVVE+uVtFuiAYoL0VAFs4WAwAANjC/lKkq9LiQpUUDVdNfVjh1jbl5+5fwk0FGoAdhGgAAGBLdH9prCXd7C+FW/n9Pk0cHXJ6GgDSGMu5AQCALZm2v5Re2ACAA1GJBgAAtkX3l3btE10QDGi2h/pE0wsbANAVIRoAAMTF6/tLo72wu4r2wuYwKgDITIRoAAAQN6/uLzXthV1SNNwzNw0AAGbYEw0AANAFvbABAL2hEg0AAJLOsiJptey7rwBtdxwAwDsI0QAAwEi8QTgdD+dq+XRPQscBALyDEA0AAPoUbxBO18O5huQOSOg4AIB3sCcaAADEFA3CXZcuR4NwVXVDj59nejiXG/suFwwZmNBxAADvIEQDAIBe9ScIp/PhXC279sjXx0r1guD+Je0AgMxCiAYAAL3qTxAOt5odumU6LlWqqht016p3FemjQD67rMjVh6MBAJKDPdEAAKBX/QnC+bkBo881HZcKJpV3n0/63lnu3MsNAEg+KtEAAKBX/QnCE0blKxTs+/Nbdu21Pa9kMam8RyJScBAHigFApiJEAwCAXpkE4d72Bvv9Pp37pfF9vscj/+uew8XSdQk6ACB1CNEAAKBXfr9Pc8qKYo6JtTc4OCinz/dw0+Fi6bgEHQCQWoRoAAAQU2lxoSrKJ3erSBcEA332eXZTZdeyItpU16S1G7ZoU11Tj9Xv/lTeAQCZgYPFAABAn0qLC1VSNFw19WGFW9uUn7s/SPZ1OrVbKrtV1Q1aVlnbab9zKBjQnLKiTjcBopX3xSvX9/paXjyV27Iitn+2AJCpCNEAAMCI3+/TxNEhW58TrezGOqwr2ZXdquqGHkNxU0ubFq9c362aHq28dw3dBcGAZncJ3V5geoMBALAfIRoAACSN05Vdk5ZVyytrVVI0vNMc4q28pxu7NxgORPUaQKYiRAMAgKRysrJr0rIqerBZ1yp7PJX3dBLvDQaJ6jWAzEaIBgAASedUZddNB5u5Tbw3GPpTvQYALyBEAwCAlHCisuuWg83cKJ4bDP2pXgOAV9DiCgAAeBYtq3oXzw0GO9VrAPAqQjQAAPCs6MFmsXixZZWJeG4wsDweAAjRAADA46IHm3UNjAXBQEbv343nBgPL4wGAPdEAACADZErLKrvsnpzuhr7fAOA0QjQAAEgJp/sKe71lVbzs3GBwuu83ALgBIRoAkJGcDnSZhr7C7mbnBoOTfb8BwA0cD9Hbt2/XzTffrJdfflltbW067rjjdM0112jcuHGSpI0bN2r+/Plav369CgoKdNFFF+nCCy90eNYAgHRGoEst+gp7D8vjAWQyxw8Wq6ioUF1dnZYsWaLHHntMAwcO1EUXXaRdu3apqalJF198sQ4//HCtWLFCFRUVWrBggVasWOH0tAEAaSoa6Lru6YwGuqrqBodm5k2mfYUtK5KiGSFRotXr6ZNGauLoEAEaQMZwtBK9Y8cOHXrooZo7d64mTJggSbrssst01llnqba2VmvWrNGAAQN00003KTs7W+PGjesI3LNmzXJy6gCANGQa6EqKhhMIEsROX2H2KwMA0oGjleihQ4dq4cKFHQG6sbFR9957r0aOHKnx48dr3bp1mjZtmrKzP8v606dP1wcffKBt27Y5NW0AQJqyE+iQGPQVBgB4jeN7oqOuv/56Pfroo8rJydFdd92lwYMHa8uWLR0BO6qwcP+eqY8//lgHHXRQ3O+Xne34Sna4RFaWv9O/Aa/g2u6uZdde43H8PZEYw/IGGo8z/Z5zbcOruLbhVV67tl0Tor/1rW/p3//93/XQQw+poqJCy5Yt0+7du5WTk9NpXCAQkCS1tcV/x9rv9ykUyu3XfOE9eXmDnJ4CkBRc258ZdfBQ43H8PZEYxw8drGFPbtD2Hbt7HXNQ/iAdP+UwZdlcQs+1Da/i2oZXeeXadk2IHj9+vCRp/vz5evvtt/Xggw9q4MCB2rNnT6dx0fA8ePDguN/LsiJqbv40/snCU7Ky/MrLG6Tm5l1qb7ecng6QMFzb3R0SGqiCYECNMZZ0F+QFdEhooJqaWlM4M2+bc+oELXrsnV6fn11WpOYd5n8vc23Dq7i24VXpcm3n5Q0yqpY7GqIbGxu1Zs0anX766R37nv1+v8aPH6+GhgaNHDlSDQ2dT0mNfjxixIh+vfe+fe794cEZ7e0W1wU8iWu7s9llRT22W+p4/ktFsqyI8WnR9JvuW8n4g2L2FS4Zf1Bc1yjXNryKaxte5ZVr29EQvW3bNl155ZVaunSpTj75ZEnS3r17tWHDBs2cOVMHHXSQHn74YbW3tysrK0uStHbtWo0dO1bDhg1zcuoAgDRVWlwYM9DZ6VdMv2lz9BUGAHiFLxKJONqY8Tvf+Y7++c9/6pe//KWGDh2qe+65Ry+//LJWrVqlQCCgL3/5y5o5c6YuueQSvfPOO7rhhht04403qry8PO73bG+31NjIMj3sl53tVyiUq6amVk/cGQOiuLZj628FOdpvujcV5ZMJ0knCtQ2v4tqGV6XLtV1QkOv+5dySdPvtt2vhwoX60Y9+pJaWFk2dOlUPPfSQDjnkEEnS0qVLNX/+fJWXl2v48OGaN29evwI0AADS/kMm4+1LTL9pAAAyl+OVaCdQicaB0uXOGGBXOl7b6bK/eFNdk25d/maf4+bNLok7qKN36XhtAya4tuFV6XJtp00lGgAAKb32F4dbzdosmo4DAADpwxvdrgEAaS26v7ipS+upppY2LV65XlXVDb18pjPycwMJHQcAANIHIRoA4CjT/cWmLadSYcKofIWCsQNyQXD/cnQAAOAthGgAgKNq6sPdKtBdNba0qaY+bPu1LSuiTXVNWrthizbVNSUsiPv9Ps0pK4o5ZnZZkSv3cwMAgP5hTzQAwFHJ2l/c0x7r3IHZOnXqYTrzxLH9DriJ7DcNAADSByEaAOCoZOwv7q2Hc+vufVr1tw/0/LoPddGXJ/Y76JYWF6qkaHhanCgOAAASg+XcAABHJXp/scke69bd+xJ2YFm03/T0SSM1cXSIAA0AgMcRogEAjkr0/mKTPdZRbjuwDAAAuB8hGgDguOj+4q4V6YJgQBXlk20tu7azdzreA8sAAEDmYk80AMAVErW/2G5vZrsHlgEAgMxGiAYAuEZ0f3F/RPdYmy7pthu6AQBAZmM5NwDAU0z2WEfZObAMAABAIkQDADwousc6d2DsBVd2DiwDAACQWM4NAPCo6B7rP63+QM+vq1fr7n0dzxUEA5pdVtTvPtEAACDzEKIBAJ7l9/v09ZPG6swTx/T7wDIAAACJEA0AyACJOLAMAABAIkQDADKAZUWoRAMAgIQgRAMAPK2qukHLKms7tbwKBQOaw55oAAAQB07nBgB4VlV1gxavXN+tZ3RTS5sWr1yvquqGhL+nZUW0qa5Jazds0aa6JllWJOHvAQAAnEMlGgDgSZYV0bLK2phjllfWqqRoeMKWdlP1BgDA+6hEAwA8qaY+3K0C3VVjS5tq6sMJeT8nqt5AOmK1BoB0RyUaAOBJ4dbYAdruuFicqHoD6YjVGgC8gEo0AMCT8nMDCR0XS6qr3kA6YrUGAK8gRAMAXCVRSz0njMpXKBg7IBcE97e76q9UVr2BdGS6WoOl3QDSAcu5AQCukcilnn6/T3PKirR45fpex8wuK0rI8upUVr2BdGRntcbE0aEUzQoA4kMlGgDgCslY6llaXKiK8sndKtIFwYAqyicnbA9mKqveQDpitQYAL6ESDQBwXDIP5iotLlRJ0XDV1IcVbm1Tfu7+MJvIA75SWfUG0hGrNQB4CZVoAMhwbmg3k+yDufx+nyaODmn6pJGaODqUlDCbqqo3kI5YrQHAS6hEA0AGc0u7Ga8s9UxF1RtIR6zWAOAlVKIBIEO5qd2Ml5Z6pqLqDaQjVmsA8Aoq0QCQgZK5Bzke0aWesZZ0s9QTSH+s1gDgBVSiASADJXsPsl3RpZ6xsNQT8AZWawBId4RoAMhAbtyDzFJP9MQNB98BAHAglnMDQAZy6x5kJ5d6WlbE+H3tjHVynumut4Pvzj+9WKedMNbBmQEAMhkhGgAykJv3IEeXeqaSnVPKnTzR3C2nqadC9OC7rppa2rTosXc0JDegI0cNdWBmAIBMx3JuAMhA7EH+jJ1Typ080dxNp6knm8nBd7/743qWdgMAHEGIBoAMxR5k81PKLStia2yiOfneTjA5+G5beJeq/9mUohkBAPAZlnMDQAbL9HYzdk8pNx07cXQooXuX7cwz1Uvhk8H44Lude5I8EwAAuiNEA0CGc2IPslsk45TycGtbwvcuu/E09WQyPvhuSE6SZwIAQHcs5wYApK3+tj+yc0q56dgt2z9N+N5lt56mnizRg+9iOSh/kIoPz8ybPwAAZ1GJBgCkpURUe01PKR9/6FDVfBhW7sBste7eF/M1n1z9Qcznl1fWqqRouK2l3W4+TT0Zogff9XQ6d9R3zposv9/nmX3gAID0QSUaAOBqPVWbE3VStckp5dOOLNQ196zRgoff6jNAS1Kkj0x34B5rU5l4mnqsg+8uP+donXj0IQ7NDACQ6ahEA0iJRB6yhMzRU7U5f0iO9u6zYn6enWpvNKx1fZ+CYEDTjizUs6/Vx/8F9CKevcux5jnbg32ipd4PvsvJyXJ6agCADEaIBpB0iT5kCZkhWm3uyuREZrsnVfcU1sYfOlTX3LPG9rxNxLt3ORNPU8/kg+8AAO5EiAaQVL0Foeiy20zpRwxzlhXRpn826d5nNvXrdbpWe/taDdE1rG2qa+qzrVQ8+rt3mVAJAICzCNEAksayIlpWWRtzTDyHLMG7elq1EK8Dq73xrIZIVrsor+1dBgAg03CwGICkqakP9xmG4jlkCd7U22Fh8QgOGtBR7Y33ELL+tovydcnJBcEAKy8AAPAAKtEAksa0kpesip/XePlwNpNVC3ZMP2pER/ujeFdDmLSViuV7Zx2l4KAcT/68AADIZIRoAEljWsnrb8UvE7j5cLZEhHuTVQt2BHKyOtphma6GOHCfcfRrmlo8XM+v+7DXzz1j2ii9urEhY07LBgDALsuKaOMHjdq7uUkDfBGNO2Ro2t9UJkQDSBqTSl5/D1nKBG4+nC1R4T7RqxH+tLpOf1pdp9yBZn/NvVm7tSNE9/Q1+Xyd+z8fGJTPmTHesysEAADoDzcXAfqDPdEAksbv92lOWVHMMRyyFJvpcmTLisQckwyvb/okrr3GPbGzGmGIYTCWpNbd+4zGPb/uQ1VVN/S6fzoaoL809VCdO3O8Zp0yTrkDB8iyIh2nZU+fNFITR4e4ngEAUPxnkqQDKtEAkqq0uFAV5ZO73YVkyasZO4ezpbLt0eubGnT3H9+NOcbOyesmqxZyB2br0rMma+LokN6s3ZqwU7yjlj1f0/00sC5eqPpXp4q0F+6mAwCQaF7v0EKIBpB0pcWFKikazpLXOLjxcLaq6gbdtar78vKu7IT76KqFnpatR1305YmaNLZAUudrasMHjfrTmjrzL6AXTTv39Dkm0qXg74Yl9QAAuI1biwCJwnJuACnBktf4uO1wNrunaNsJ99FVC6Fg56+lt9ZQ0WvqkOG5xu+RLE4tqQcAwI3cWARIJCrRAOBibjucze4p2nbDfTyrFtxwuns6300HACDR3FYESDQq0QDgYm47nM3OHeN4w73dVQvRGw2xhIbkJGRMLOl6Nx0AgEQz+bs5nTu0EKIBwOXsLnNOJjt3jFMV7k1uNMw5dUJCxsSSrnfTAQBINLcVARKN5dwAkAbccjibyfJyn0/63llHpTTcm54CH++Yrn2iu0rnu+kAACSDlzu0+CKRWP9b4E3t7ZYaG1udngZcIjvbr1AoV01Nrdq3z3J6OkDCJOvajvZ97M2lZ0/WcRPt/cVoWZGE3CAweZ14xrTs2qO7VvXe0ovTuVOL39vwKq5teJFlRfTeRzu0N+LTAF9E4w4Z6toKdEFBrrKy+l6sTSUaAFwqUcEy0e+Z6DvLVdUN3V4r3v7L0f3U/R3TVemEQlWU+zx5Nx0AgGTy+306ckyBp24QEaIBwIUSGSyT8Z6JWl7eW1Xbyf7Lsb4Pt116ouNL6gEAgLM4WAwAXCYaLLvuO44Gy6rqBle8Z397f5v0nE51/+W+vg9v1m6l3zkAABmOEA0ALmISLO99ZpM2bG5MWLh0Ksya9JyO9l9OBTeGegAA4D6EaABwEZNg2bp7nxY88pauvmt1QqrSToVZ077Kqeq/7LZQDwAA3IkQDQAuYicwJmp5t1Nh1rSvcqr6L7st1AMAAHciRAOAi8QTGPu7xNipMBvtOR1LKvsvuy3UAwAAdyJEA8hYlhXRpromrd2wRZvqmlyx19UkWHbV3yXGToVZv9+nOWVFMcfMLitK2eFdbgv1AADAnQjRADJSVXWDrr5rtW5d/qaWPLFBty5/M2F7jPvDJFj2pD9LjJ0Ms9Ge013Da0EwkPL2Vm4L9QAAwJ18kUjE+dJLirW3W2psbHV6GnCJ7Gy/p5q/o2+99SaOcqI3cVc99SqOZd7sEk0cHer42LIieu+jHdob8WmAL6JxhwyVtP/wrMadu7Wzda+Cg3MUCn7W67in9ywIBjQ7ib2pD5yvW/ovO/l9gBl+b8OruLbhVelybRcU5Corq+86c3YK5gIArmHaxqikaLijFcfS4kKVFA3Xpn826a5V69W6e1+vY4ODB2j8oUM7Pu4pBOYO3P/rvqfXCQUDmvN/AbGkaLgjYTbac9oNnPw+AAAA96MSjYyXLnfGkBib6pp06/I3+xzXtbLrpL4q59JnQVhSn2N7Y1KBd1PFGJmL39vwKq5teFW6XNtUogGgB15tYxRtdxWtOMejrwp8TxXuA6vYAAAAmYCDxQBklHRrY2Sy/PxAsZZ99yXWKd/RanjXPdqJ6lUNAACQLgjRADJKurUxqqkPGx8ulgg9VeBN95G7oUWYE9zYKg0AACQPy7kBZJRoG6NY+4bd1MYo1cvKe6rAmwT5aBXbLfvIU4Ul7gAAZB4q0QAyjpt6E/cllcvKe6vAe3UfeX+xxB0AgMxEJRpARkqXNkbR5eemS7qHDBqgnbv2xvVevVXg020feSqkS6s0AACQeFSiAWSsaG/i6ZNGauLokCvDTnT5ualvnVHcY5V9yMDsXk/uDg3J0dknjdHedqvHPb1295Fnwh5hO0vcAQCAt1CJBgCXiy4/77r39kAFwYBmH7APt6RouN77aIf2Rnwa4Ito3CFDJe0Pf407d2tn614FB+doa3iXXnz7I6362wcdr9V1T6+dfeSZskeYJe4AAGQuQjQApIGuy8/zBudIEal5154el6L7/T4dOaZAoVCumppatW+fJUmdDv6qqm7Qqr9t7vZe0T29B+4P7y3IHxjeo3uETV4vESwr4thyfJa4AwCQuQjRAJAmosvPEyGePb2x9pEnao+waTB2uuJtslfdTa3SAABA4hCiASADxdu2qrcgn4g2WKbBONUV756kW6s0AACQOBwsBgAZKNF7evs7zrRdlGnFOxWHmaVTqzQAAJA4VKIBIAOZ7tVtaPw0oa/X0zg7S8ETUfFOpHRplQYAABKHEA0AGci0//Sqv32gQ4cP6aiq9rZnuT97hO0EYzeeip3IveoAAMD9CNEAkIFM9vRG3f9ctaaMO0hvv7ct5p7lePcI2wnGnIoNAACcxp5oAMhQpcWFOvuksX2Oa/l0r674r5f63LMc7x5hO8E4WvGOhVOxAQBAMlGJBoAMVlgwyGjc7r1WzOeje5bj2SNsZyk4p2IDAACnUYkGAA9rtyLa+EGj1m7Yok11Td1OrU7UsufonmXpsz3C0yeN1MTRoT4DbTQYx3JgMOZUbAAA4KS4K9EvvviiVq9erYaGBl155ZXauHGjjjrqKB166KGJnB8AZITeDuzqj9c3NWjZ8zXavmN3x2Nd+y6bHjBmoj+HeUWDcdc91wXBgGZ36RMdHc+p2AAAwAm2Q/SuXbtUUVGh1atXa8iQIWptbdUll1yi5cuXa8OGDXrwwQdVVBS7ogAA+ExVdUPMA7vifc2eljxH9zBHK7Z2DhjrS3+r2naDMadiAwAAJ9hezn377bfr3Xff1b333qu1a9cqEtm/NPCWW27RiBEj9F//9V8JnyQAeFU07MY6sMsu077L0aXd0SpwcNAA2+8VlajDvOwuBQcAAEg12yH6mWee0ZVXXqnp06fL5/vsf24KCwt16aWXqqqqKqETBICeWFZEm+qaet3rmw7shl1TdvouR5UWF2phxec1JM4gnc6HeXnhWgIAAKljezl3c3Nzr/uehw4dqk8//bTfkwKAWJKx/NkJdsKunWXLdvouHyg726+TPjdSz75W3+vnBAb41XbASd297VmWkrPPO9G8ci0BAIDUsR2ii4qK9OSTT+qkk07q9twLL7zAfmgASWW61zcdxBt2+2Kn7/KBLCuiVzfGXj6eneXXWSeNVd6QHBUMGdhrME5mOE1UOPfStQQAAFLHdoi+9NJL9f3vf1/hcFhf/OIX5fP59Prrr+vxxx/Xww8/rIULFyZjngBgvPy5pGi46yqePYk37PbFTt/lA5lUxlt379Ojf3mvIxD3FqCTFU4TFc69di0BAIDUsb0nuqysTLfddpuqq6t1ww03KBKJ6Oabb9azzz6rG264QWeccUYy5gkAce31dbNo2I0lngO77PZdjrJT8e7t4LNk7fOWEnsIm9euJQAAkDpx9Yn+2te+pq997Wt6//33FQ6HlZeXpyOOOEJ+v+1MDgDGkrX82QnRJclTi4fr+XUf9jou3gO7SosLdfk5R3frEx1rD3M8Laq6VmuTtc870ZVjL11LAAAgteIK0VFHHHFEouYBAB162/Pa3+XPbjnoqqclyT6fFDmgOBsr7Jo6bmKhvnT8GL369ofa3ry7z6/ZZBl4V10DcbLCaaLDebKW0gMAAO+zHaJnzpzZqbVVT/73f/837gkByGyx9ryWFA2Pa69vX6+bysOjetsvHA3Qp049TCVFwxMW8LP8Ph05pkD79ll9jo0uA+9pfrEcGIiTFU4THc7j3TcOAABge/31tGnTuv1z1FFHybIs7dq1S//2b/+WjHkCiEO69b/ta8/rm7Vb49rrm8i9tP1hsiS5qnprQgK0ZUW08YNGvfjGh9r4QaPxz760uFAV5ZP73Kt9oAMDcbL2eSc6nMe7bxwAAMB2Jfrmm2/u8fG9e/fqsssu065du/o9KQD955bKqynTPa+3XnqiKsond/vaelv+7KZTmJO1X/hAlhXRn1Z/oOfX1at1976Ox+387EuLC1VSNFyb6pp01x/Xd3qdrroGYpNqdjzhNBmV4+gNA9NrCQAAQOrnnugDDRgwQBdeeKGuu+46/fCHP0zUywKIQzr2v7UTMKMhz2R/cyqCqynTpcZv1m6NOZfoCoNN9U1SRJo4OqSJh4f0Zu1W3fvMph5Dr92fvd/v06SxBbroyxNtB+JkhNNkhXM71xIAAICUwBAtSTt27FBra2siXxKATW6qvNphd8+r3+8zCr2mr7uhrjHpIcp0qfHz6z7UhFH5PYbNquqGbkH5T2vqFMjJUtue9j5f2+7PPt5AnIxwmqzKsem1BAAAIMURoletWtXtsfb2dm3ZskUPPvigpk6dmoh5AYiTmyqvdiTrQCrT8X9aXdfx38la9m7n9Ouewm5vKwwkGQVoKb6ffbyBOBnhlMoxAABwmu0Qfe211/b6XElJia6//npbrxcOh3X77bfrr3/9q3bu3Kni4mL9+Mc/7gjja9as0W233ab33ntPBx98sC6//HJ99atftTttIGOka//bZJ2WHE/bpmQte7dz+nXXsGtZET30fE1C5hHPz95N1Vo3zQUAAGQe2yG6p/ZVPp9PQ4YMUV5enu0JXHnlldq6datuv/12DRs2TA888IC+/e1va+XKlYpEIpo7d64uvvhi3XbbbfrrX/+qefPmqaCgQCeccILt9wIyQbr2v03Wntd42zZJyVn2XlpcqFOnHqbn133Y59gDw25NfVjhnXsSMge3/ewBAADSie0Qfeihhybszevq6vTKK69o2bJlKi0tlSRdf/31evnll/Xkk09q+/btKi4u1o9+9CNJ0rhx47RhwwYtXbqUEA30Ip373yZrz2tvr9uXZC17LykabhSiDwy7iVo54NafPQAAQLowCtEXXnih8Qv6fD7dd999RmNDoZCWLFmiz33uc50+3+fzqbm5WevWrVNZWVmnz5k+fbrmz5+vSCQin489cEBXyaropkqy9rx2fd2PtrbqT2vq+vy8ZCx7j+dGR6Kqx27+2QMAAKQDoxAdiUSMX9DO2Ly8PJ1yyimdHnvuuedUV1enn/zkJ1q5cqVGjhzZ6fnCwkLt2rVLTU1NKigoMH6vrrKz/XF/LrwlK8vf6d9ecPxRI+XP8uuh56rVeGBFNy+g804r1nET3dXeqieTxw1L6utu/KDRKEQPyxuYlN8X559erEWPvdPr8+edXqycnKyOjyeNLVBoSI6a4lzSPWTQAF381SPT4mcP9MWLv7cBiWsb3uW1a9soRD/wwAPJnock6Y033tB1112n0047TTNmzNDu3buVk5PTaUz04z174t8b6Pf7FArl9muu8J68vEFOTyGhTjthrL50/BhteH+7Gpt3qyBvoCYdMUxZVCElSccPHaxhT27Q9h27ex1zUP4gHT/lsKR8z047YayG5Aa0ZNXfO83hoPxB+s5Zk3Xi0Yd0+5zvzZqiX9/3elzvV/HNKTppSuK24wBu4LXf20AU1za8yivXdtx9ordv3649e/Z0VJ4ty9KuXbu0bt06zZ492/brVVZW6qqrrtKxxx6rBQsWSJICgUC3sBz9eNCg+H8AlhVRc/OncX8+vCUry6+8vEFqbt6l9nbL6ekk3GHDBumwYfv/vDTv4Lo/0JxTJ8SsBs8uK0rq9+zIUUO1sOLzqv5nk8I79yh/SI6KDw/J7/epqam1x/GXn3O0/vtPG7TzgD7RkuSTFGsd0O9W/V1HHjaUpdzwBK//3kbm4tqGV6XLtZ2XN8ioWm47RG/atElXXXWV3nvvvR6f9/l8tkP0gw8+qPnz5+uMM87QLbfc0lFtPvjgg9XQ0NBpbENDgwYPHqxgMGh36p3s2+feHx6c0d5ucV1kmJLxB8U8yKxk/EEpuSaKDsvv+G/Lisiyeo/DJeMP0pQrTtamuiZtqm+SItLggdl69C89/06Oamxu04bNjbSGgqfwextexbUNr/LKtW07RN96663asWOHrrnmGv3lL39RTk6OvvjFL+qll17SSy+9pPvvv9/W6y1btky/+MUvdMEFF+inP/1pp8PCpk6dqtdee63T+LVr1+rYY4+V3++N9fQAnJWsg8yk/YE4Ga/r9/s0aWyBJo3dfy7E2g1bjD7Pbb3BAQAA0pHtEP3222/ruuuu0znnnKNBgwbpySef1Jw5czRnzhxdccUVeuCBBzR16lSj19q8ebN+9atf6dRTT9XcuXO1bdu2jucGDhyoCy64QOXl5VqwYIHKy8v14osv6tlnn9XSpUvtThtAhognuPr9voRXaKuqG7pVuIODBmj6USNUUjQ8YYFaSt/e4AAAAOnIdojes2ePxowZI0kaM2aMNm3a1PHcN77xDf385z83fq3nnntOe/fu1fPPP6/nn3++03Pl5eW6+eabdeedd+q2227Tfffdp8MOO0y33XYbPaIB9Kin4BoKBjSnHz2m451HTy3GWnbt1fPrPtTz6z5M6LzSuTc4AABAurEdog855BDV19dr6tSpGjNmjHbu3KkPP/xQhx12mHJycrRjxw7j1/re976n733vezHHfOELX9AXvvAFu9MEkGF6C65NLW1avHK9KsonpyRIW1ZEyypr+xyXyHmle29wOCNZ2w0AAPA62yH6tNNO08KFCzV48GCdfvrpOuKII3THHXfoO9/5jv7whz9o1KhRyZgnAPTKJLgur6xVSdHwpIeEmvpwzIpwV4maV2lxYY+HpB2UP6jjkDQgyi2rNgAASEe2Q/T3v/991dXV6bHHHtPpp5+u6667Tt///vf11FNPKSsrS7fffnsy5gkAnRxYRWveuafP4NrY0qaa+nDST6e2e3hXIufV9ZC0YXkDdfyUw9S841NPnISJxHDLqg0AANKV7RAdCAT0m9/8Rnv37pUknXzyyfrTn/6k9evX66ijjtLhhx+e8EkCwIF6qqKZSMXp1PEc3pXIeR14SFp2tl9ZLM/FAdy0agMAgHRlu0/Ur371K23YsEEDBgzoeGzUqFH68pe/TIAGkHTRKprdAC2l5nTqCaPylT8kx9bncGo2UsVku0F0dQQAAOiZ7RD9xBNPaNasWfrqV7+qJUuW6OOPP07GvACgG9NDu3qSqtOp/X6fZhxziPF4Ts1GKpmueqCnOAAAvbMdol955RXdfffdOuqoo3TPPffoS1/6ki688EI9/vjj2rlzZzLmCACS7B/adaBUnk5dWDDYeGx0XpYV0aa6Jq3dsEWb6ppkWZEkzrB3bpkHkoOe4gAA9J/tPdFZWVk65ZRTdMopp2jPnj164YUX9PTTT+umm27STTfdpJkzZ3K4GICkiKc6VhAMaHaKTxzOG2S2nPvsk8aotLjQNSclu2UeSB56igMA0H+2Q/SBcnJydPrpp2vo0KHKy8vTypUr9ec//zlRcwOATkyrY+fOHK+8ITmO9L6NBtG+hIIBnXniWNeclOyWeSC56CkOAED/xR2iq6qq9PTTT+vZZ59VY2OjjjrqKF1zzTU688wzEzk/AL04sMWTE2HRCaZVtLKpoxz5XvQWRHsyp6xIklxxUjInNmeW3nqKO7FqAwCAdGQ7RN9666169tln9fHHH+vggw/WOeeco69//esaN25cMuYHuJpTQTZTl926uYpmeuhZaEiO5pw6QaXFhdpU1+SK/tZ2TmxOdp9tpEbXnuKZciMOAIBEsB2iH330UZ1++uk666yzNG3atGTMCUgLTgVZJ5fduqH67dYqmumhZ98+c5ImjSmQ5J6Tkt0yD6TWgT3FAQCAOdshevXq1crJsdcDFfAap4Ksk8tu3VT9dmMVzTRgNn+6p+O/3XJSslvmAQAAkA5st7giQCPTmQbZZLQGsrPsNpGiNw26vnf0pkFVdUNC389EtIo2fdJITRwdcnwZajxBNLrHO5ZUnJTslnkAAACkA9shGsh0TgVZyZlltyY3DZY9X6MNHzRmdG/heIJodI93LKnY4+2WeQAAAKQDQjRgk5P7R51Ydmty06Bp5x4tePgtLXlig25d/qauvmu1I9VpJ8UbRKN7vLsG8IJgIKVtpdwyDwAAALfrV59oIBM5uX/UtMVTIpfdxnMzIFN7C8d76Jlb9ni7ZR4AAABuZjtEX3fddbrssss0atSobs+9//77uvXWW3X33XcnZHKAGzkRZKOcaPHUn5sB6dxbON6TyOMNom45Kdkt8wAAAHAroxD90Ucfdfz3qlWrVFZWpqysrG7jXnrpJa1evTpxswNcyOlexalu8TRhVL5yB2ardfc+25+brr2F+3sSebKCqBtajAEAAGQ6oxB944036qWXXur4+Pvf/36P4yKRiD7/+c8nZmaAizndqziVy27frN0aV4COSofewgeG04bGT7Xqbx90G3PgEnUnljy7qcUYAABAJvNFIpE+j9H95JNPtHr1akUiEf3kJz/RpZdeqsMPP7zTGL/fr7y8PB1//PEaPHhw0iacCO3tlhobW52eBlwiO9uvUChXTU2t2rfPsvW5Xq8MWlZEV9+1us+DxWKZN7vE1ZXonsJpLEMGDVB2lk/hnZ/1e052mO2tL3lUb3vP+3NtA27GtQ2v4tqGV6XLtV1QkKusrL7P3jaqRI8YMULl5eWSJJ/PpxkzZigvL69jSffu3bu1d+9eBYPBfkwZSD9e3z9qcjJ3LG7vLdxXOO3Jzl17uz2WzIPUTPuSp+vecwAAgHRju8XVmWeeqTvuuEP/9m//1vHYG2+8oRNOOEG33HKLLMu9dxYA2NPfpdg97Q23rIg21TU53lPaJJzatbyyNuFfj5N9yQEAANCd7dO5Fy1apCeeeEJXXHFFx2OTJk3SVVddpUWLFikUCum73/1uQicJwBmmJ3MHBw1QywEV2t72hrtpX29/q+w9ScZBak72JQcAAEB3tkP0k08+qWuuuUbnnntux2P5+fm66KKLlJ2drfvvv58QDXiEaTuvm+eeoH/8a0fMveG9LZ12qqd0skJnol/Xyb7kAAAA6M72cu6mpqYee0RL0hFHHKEtW7b0e1IA3CHaziuW2WVFys72a+LokKZPGqmJo0M9LuE22debyqXdyQqdiX7d6I2MWNy+9xwAAMBLbIfoI444Qs8991yPz73wwgsaPXp0vycFwD2i7by6BrmCYMC4euzGfb0m4dSuZIRZ0xsZ/TlUzC371AEAANKB7eXcF154oa699lqFw2GVlZVp2LBhamxs1F/+8hc988wz+vWvf52MeQJwUH/7UrtxX280nNo9nTuW/obZ3pQUDdfZJ43R8+s+7NSzOxF9yd20Tx0AACAd2A7RZ599tlpbW3XnnXfqz3/+c8fjoVBI119/vc4+++xEzg+ASxzYzstuf2y37uuNVtl7CpF79rZ3CqyxJCLMHujA729D4y69+PZHneaXOzBbp04dpTNPHNOv0O62feoAAADpwHaIlqTzzjtPc+bM0ebNmxUOh5WXl6cjjjhCfr/t1eEA0kw8lUvTA8qc2NfbU5XdsiJa8MhbfX7umSeO1qTRBbaq8n3p6fvbVevufVr1t806dHhur99zy4po4weN2ru5SQN8EY07ZGinOdJ/GgAAID5xhWhJ8vl8OuKIIxI5FwAuF2/l0mTpdLKWQps4sMouSWs3mB2QeMhBuQltZ9Xb97c3vYVckxsddvapJ/JrBAAASHdGIfrII4/UI488oqOPPloTJ06Uz9f7/+j6fD5t2LAhYRME4A79rVz2tnQ60UuhE8GJ5ecm39+uegq5pjc63LhPHQAAIB0YheiKigqNGDGi479jhWgA3pSIymV/DyhLFSeWn5t8f3tyYMg1CeL3P1etKeMOcu0+dQAAALczCtHf//73O/778ssvT9pkALhXoiqXXZdOu5ETy8/jrfgeGHJNgnjLp3t15eJXdMHpE1y7Tx0AAMDNjEL0Rx99ZOtFDznkkLgmA8C9Mq1ymerl5/F837qGXNMgvnPXXt216l2dMW2Unn2tvtdxTu5TBwAAcCujED1z5kxbS7g3btwY94QAuJObT9hOllQuPzf5/nbVNeTaDeKvbWzQpWdP1sP/6/596gAAAG5hFKJ/9atfdYToHTt2aMGCBTrhhBP05S9/WcOHD1c4HNYLL7ygv/71r7r22muTOmEAydVbD2i3n7CdLKlafm7y/Y3qLeTaDeKNLW0KDhqg2y490fX71AEAANzCF4lEInY+oaKiQqFQSL/85S+7PTd//nzV1tbq3nvvTdT8kqK93VJjY6vT04BLZGf7FQrlqqmpVfv2WU5Px1EmrZF6GpMJlcvebi4kWo8/gyE5OuWYQ1RYMLjP97bbJuu7X5+k6ZNG9nveQCrxextexbUNr0qXa7ugIFdZWf4+x9nuE/3KK69o8eLFPT43Y8YMPfroo3ZfEoALmLZGSpcTthPJ5OZCovT3+xvdy33/s9Vq2bW3z/Fe2cMOAACQKn3H7C5CoZDeeeedHp9bu3ZtRyssAOnDtAe0Ze1fuBJd4jx90khNHB3yRIC2rIg21TVp7YYt2lTX1PG1Rm8udF0iHb25UFXdkPC59Pf7W1pcqIUVn1dw0ICY47y2hx0AACAVbFeiv/nNb2rx4sXavXu3ZsyYoVAopG3btunZZ5/V8uXL9ZOf/CQZ8wSQRInoAW1XqpZHm+it0nzul8br4f/9R8zPXV5Zq5Ki4a67kZCd7ddFXz1Six7r+aan5M097AAAAMlmO0Rfeumlamlp0e9//3stWbJEkhSJRDRw4ED94Ac/0HnnnZfwSQJIrkT1gDaVyuXRJnPpbRn7Xave7fPzE31zIZGOm1io6751nO55/B01ZtgedgAAgGSxHaJ9Pp+uueYaXXbZZXrrrbe0Y8cOhUIhlZSUaPDgwcmYI4AkyxucYzQuEftnTfZep2rPtckydhOJurmQDCcefYiKD83Ths2Nrqj6AwAApDvbIToqNzdXw4cPVyQS0ZQpU7Rnzx5CNJCGqqob9NDzNX2OS8T+WZPQet8zm1JWpTZZxm7C7YdzpapNFwAAQCaIK0T/8Y9/1MKFC7V161b5fD79z//8jxYtWqQBAwZo4cKFyskxq2oBmcwNe4LttENKxP5Zk9C6c/c+afe+To91PSE8URJRQeZwLgAAgMxi+3Tup59+Wtdcc42mT5+u22+/XZa1v8/XqaeeqhdffFF33nlnwicJeE1VdYOuvmu1bl3+ppY8sUG3Ln9TV9+1OiknPffGdClzKBhIWHjtb2g98ITwREhEBZnDuQAAADKL7RB9991369xzz9Wtt96q0047rePxWbNm6fLLL9dTTz2V0AkCXuNEy6SemC5l/vZXjkxY9be/oTV6iFeiTBiVr1Aw9pwKggFdevbkbuMKEnhzAQAAAOnD9nLuzZs365prrunxuSlTpmjRokX9nhTgVab9mFPRMsm0Kty8a0/C3jMaWvuzDzmRh3j5/T4df2Shnn2tvtcx044s1HETC1U6ITWHnQEAAMDdbFeihw0bpvfee6/H59577z0NGzas35MCvMpOP+ZkM60KJ/LQLL/fpzllRf16jUTOx7IienVj7Mr/axsbZFmRjsO5pk8aqYmjQwRoAACADGU7RH/lK1/Rb37zGz377LPas2d/hcrn82n9+vW68847dcYZZyR8koBXpLofcyymS5kTfWhWaXGhKsq7L48ODclR7sDYi2MSPR833dQAAABAerC9nPuHP/yhampq9MMf/lB+//4MfsEFF+jTTz/V1KlT9YMf/CDhkwS8wonqb2+iVeFYp3Mn69Cs0uLCHntBv1m7NaXzcdNNDQAAAKQH2yE6JydHS5cu1SuvvKK1a9cqHA4rGAxq2rRpOuWUU+TzscQR6I3JnuBUtkyKVoW79mUuCAY0Owl9mQ/UU+/iVM/HTTc1AAAAkB5sh+hvf/vbuuSSS/T5z39en//855MxJ8CznKz+9qa3qnCi5mC3H3ay53Mgt93UAAAAgPvZDtFvvPEG1WagH5ys/vamp6pwIlRVN3T7OkPBgOb08XUmaz49vY/bbmoAAADA3WyH6JNPPllPPPGESktLNWDAgGTMCfC8VFZbnRLth91VtB+2W3osu/GmBgAAANzLdogOBAJ64okn9Mwzz2jcuHEaPHhwp+d9Pp/uu+++hE0Q8KpUVVud4KZ+2CYy4aYGAAAAEsN2iN6yZYtKSko6Po5EIp2e7/oxgMxjp3WUW24kePmmBgAAABLHdoh+4IEHkjEPAB5C6ygAAAB4la0Q/c477+hf//qXRo8erUmTJiVrTgBcxO7p2hKtowAAAOBdRiG6ublZc+fO1VtvvaVIJCKfz6eSkhItXLhQBx98cLLnCMAh8Z6unajWUfEEeABm+PMFAEB8jEL0HXfcoQ0bNujyyy/X5MmT9f777+vuu+/Wf/zHf+h3v/tdsucIwAH9OV07Ea2j4g3wmYYghHjw5wsAgPgZhei//OUvuvLKK/Wtb31LkvSFL3xBI0aM0FVXXaVPP/202wndANwh3oCViNO1+9M6Kl3aYzmNIIR48OcLAID+MQrRW7du1VFHHdXpseOPP17t7e36+OOPNW7cuKRMDuivTK7S9SdgJep07XhaR6VbeyynmASh448a6cDM4Gb8+QIAoP+MQvS+ffuUk5PT6bGhQ4dKktraOF0X7pTJVbr+VpoSebq23dZR6dgeK9VMg9BxR45I0YyQLvjzBQBA//n7+wL0hYYbRUNk1/9ZjIbIquoGh2aWfKYBy7J6/7Pr5OnatMfqm2kQqv5nU4pmhHTBny8AAPqv3yHa52O5F9wlESEyndmpNPUmerp2LCana8eD9lh9Mw5CO/ckeSZIN/z5AgCg/4z7RN9www0aMmRIx8fRCvT111+v3Nzcjsd9Pp/uu+++BE4RsCfTlysmotJk93TtRO49T1R7LC8zDkJDcvoehIzCny8AAPrPKEQfd9xxkrov3e7pcZZ3w2mZvlwxUZUm09O1E733PBHtsbzONAgVH+69m0ToH/58AQDQf0Yh+oEHHkj2PICEyfTliomsNPV1unayWuX0pz1WJiAIoT/48wUAQP8YL+cG0kWmL1dMdMDq7XTtZLfKiac9ViYhCKE/+PMFAED8CNHwHKp0qQlYqdh7brc9VqYhCKE/+PMFAEB8CNHwJKp0/Q9YfR0W5rW954k8HC2VCEIAAACpRYiGZ1Gliz9gmRwW5qW954k+HK0n6RrSAQAA0BkhGp5Glc4+08PCvLL3PFmHo3V9j2SHdAAAAKSG3+kJAHAP08PCLCvSsfc8FrfvPbfz9cYrGtK73myIhvSq6oa4XxsAAACpR4gG0MHOYWHSZ3vPQ8HOS7YLgoGEVHCTze7Xa1cqQjoAAABSi+XcADrEc1hYOu89T/bhaKk4wRwAAACpRYgG0CHew8LSde95sg9H89oJ5gAAAGA5N4ADRA8LiyUdDgszleyv10snmAMAAGA/QjSADl44LMyOZH+9mXZTAgAAIBMQogF0ku6HhdmVzK83025KAAAAZAL2RAMZyLIiMQ8CS+fDwuKRzK83GtK79okuCAY0mz7RAAAAaYcQDWSYquqGboEuFAxoTpdAl66HhcUrmV9vpt2UAAAA8DJCNJDm+qoqH6iqukGLV67v9nhTS5sWr1zvyeXabpFpNyUAAAC8ihANpDHTqrK0P2wvq6yN+XrLK2tVUjScCikAAADQCw4WA9JUtKp8YICWPqsqV1U3dHq8pj7cbWxXjS1tqqkPJ3qqAAAAgGcQooE0ZFpVtqxIx8fh1tgB2u44AAAAIBMRooE0FE9VOT83dr9iu+MAAACATESIBtJQPFXlCaPyu/VC7qoguP9gMgAAAAA9I0QDaSieqrLf79OcsqKY42eXFXGoGAAAABADIRpIQ/FWlUuLC1VRPrnb5xYEA7S3AgAAAAzQ4gpIQ9Gqck89n6N6qyqXFheqpGi4cW9pAAAAAJ8hRANpKlpV7tonuiAY0Owe+kQfyO/3aeLoUCqmCQAAAHgKIRpIY1SVAQAAgNQiRANpjqoyAAAAkDqEaCAOlhVxTfXXTXMBAAAAvI4QDdhUVd3QbR9yKBjQnD72IXt9LgAAAEAmoMUVYENVdYMWr1zfKbRKUlNLmxavXK+q6oZ+vb5lRbSprklrN2zRpromWVbEsbkAAAAA6I5KNGDIsiJaVlkbc8zyylqVFA2Pazm1napysucCAAAAoGdUogFDNfXhblXfrhpb2lRTH7b92narysmcCwAAAIDeEaIBQ+HW2KHV7rgo06rygUu7kzUXAAAAALERogFD+bmBhI6LiqeqnKy5AAAAAIiNEA0YmjAqX6Fg7FBaENzfYsqOeKrKyZoLAAAAgNgI0YAhv9+nOWVFMcfMLiuyfZBXPFXlZM0FAAAAQGyEaMCG0uJCVZRP7lYFLggGVFE+Oa7ezPFWlZMxFwAAAACx0eIKsKm0uFAlRcNVUx9WuLVN+bn7A268Vd9oVXnxyvW9jumtqpzouQAAAACIzVWV6HvuuUcXXHBBp8c2btyo888/X8ccc4xmzpyp+++/36HZAZ/x+32aODqk6ZNGauLoUL9Da3+qyomeCwAAAIDeuaYS/dBDD+mOO+7Q1KlTOx5ramrSxRdfrJkzZ+rGG2/UW2+9pRtvvFG5ubmaNWuWg7MFEo+qMgAAAOB+jofoTz75RD//+c/16quvasyYMZ2ee/TRRzVgwADddNNNys7O1rhx41RXV6clS5YQouFJ0aoy3M2yItzsAAAAyFCOh+h3331XAwYM0BNPPKHFixfrX//6V8dz69at07Rp05Sd/dk0p0+frnvuuUfbtm3TQQcd5MSUAWSwquoGLaus7dTbOxQMaE5ZEYe5AQAAZADHQ/TMmTM1c+bMHp/bsmWLJkyY0OmxwsL9/5P68ccf9ytEZ2e7ajs4HJSV5e/0b6A3r29q6PEAuKaWNi1euV6Xn3O0jpvoniDNtQ2v4tqGV3Ftw6u8dm07HqJj2b17t3Jycjo9FgjsP3ipra2tp08x4vf7FArl9mtu8J68vEFOTwEu1m5FtOz5mphjllfW6kvHj1GWy5Z2c23Dq7i24VVc2/Aqr1zbrg7RAwcO1J49ezo9Fg3PgwcPjvt1LSui5uZP+zW3TGJZEVX/s0nhnXuUPyRHxYd76wTorCy/8vIGqbl5l9rbLaenA5fa+EGjtu/YHXPMtvAuvfr2hzpyTEGKZhUb1za8imsbXsW1Da9Kl2s7L2+QUbXc1SF65MiRamho6PRY9OMRI0b067X37XPvD89NvLL/0+QgqPZ2i+sCvdreHDtAHzjObdcR1za8imsbXsW1Da/yyrXt6hB93HHH6eGHH1Z7e7uysrIkSWvXrtXYsWM1bNgwh2fnfVXVsfd/9tW/2C28ciMAzsrPDfQ9yMY4AAAApCdX7+yeNWuWdu7cqZ/+9Kf6xz/+occff1z33nuv5s6d6/TUPM+yIlpWWRtzzPLKWllWJEUzik/0RsCBAVr67EZAVXVDL58JdDZhVL5CwdgBuSC4f5UDAAAAvMvVIXrYsGFaunSpNm/erPLycv32t7/VvHnzVF5e7vTUPK+mPtwteHbV2NKmmvpwaiYUB6/cCIA7+P0+zSkrijlmdlmRp84LAAAAQHeuWs598803d3vs6KOP1iOPPOLAbDJbuNXs9HPTcU4wvRFQ/c8mnThsSIpmhXRWWlyoivLJ3bYHFAQDms32AAAAgIzgqhAN9/DC/k/jGwE79/Q9CPg/pcWFKika3udBdQAAAPAmQjR6FN3/GauS6/b9n8Y3Aobk9D0IOIDf79PE0SGnpwEAAAAHuHpPNJzjhf2fpgdBFR9OGAIAAABghhCNXkX3f3YNogXBQFq0t/LCjQAAAAAA7sJybsSU7vs/OQgKAAAAQCIRotGndN//me43AgAAAAC4ByEaGSHdbwQAAAAAcAf2RAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYCjb6QkAsVhWRDX1YYVb25SfG9CEUfny+31OTwsAAABAhiJEw7Wqqhu0rLJWTS1tHY+FggHNKStSaXGhgzMDAAAAkKlYzg1Xqqpu0OKV6zsFaElqamnT4pXrVVXd4NDMAAAAAGQyQjRcx7IiWlZZG3PM8spaWVYkRTMCAAAAgP0I0XCdmvpwtwp0V40tbaqpD6dmQgAAAADwfwjRcJ1wa+wAbXccAAAAACQKIRquk58bSOg4AAAAAEgUQjRcZ8KofIWCsQNyQXB/uysAAAAASCVCNFzH7/dpTllRzDGzy4roFw0AAAAg5QjRcKXS4kJVlE/uVpEuCAZUUT6ZPtEAAAAAHJHt9ASA3pQWF6qkaLhq6sMKt7YpP3f/Em4q0AAAAACcQoiGq/n9Pk0cHXJ6GgAAAAAgieXcAAAAAAAYI0QDAAAAAGCIEA0AAAAAgCFCNAAAAAAAhgjRAAAAAAAY4nRuuIplRWhpBQAAAMC1CNFwjarqBi2rrFVTS1vHY6FgQHPKilRaXOjgzAAAAABgP5ZzwxWqqhu0eOX6TgFakppa2rR45XpVVTc4NDMAAAAA+AwhGo6zrIiWVdbGHLO8slaWFUnRjAAAAACgZ4RoOK6mPtytAt1VY0ubaurDqZkQAAAAAPSCEA3HhVtjB2i74wAAAAAgWThYDI7Lzw0kdFy8LCuiTXVNnAwOAAAAoFeEaDhuwqh8hYKBmEu6C4L7Q22yrH7nI93z+Dtq5GRwAAAAADGwnBuO8/t9mlNWFHPM7LKipFWFX9/UoF/f93qnAC19djL48soabapr4mAzAAAAAIRouENpcaEqyicrFOy8ZLsgGFBF+eSkVYMtK6KHnquOOeb5dR/q1uVv6uq7VtNqCwAAAMhwLOd2GcuKqKY+nJH7ckuLC1VSNDylX39NfbhbBbo30cp0MkM9AAAAAHcjRLtIVXWDllXWdtobnGn7cv1+nyaODqXs/eI58Xt5Za1KioZnzM0NAAAAAJ9hObdLVFU3aPHK9d0O14pWP1lGnBzxnPhNz2oAAAAgcxGiXcCyIlpWWRtzzPLKWg62SoIJo/JVELQfpOlZDQAAAGQmQrQL1NSHY7Z3kqh+Jovf79N5pxfb/rxk96wGAAAA4E6EaBcwrWpS/UyO4yYW6rpvHWdckU52z2oAAAAA7sXBYi5gWtWk+pk8Jx59iIoPzdOGzY16s3arnl/3Ya9jk9mzGgAAAIC7EaJdYMKofIWCgZhLuql+Jl/0ZPCJo0OaMCq/20npBcGAZmfQSekAAAAAuiNEu4Df79OcsiItXrm+1zFUP1PLiZ7VAAAAANyPEO0SpcWFqiifTPXTRVLdsxoAAACA+xGiXYTqJwAAAAC4GyHaZah+AgAAAIB70eIKAAAAAABDhGgAAAAAAAwRogEAAAAAMESIBgAAAADAECEaAAAAAABDhGgAAAAAAAwRogEAAAAAMESIBgAAAADAECEaAAAAAABDhGgAAAAAAAxlOz0BwIRlRVRTH1a4tU35uQFNGJUvv9/n9LQAAAAAZBhCNFyvqrpByypr1dTS1vFYKBjQnLIilRYXOjgzAAAAAJmG5dxwtarqBi1eub5TgJakppY2LV65XlXVDQ7NDAAAAEAmIkTDtSwromWVtTHHLK+slWVFUjQjAAAAAJmOEA3XqqkPd6tAd9XY0qaa+nBqJgQAAAAg4xGi4Vrh1tgB2u44AAAAAOgvQjRcKz83kNBxAAAAANBfhGi41oRR+QoFYwfkguD+dlcAAAAAkAqEaLiW3+/TnLKimGNmlxXRLxoAAABAyhCi4WqlxYWqKJ/crSJdEAyoonwyfaIBAAAApFS20xMA+lJaXKiSouGqqQ8r3Nqm/Nz9S7ipQAMAAABINUI00oLf79PE0SGnpwEAAAAgw7GcGwAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwFBahGjLsvSb3/xGJ598so455hh95zvfUX19vdPTAgAAAABkmLQI0XfeeaeWLVumX/ziF3r44YdlWZYuueQS7dmzx+mpAQAAAAAyiOtD9J49e/SHP/xBV1xxhWbMmKGJEyfqP//zP7Vlyxb9+c9/dnp6AAAAAIAM4voQvWnTJrW2tuqEE07oeCwvL0+TJk3S66+/7uDMAAAAAACZJtvpCfRly5YtkqSDDz640+OFhYUdz8UjO9v19w+QIllZ/k7/BryCaxtexbUNr+Lahld57dp2fYjetWuXJCknJ6fT44FAQDt27IjrNf1+n0Kh3H7PDd6SlzfI6SkgzbRbEW14f7sam3erIG+gJh0xTFl+n9PT6oZrG17FtQ2v4tqGV3nl2nZ9iB44cKCk/Xujo/8tSW1tbRo0KL4fgmVF1Nz8aULmh/SXleVXXt4gNTfvUnu75fR0kCZe39Sgh56rVmNLW8djBcGAzju9WMdNLHRwZp/h2oZXcW3Dq7i24VXpcm3n5Q0yqpa7PkRHl3E3NDTo8MMP73i8oaFBxcXFcb/uvn3u/eHBGe3tFtcFjFRVN2jxyvXdHm9sadOix95RRflklRa7I0hLXNvwLq5teBXXNrzKK9e26xelT5w4UUOGDNGrr77a8Vhzc7M2bNig4447zsGZAchElhXRssramGOWV9bKsiIpmhEAAABSyfWV6JycHJ1//vlasGCBCgoKdOihh+q2227TyJEjddpppzk9PQAZpqY+rKYDlnD3pLGlTTX1YU0cHUrRrAAAAJAqrg/RknTFFVdo3759+tnPfqbdu3fruOOO0+9//3sNGDDA6akByDDh1tgB2u44AAAApJe0CNFZWVm6+uqrdfXVVzs9FQAZLj83kNBxAAAASC+u3xMNAG4yYVS+QsHYAbkgGNCEUfmpmRAAAABSihANADb4/T7NKSuKOWZ2WZH8LuwXDQAAgP4jRAOATaXFhaoon9ytIl0QDLiuvRUAAAASKy32RAOA25QWF6qkaLhq6sMKt7YpP3f/Em4q0AAAAN5GiAaAOPn9PtpYAQAAZBiWcwMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGCNEAAAAAABgiRAMAAAAAYIgQDQAAAACAIUI0AAAAAACGsp2eANzPsiKqqQ8r3Nqm/NyAJozKl9/vc3paAAAAAJByhGjEVFXdoGWVtWpqaet4LBQMaE5ZkUqLCx2cGQAAAACkHsu50auq6gYtXrm+U4CWpKaWNi1euV5V1Q0OzQwAAAAAnEGIRo8sK6JllbUxxyyvrJVlRVI0IwAAAABwHiEaPaqpD3erQHfV2NKmmvpwaiYEAAAAAC5AiEaPwq2xA7TdcQAAAADgBYRo9Cg/N5DQcQAAAADgBYRo9GjCqHyFgrEDckFwf7srAAAAAMgUhGj0yO/3aU5ZUcwxs8uK6BcNAAAAIKMQotGr0uJCVZRP7laRLggGVFE+mT7RAAAAADJOttMTgLuVFheqpGi4aurDCre2KT93/xJuKtAAAAAAMhEhGn3y+32aODrk9DQAAAAAwHEs5wYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwJAvEolEnJ5EqkUiEVlWxn3ZiCEry6/2dsvpaQAJx7UNr+LahldxbcOr0uHa9vt98vl8fY7LyBANAAAAAEA8WM4NAAAAAIAhQjQAAAAAAIYI0QAAAAAAGCJEAwAAAABgiBANAAAAAIAhQjQAAAAAAIYI0QAAAAAAGCJEAwAAAABgiBANAAAAAIAhQjQAAAAAAIYI0QAAAAAAGCJEAwAAAABgiBANAAAAAIAhQjQy0j333KMLLrig02MbN27U+eefr2OOOUYzZ87U/fff79DsAHvC4bD+4z/+Q1/4whd07LHHavbs2Vq3bl3H82vWrNE3vvENTZkyRWeccYaeeuopB2cLmNu+fbuuvvpqTZ8+XSUlJfrud7+r9957r+N5fm/DCzZv3qySkhI9/vjjHY9xbSNdffLJJyouLu72T/T69sq1TYhGxnnooYd0xx13dHqsqalJF198sQ4//HCtWLFCFRUVWrBggVasWOHMJAEbrrzySr355pu6/fbbtWLFCh155JH69re/rffff1/vvfee5s6dq5NPPlmPP/64vvnNb2revHlas2aN09MG+lRRUaG6ujotWbJEjz32mAYOHKiLLrpIu3bt4vc2PGHv3r266qqr9Omnn3Y8xrWNdLZp0yYFAgG9/PLL+tvf/tbxz1e+8hVPXdvZTk8ASJVPPvlEP//5z/Xqq69qzJgxnZ579NFHNWDAAN10003Kzs7WuHHjOv7HbdasWc5MGDBQV1enV155RcuWLVNpaakk6frrr9fLL7+sJ598Utu3b1dxcbF+9KMfSZLGjRunDRs2aOnSpTrhhBOcnDoQ044dO3TooYdq7ty5mjBhgiTpsssu01lnnaXa2lqtWbOG39tIe4sWLdKQIUM6Pcb/kyCd1dTUaMyYMSosLOz23H333eeZa5tKNDLGu+++qwEDBuiJJ57QlClTOj23bt06TZs2TdnZn91Xmj59uj744ANt27Yt1VMFjIVCIS1ZskSf+9znOh7z+Xzy+Xxqbm7WunXruoXl6dOnq6qqSpFIJNXTBYwNHTpUCxcu7AjQjY2NuvfeezVy5EiNHz+e39tIe6+//roeeeQR3XzzzZ0e59pGOquurta4ceN6fM5L1zYhGhlj5syZWrRokUaNGtXtuS1btmjkyJGdHoveQfv4449TMj8gHnl5eTrllFOUk5PT8dhzzz2nuro6nXzyyb1e29HlsEA6uP7663XCCSfoqaee0vz58zV48GB+byOtNTc3a968efrZz36mgw8+uNNzXNtIZzU1NWpsbNR5552nE088UbNnz9ZLL70kyVvXNiEakLR79+5OIUSSAoGAJKmtrc2JKQFxeeONN3TdddfptNNO04wZM3q8tqMf79mzx4kpArZ961vf0ooVK3TmmWeqoqJC7777Lr+3kdZuuOEGlZSU6Gtf+1q357i2ka727dun999/Xzt27NDll1+uJUuW6JhjjtF3v/tdrVmzxlPXNnuiAUkDBw7sFiiif5gHDx7sxJQA2yorK3XVVVfp2GOP1YIFCyTt/8up67Ud/XjQoEEpnyMQj/Hjx0uS5s+fr7ffflsPPvggv7eRtlatWqV169bpySef7PF5rm2kq+zsbL366qvKysrSwIEDJUmTJ09WbW2tfv/733vq2iZEA5JGjhyphoaGTo9FPx4xYoQTUwJsefDBBzV//nydccYZuuWWWzru9B588ME9XtuDBw9WMBh0YqqAkcbGRq1Zs0ann356x/45v9+v8ePHq6Ghgd/bSFsrVqzQ9u3bNWPGjE6P//znP9fTTz/NtY20lpub2+2xoqIi/e1vf/PUtc1ybkDScccdp6qqKrW3t3c8tnbtWo0dO1bDhg1zcGZA35YtW6Zf/OIXOu+883T77bd3Wio1depUvfbaa53Gr127Vscee6z8fv4KgHtt27ZNV155Zad2bHv37tWGDRs0btw4fm8jbS1YsEBPP/20Vq1a1fGPJF1xxRWaP38+1zbSVm1trY499li9+uqrnR5fv369xo8f76lrm/+DAiTNmjVLO3fu1E9/+lP94x//0OOPP657771Xc+fOdXpqQEybN2/Wr371K5166qmaO3eutm3bpq1bt2rr1q1qaWnRBRdcoHfeeUcLFizQe++9pz/84Q969tlndckllzg9dSCmCRMm6Atf+IJ++ctf6vXXX1dNTY2uvfZaNTc366KLLuL3NtLWiBEjNHr06E7/SNKwYcM0YsQIrm2krXHjxumII47QTTfdpHXr1um9997Tr3/9a7311lu69NJLPXVt+yL0OEEGuvbaa/Wvf/1LDzzwQMdj77zzjubPn68NGzZo+PDh+n//7//p/PPPd3CWQN/uvvtu/ed//mePz5WXl+vmm2/WSy+9pNtuu00ffPCBDjvsMF1++eX6yle+kuKZAva1tLRo4cKFqqysVEtLi6ZOnaprr71WRUVFkvi9De8oLi7Wr3/9a33jG9+QxLWN9LVt2zYtXLhQL7/8spqbmzVp0iRdddVVmjp1qiTvXNuEaAAAAAAADLGcGwAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgAAAAAAQ4RoAAAAAAAMEaIBAAAAADBEiAYAAAAAwBAhGgCAJLj22mtVXFwc858LLrgg5fO66667VFxcrHfeeafXMb/4xS9UUlKinTt39vl61157rWbOnJnIKQIA4GrZTk8AAAAvuuyyy3Tuued2fHznnXdqw4YN+u1vf9vx2JAhQ1I+r/Lycv3mN7/Rk08+qaOPPrrb83v27NGf/vQnnXHGGY7MDwAAtyNEAwCQBIcffrgOP/zwjo8LCgqUk5OjY445xrlJSRo5cqROOukkPf3007r22muVlZXV6fkXX3xR4XBY55xzjkMzBADA3VjODQCAgx5//HFNmjRJ//M//6PPf/7zmjZtmv7xj39o5syZuvbaa7uNLS4u1ocfftjxWE1NjebOnatjjz1Wxx57rCoqKlRfXx/zPWfNmqVt27ZpzZo13Z5buXKljjjiCJWWlqq9vV1LlizRmWeeqaOPPlrHHHOMzj33XK1du7bX1y4uLtaiRYs6PbZo0SIVFxd3emzdunU6//zzNWXKFE2bNk3XXHONGhsbY84bAAA3IEQDAOCw9vZ2/eEPf9D8+fN13XXXady4cUaft3nzZp177rnavn27brnlFs2fP1/19fWaPXu2tm/f3uvnzZw5U6FQSE8++WSnxxsbG/XSSy91VKEXLFigO++8U//+7/+upUuX6he/+IXC4bB+8IMfaNeuXXF/va+//rouuugiDRw4UHfccYd+8pOf6LXXXtOFF16o3bt3x/26AACkAsu5AQBwge9973uaMWOGrc/57W9/q0GDBunee+/t2L98wgknqKysTEuXLtU111zT4+fl5OTo61//uh577DHdeOONGjhwoCTpqaeekiSdffbZkqSGhgb96Ec/6nQAWiAQ0OWXX67q6uq4l6YvXLhQY8eO1T333NOxnHzKlCn66le/qhUrVui8886L63UBAEgFKtEAALjAkUceaftz1q5dq2nTpmngwIHat2+f9u3bpyFDhmjq1KlavXp1zM+dNWuWWltb9cILL3Q8tnLlSs2YMUPDhg2TtD/sfutb31JjY6PWrVunFStW6IknnpC0/wCyeOzatUtvv/22TjnlFEUikY55jxo1SuPGjdMrr7wS1+sCAJAqVKIBAHCBwYMH2/6ccDisp59+Wk8//XS35woKCmJ+bnFxsSZPnqwnnnhCX/nKV/SPf/xD7777rn7wgx90jPn73/+uG2+8UX//+981aNAgjR8/XocccogkKRKJ2J6vJDU3N8uyLP3ud7/T7373u27PBwKBuF4XAIBUIUQDAOBS7e3tnT7+9NNPO30cDAZ14okn6uKLL+72udnZff8Vf84552j+/PkKh8NatWqVRowYoZNOOkmStHPnTl1yySUqLi7WU089pSOOOEJ+v18vvviinnvuubjnnZubK5/Pp4suukhf/epXu33uoEGD+pw3AABOIkQDAOBCQ4YM0ZYtWzo9VlVV1enj6EneRx55ZEdojkQiuuqqqzR69Og+l4ifeeaZuvnmm/WXv/xFzzzzjMrLyzv2KL///vsKh8O68MILNX78+I7PeemllyRJlmX1Ou9PPvmk02NvvPFGp+cnTZqk999/X5/73Oc6Ht+9e7euuOIKnXLKKZ3eDwAAtyFEAwDgQl/84hd1zz336J577tGUKVP0wgsvdGstddlll+ncc8/V3LlzNXv2bAUCAT3yyCOqrKzUb37zmz7fIxgM6tRTT9Xdd9+tf/3rX516Q48dO1ZDhgzR3XffrezsbGVnZ+u5557TY489Jkm9ns49Y8YMPfXUU5oyZYpGjx6txx9/XHV1dZ3GXHnllfrud7+rH//4x/r617/ecTr522+/rcsuu8zutwoAgJTiYDEAAFxo7ty5+uY3v6nf//73uvTSS7V161bNnz+/05iJEyfqoYceks/n07x583TFFVdo69atWrx4sU477TSj9znnnHP0wQcf6Pjjj9eoUaM6Hg8Gg7rzzjsViUT0gx/8QPPmzdNHH32kBx98ULm5uVq3bl2Pr3fdddfpi1/8om655RZdccUVGjx4sH784x93GnPSSSfp97//vbZs2aIrrrhC8+bNU1ZWlv77v/877hO/AQBIFV8k3pNBAAAAAADIMFSiAQAAAAAwRIgGAAAAAMAQIRoAAAAAAEOEaAAAAAAADBGiAQAAAAAwRIgGAAAAAMAQIRoAAAAAAEOEaAAAAAAADBGiAQAAAAAwRIgGAAAAAMAQIRoAAAAAAEP/H8e+zRzm4gWnAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 1170x827 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot a Scatter plot for prediction and y_test)\n",
        "plt.scatter(y_test, reg_pred)\n",
        "plt.xlabel('True Value ')\n",
        "plt.ylabel('Predict value')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eKPrHjOI_24g",
        "outputId": "fe14e676-a180-4ac6-a840-1bc5142226ed"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "173    -5.048960\n",
              "274    -4.095014\n",
              "491    -1.811193\n",
              "72     -2.603213\n",
              "452    -2.755280\n",
              "         ...    \n",
              "441    -0.303672\n",
              "23      1.114059\n",
              "225    10.016575\n",
              "433    -2.382863\n",
              "447    -5.685618\n",
              "Name: price, Length: 152, dtype: float64"
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# residuals\n",
        "residuals = y_test - reg_pred \n",
        "residuals"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 365
        },
        "id": "M0TIdkkRAiGT",
        "outputId": "a933e131-0428-4774-9e94-6b860d6ee10b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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IpApKW/IksbWa2EVE6sZAJlU4veRJGTOsJae7rBnIRGrHQCZVCC15UloL2czduogoiIFMqiCN0aYq5GAJiY2bgxBRC9kDORAIYPny5Rg3bhxGjBiBe+65ByUlJWe9v7q6Go8++igKCwsxevRoLFiwAG63u809H374Ia677joMHz4c11xzDdavXx/ld0FKJoqiYlvI0vaZtfVeBAKizKUhIjnJHsgrVqzA6tWr8eyzz2LNmjUIBAKYMWMGvN6ON0qYOXMmiouL8dZbb+Hll1/GZ599hvnz54ce37x5Mx5//HEUFRXhb3/7G26//XbMnTsXn332WQ+9I1Iat8cHj9cP4PSYrVKkJBmgEQT4AyJcjdwchEjNZA1kr9eLVatWYebMmZgwYQIGDx6MZcuWoaysDB9//HG7+3ft2oWtW7di8eLFGDZsGMaMGYNnnnkGGzZsQHl5OQDg008/xaBBg3DbbbchNzcXt99+OwYPHowvvviip98eKYQ0w9qcoIdRr5W5NG1pNAJSzAYA7LYmUjtZA3n//v1oaGjAmDFjQtcsFguGDh2Kbdu2tbt/+/btyMjIQH5+fuja6NGjIQgCduzYAQBIS0vDwYMHsXnzZoiiiC1btuDw4cO4+OKLo/+GSJGU2l0t4W5dRAQAOjm/eFlZGQCgV69eba5nZmaGHmutvLy83b0GgwFWqxWlpaUAgGnTpmHPnj2YPn06tFot/H4/fv7zn+OGG24Iu7w6new9/D1Gq9W0+TOWSWt8062mHvs37Er9pVlMOHLKBVejV1WfsbOJp8+eHFh/4ZGz/mQNZGkylsFgaHPdaDSitra2w/vPvFe63+MJ/tAtLS1FdXU15s2bh4KCAmzevBnLli1Dbm4ubrnllm6XVaMRYLMldfv5scpiSZC7CGFr8ATHj3tnJvf4v2Fn6q9XhhnY70Cj16/Kz9jZxMNnT06sv/DIUX+yBrLJFOxC9Hq9ob8DgMfjQUJC+8owmUwdTvbyeDxITEwEADz44IO47rrrcPvttwMAhgwZgtraWixZsgRTpkyBRtO933oCAREuV2O3nhuLtFoNLJYEuFxu+P2xfTTgKUc9AMBs1KK6uqFHvmZX6i/BEPxMllbU91j5lCyePntyYP2FJxr119lftGUNZKn72eFwIC8vL3Td4XBg0KBB7e632+345JNP2lzzer2oqalBZmYmnE4njhw5gosuuqjNPSNGjMBrr72GmpoapKamdru8Pp/6Ptx+fyDm33dlbbAnxmo29vh76Uz9pSQFe32qaptivq4jKR4+e3Ji/YVHjvqTdZBh8ODBMJvN2LJlS+iay+XC3r17UVhY2O7+wsJClJWVobi4OHRt69atAICRI0ciJSUFCQkJOHDgQJvnHThwABaLJawwptjV+qQnJZLWInOWNZG6ydpCNhgMKCoqwtKlS5Gamors7GwsWbIEdrsdkyZNgt/vh9PpRHJyMkwmE4YPH46CggLMmjUL8+fPR2NjI+bNm4fJkycjKysLAHDHHXfgtddeQ0ZGBkaOHIkdO3Zg5cqVeOCBB+R8qyQTfyCA6rrgMIfSTnqSSLOsq+s9EEVRUcdDElHPkTWQgeBGHz6fD0899RSamppQWFiIN998E3q9HidOnMAVV1yBRYsWYcqUKRAEAa+++ioWLFiA6dOnw2g04uqrr8bcuXNDr/fQQw/BZrNh5cqVKC0tRU5ODmbPno3bbrtNxndJcqmt9yIgitC2Wu+rNNaW/aybfQE0NPlgTtDLXCIikoMgiiL36+sEvz8Ap1M9E250Og1stiRUVzfE9DjUwRM1WPTuTqSnmPDr+3/QY1+3q/X30PIvUNfYjPl3FiIvK7kHSqhc8fLZkwvrLzzRqL+MjM59T3OhGsU1pW8KIgl1W3McmUi1GMgU16qlU54UHsihiV31DGQitWIgU1wLtZBTlDnDWhJqIXP7TCLVYiBTXAudg5ys7BaylV3WRKrHQKa4JrWQld9lLQVyk8wlISK5MJAprjlDk7pipMu6nmciE6kVA5niltvjQ0OTD4DyW8g2tpCJVI+BTHHL2TIem2jUIcEo+x445yQFstvjh9vjk7k0RCQHBjLFreoYGT8GAJPh9C8NnNhFpE4MZIpbVTEyfixJbbWnNRGpDwOZ4lZVjGwKIuFaZCJ1YyBT3AoduxgjLWQrJ3YRqRoDmeKWM0b2sZakcnMQIlVjIFPcipVNQSRSl7WTgUykSgxkiksBUQxtmxkrLWRby/aeNQxkIlViIFNcqmvwwh8QIQiANdkgd3E6hS1kInVjIFNckmZY25KN0Gpi42MuBXK9uxnNPr/MpSGinhYbP6mIuig0w1rhpzy1lmTSwaALfktyYheR+jCQKS5VxdiSJwAQBKHVntYMZCK1YSBTXKqKsSVPEgYykXoxkCkuOWNsly4JA5lIvRjIFJdit4UcLC9nWhOpDwOZ4lJ1DI4hA6dbyFyLTKQ+DGSKO95mP1yNzQCAtJTYaiGnci0ykWoxkCnuSOOvRr0WiS1nDMcKHjBBpF4MZIo7rZc8CYIgc2m6Rmoh19Z74fMHZC4NEfUkBjLFnVid0AUAyUkGaDUCRACuBq/cxSGiHsRAprgTq0ueAEAjCLCaufSJSI0YyBR3Tp+DHFszrCVci0ykTgxkijvOGDsH+Uw89YlInRjIFHeqYuwc5DPZONOaSJUYyBRXRFFs1UKOzS7rVHZZE6kSA5niSr27GV5fcLmQLYaOXmzNykAmUiUGMsUVaYZ1SpIBel1sfrylM5yl90JE6hCbP7GIzqIqxid0Aae72mvqPQgERJlLQ0Q9hYFMcSXWlzwBQIrZAI0gwB8QUcvNQYhUg4FMcSWWNwWRaDUa2JINAE7/gkFE8Y+BTHEllrfNbE36haKKgUykGgxkiiuxvuRJIv1CwYldROrBQKa4Eg+TugC2kInUiIFMccPnD6C2PjgJKta7rKVJaRxDJlIPBjLFjeo6D0QAOq0GyYl6uYsTllALuZaBTKQWDGSKG62XPAmCIHNpwpPGLmsi1WEgU9yIhyVPEuk9NDT50OT1yVwaIuoJDGSKG/Gy5AkAEk06JBi1ADjTmkgtGMgUN+JlyZMkNbT0id3WRGrQrUAuLy+PdDmIwlYVR13WAMeRidSmW4F8+eWXY8aMGdi0aRO8Xu61S8rgjKMua6B1ILPLmkgNuhXIixYtQiAQwGOPPYaxY8diwYIF+PbbbyNdNqIuqYq7LmuuRSZSE113nnTjjTfixhtvRHl5OdatW4cNGzbgz3/+M/r3748pU6bghhtuQHp6eqTLSnRWjU0+NHn9AOKvy5qBTKQOYU3qysrKws9//nP8/e9/x9q1a2Gz2bBkyRJMmDABDz74IHbv3h2pchKdkxRa5gQ9jHqtzKWJDG6fSaQuYc+y3r59O55++mncfffd2LFjB374wx9izpw5cLvdmDp1Kt56660IFJPo3OJpyZOk9QETAVGUuTREFG3d6rIuLi7Ghg0b8Ne//hUnT55EdnY2pk2bhilTpqBXr14AgKKiIjz22GN47bXX8LOf/SySZSZqJ96WPAGANdkAQQD8ARGuBi+s5vh5b0TUXrcC+aqrroLRaMSVV16JZ599FmPGjOnwvn79+uHYsWPhlI+oU+JtyRMAaDUa2JKNcLo8qHI1MZCJ4ly3Avnpp5/GDTfcgOTk5HPe94tf/AK/+MUvulUwoq6ItyVPklSLKRjItU3I750id3GIKIq6NYb80UcfweFwdPjY/v37cf3114dVKKKuirclT5LW48hEFN863ULevn07xJaJJVu3bsW2bdvgdDrb3fevf/0LJSUlkSshUSdIgRV/LeTgLxicaU0U/zodyO+//z42bNgAQRAgCAIWLFjQ7h4psK+77rrIlZDoPAIBEdV18TeGDHAtMpGadDqQn3rqKdx8880QRRHTp0/HvHnz0L9//zb3aDQaWCwWDBgwIOIFJTqbmvrgsiCtRkCK2SB3cSKKa5GJ1KPTgZycnIzRo0cDAN5++20MGzYMSUlJYRcgEAjg1Vdfxfvvv4+6ujoUFhZi3rx5yM3N7fD+6upqPPfcc/j8888hCAKuvfZaPP7440hISAjds2fPHixevBjffvstbDYbbr75Zvzyl7+ERsPDreKR1F1tSzZCIwgylyayOIZMpB6dDuT169fjRz/6EWw2G06dOoVTp06d8/7Jkyd36nVXrFiB1atX44UXXoDdbseSJUswY8YMbNy4EQZD+9bOzJkz4Xa78dZbb8HlcuHJJ59EY2MjFi9eDAA4evQo7rjjDtxwww1YuHAhDhw4gLlz5yIhIQH33HNPZ98uxZDTE7riq7saANJaxpDr3c3weP0wGuJjFzIiaq/TgTxnzhy89957sNlsmDNnzjnvFQShU4Hs9XqxatUqPPbYY5gwYQIAYNmyZRg3bhw+/vjjdmPRu3btwtatW7Fp0ybk5+cDAJ555hnMmDEDjzzyCLKysrBy5Ur0798fCxYsgCAI6Nu3Lw4cOICdO3d29q1SjDm95Cm+ZlgDQIJRB5NBiyavH866JvRKC79XioiUqdOB/OmnnyIjIyP090jYv38/Ghoa2mwsYrFYMHToUGzbtq1dIG/fvh0ZGRmhMAaA0aNHQxAE7NixA9dccw2+/PJLzJgxA0KrrsuZM2dGpLykTPHcQhYEAWkWE05WNqDKxUAmimedDuTs7OwO/y7x+Xyor6+H1Wrt9BcvKysDgNB2m5LMzMzQY62Vl5e3u9dgMMBqtaK0tBT19fWoqKhAcnIynnjiCXz++eewWCyYPHky7r77bmi17O6LR/G65EmSlhIMZI4jE8W3bu3U5fP58Prrr6NPnz64/vrrsWXLFsycORMulwujR4/G8uXLkZJy/l2F3G43ALQbKzYajaitre3w/o7GlY1GIzweD+rr6wEAixcvxh133IHf/e532LdvHxYuXIjGxkY8/PDD3Xi3p+l06pkUptVq2vypZM66YAs5w5agmH+jSNZfekrwF43qOo9i3l80xdJnT4lYf+GRs/66FcjLly/Hm2++iSeeeAIA8Nxzz8FqteKBBx7AH/7wB7z44ot45plnzvs6JlPwB43X6w39HQA8Hk+bWdOt7/d6ve2uezweJCYmQqcLvp0f/OAH+OUvfwkAGDJkCJxOJ37729/ioYceatOV3RUajQCbTX3dhRZL+38HpZHWIF+Qa1Pcv1Ek6i/HbgFwEi53s+LeXzTFwmdPyVh/4ZGj/roVyB9++CEeeeQR3H777Th8+DAOHjyIF154AZMnT4bVasWvf/3rTgWy1P3scDiQl5cXuu5wODBo0KB299vtdnzyySdtrnm9XtTU1CAzMxM2mw1GoxEDBw5sc8+AAQPQ2NgIp9OJtLS07rxlBAIiXK7Gbj03Fmm1GlgsCXC53PD7A3IX56yavD7UNTYDAPQQUV3dIHOJgiJZf2ZjcKjlpKNeMe8vmmLls6dUrL/wRKP+OvuLdLcC2eFwYPjw4QCAf//739BoNBg/fjyAYGjW1dV16nUGDx4Ms9mMLVu2hALZ5XJh7969KCoqand/YWEhli5diuLiYvTp0wdAcBtPABg5ciS0Wi0KCgqwe/fuNs87cOAALBZLl8a3O+Lzqe/D7fcHFP2+Hc7gsEeCUQe9VqO4skai/mzJwdnjFTVuxb2/aFL6Z0/pWH/hkaP+utVJnpmZiRMnTgAA/vnPf2LIkCFITU0FEFyaZLfbO/U6BoMBRUVFWLp0KT799FPs378fs2bNgt1ux6RJk+D3+1FRUYGmpuAY4fDhw1FQUIBZs2Zhz5492Lx5M+bNm4fJkycjKysLAHD//ffjiy++wCuvvILjx49j06ZNeOONNzB9+nRO6opD8bzkSZKREuw6q6nzoJk/YIniVrcC+brrrsOiRYtw9913Y8eOHbj55psBAAsXLsQrr7zSpdOeZs6ciVtuuQVPPfUUpk6dCq1WizfffBN6vR6lpaUYO3YsNm3aBCC4BOTVV19FTk4Opk+fjocffhjjx4/H/PnzQ6936aWXYuXKlfjXv/6Fa665BkuWLMG9997LYyDjlDNO97BuLTlRD4NeAxHcQpMongmidCJEF4iiiDfeeAPbtm3DpZdeGtoB67bbbsPo0aPx0EMPxV1r1O8PwOmM//E7iU6ngc2WhOrqBkV3e637/Ag2/ucYLr8kG9Ouaj/vQC6Rrr+nf78FJysb8Mj/DseF/bo3DyJWxMpnT6lYf+GJRv1lZCR37mt358UFQcB9992H++67r831NWvWdOfliLrNGafnIJ8pvWUtckUtW8hE8apbgQwAdXV12Lx5MxobG9FRI7uze1kThaMqNIYcv13WAJBuDY4jV9a6ZS4JEUVLtwL5iy++CB3y0JHO7mVNFC5p96p4HkMGgIyWzUEqa9hCJopX3QrkF198Ef369cPcuXORlZXFYw1JFgFRDO3SFfdd1mwhE8W9bgXy4cOHsWLFCowaNSrS5SHqtLoGL3x+EYIAWM1xHsgtLeQKtpCJ4la3mra9e/cO7RtNJBdpyZPVbIQuzvftzWhpIde7m9Hk9clcGiKKhm79FLvvvvvw29/+NrQ5CJEcqmrVMaELCO5ElmQKdmhxHJkoPnWry3rjxo0oLy/Hj3/8Y6SmprY5GAIITuo6c89pokhTy5InSbo1AQ1ldaiodSMn0yx3cYgowroVyHa7vdPbYxJFS1Wcn4N8powUE4rL6jiOTBSnuhXIixYtinQ5iLrsdAtZHYGcaUsEAFRUc6Y1UTzq9sYgQHC29VdffQWHw4Fp06ahpKQkdIITUbRVqazLOtMWnNjlqGEgE8WjbgVyIBDAvHnzsHbtWoiiCEEQ8D//8z9YsWIFjh8/jnfffZdd2hR1TpXs0iWRZlo7qtVzLjeRmnRrlvWKFSuwceNGPPfcc/jqq69CW2fOnj0bgUAAy5Yti2ghic7U7PPD1dgMQD1d1lk2aXOQJvgDPDSAKN50K5DXrl2LmTNn4uabb4bVag1dHzJkCGbOnImvvvoqUuUj6pC0ZaZRrw0tB4p31uTgemt/QAy9fyKKH90K5MrKSgwZMqTDx7KysuByucIqFNH5VErd1SkmCIIgc2l6hkYQkGEN9gZwHJko/nQrkPv06YPPPvusw8e2bt2KPn36hFUoovNR06YgrWWGxpEZyETxplt9fdOnT8e8efPQ3NyMyy+/HIIgoLi4GFu2bMGqVaswZ86cSJeTqI3TgayOGdaS4NKnKk7sIopD3QrkW2+9FU6nE6+99hpWr14NAHjkkUeg1+sxY8YMTJ06NaKFJDqTs1WXtZqElj6xhUwUd7o9G+aee+7B9ddfj61bt0Kn0yE5ORnDhw9vM8mLKFqqVLbkScK1yETxq8uB/Le//Q1r1qzB7t274fMFT50xmUwoKCjA1KlTceWVV0a8kERnqqxV1y5dEmkMuaLaHdoDgIjiQ6cD2e/349FHH8U//vEPZGVl4dprr0V6ejpEUURZWRm2bt2KBx98EDfeeCNeeOGFaJaZVC4QEFHdcvRiusq6rNNSTNAIAry+AGrqvbAlq2sMnSiedTqQV69ejY8//hhPPvkkioqK2v1m7vf7sWbNGjz//PMYNWoUbrnllogXlggAahu88AdEaAQBVrO6Akmn1SDVYkRlbRMc1Y0MZKI40ullT+vXr8dtt92GadOmddhNptVqcfvtt+N///d/sW7duogWkqg1aYa1LdkIjUZ9Xbb21OAhE+Wc2EUUVzodyEePHsX48ePPe9+4cePw/fffh1UoonOpUukMa4kUyGVVXPpEFE86HchutxspKSnnvc9ms6GhoSGsQhGdi1pnWEuypEB2MpCJ4kmnA1kURWi12vO/oEYTOmyCKBpCm4KkqHP81J7GQCaKR93aOpNITmpvIdttwUCuqHHz1CeiONKldcjz58+H2Ww+5z319fVhFYjofNQ+hmyzGGHQaeD1BVBZ0xTqwiai2NbpFnJhYSGSkpIgiuI5/5eUlIRRo0ZFs8ykYqIoqvZgCYlGEFr2tAZK2W1NFDc63UJ+5513olkOok5p9PjQ5PUDUN8uXa3Z0xJxoqIe5QxkorjBMWSKKVLrODlRD6P+/JMM45WdM62J4g4DmWKK2id0SeypwT2t2UImih8MZIopah8/lthTkwBwDJkonjCQKaY4XcFDJdQ6w1oitZBr671we3wyl4aIIoGBTDGlkl3WAIBEkx4pSQYAQCm30CSKCwxkiilVKj0HuSO904Pd1qcquVUtUTxgIFNMkSZ1qe0c5I70TmsJ5CoGMlE8YCBTzGj2+eFq8ALgGDIA9E4PLn1iC5koPjCQKWZIE7oMeg2STF3a9TUuscuaKL4wkClmtJ7QJQiCzKWRnxTIVbVN8LTsXkZEsYuBTDHDWavuQyXOlJxoQHKiHiK4YxdRPGAgU8zgLl3thSZ2sduaKOYxkClmcJeu9kLjyJxpTRTzGMgUMyrZZd0OJ3YRxQ8GMsWMylo3ACAjJUHmkihH77Tg0qeTDGSimMdAppjg8wfgrAsue0q3soUsyc4wAwAqqt3wNHOmNVEsYyBTTHC6miCKgF6nCe3hTIAlyQBLy0xrdlsTxTYGMsUEafw4PYVrkM+UkxlsJZc46mUuCRGFg4FMMeF0IHP8+Ew5Ld3WJxjIRDGNgUwxoaImOKGL48ft5ba0kE9UMJCJYhkDmWKC1ELmDOv2pBZyiaMeoijKXBoi6i4GMsWESqmFzDXI7fROT4RGENDQ5ENNvVfu4hBRNzGQKSZUSC1kK1vIZ9LrtLC3rEdmtzVR7GIgk+J5mk+fg8wx5I7lZAR37OLELqLYxUAmxZPGjxOMOiSZ9DKXRplyufSJKOYxkEnxOH58flIgH2cgE8UsBjIpXutNQahjfbKSAQClVQ3weLmFJlEsYiCT4oUOleCErrNKMRuRYjZAFIESTuwiikkMZFK8yhq2kDtDaiUXl9XJXBIi6g4GMileRa20SxdbyOcSCuRyBjJRLJI9kAOBAJYvX45x48ZhxIgRuOeee1BSUnLW+6urq/Hoo4+isLAQo0ePxoIFC+B2uzu81+v14vrrr8ecOXOiVXzqAVILOYMt5HPqYw8G8nG2kIlikuyBvGLFCqxevRrPPvss1qxZg0AggBkzZsDr7XjHoZkzZ6K4uBhvvfUWXn75ZXz22WeYP39+h/f++te/xvfffx/F0lO0NTY1o9HjA8CDJc5HaiGfrGxAsy8gc2mIqKtkDWSv14tVq1Zh5syZmDBhAgYPHoxly5ahrKwMH3/8cbv7d+3aha1bt2Lx4sUYNmwYxowZg2eeeQYbNmxAeXl5m3u/+OIL/P3vf8eAAQN66u1QFFS0tI4tiXoYDVqZS6NsqRYjzAl6+AMiTlZyYhdRrJE1kPfv34+GhgaMGTMmdM1isWDo0KHYtm1bu/u3b9+OjIwM5Ofnh66NHj0agiBgx44doWtOpxNz587Fs88+C5vNFt03QVFVyfHjThMEAX2yguuRObGLKPbo5PziZWVlAIBevXq1uZ6ZmRl6rLXy8vJ29xoMBlitVpSWloauPfnkk7j88ssxceJE/OEPf4hYeXU62Xv4e4xWq2nzp1ycdR4AQKY1IabqX67669vbgv8eq8bx8vqYqq/WlPLZi1Wsv/DIWX+yBrI0GctgMLS5bjQaUVtb2+H9Z94r3e/xBH9wr1mzBocPH8aLL74Y0bJqNAJstqSIvmYssFjkbZm63MHx49xelpis/56uv4sHZOLD/xSjuLw+JuurNbk/e7GO9RceOepP1kA2mYKzZr1eb+jvAODxeJCQ0L4yTCZTh5O9PB4PEhMTceTIESxZsgRvvvkmEhMTI1rWQECEy9UY0ddUMq1WA4slAS6XG36/fBOETpS7AABmoxbV1Q2ylaOr5Kq/rBQjAOBYqQtlDheM+tgbd1fKZy9Wsf7CE4366+wvx7IGstT97HA4kJeXF7rucDgwaNCgdvfb7XZ88sknba55vV7U1NQgMzMTmzZtQkNDA+68887Q401NTdi5cyc++ugj7Nq1K6zy+lQ4c9XvD8j6vqVJXanJppis/56uv+QEPVLMBtTWe3HkZC0G5Fh77GtHmtyfvVjH+guPHPUn6yDD4MGDYTabsWXLltA1l8uFvXv3orCwsN39hYWFKCsrQ3Fxceja1q1bAQAjR45EUVERPvroI6xfvz70vwsvvBATJ07E+vXro/5+KLJEUWw1qYtrkDtDEAT062UBABw55ZK5NETUFbK2kA0GA4qKirB06VKkpqYiOzsbS5Ysgd1ux6RJk+D3++F0OpGcnAyTyYThw4ejoKAAs2bNwvz589HY2Ih58+Zh8uTJyMrKAgBYrdY2X8NkMiEpKQl9+vSR4R1SOFyNzfA2ByAASLMwkDurX28Ldh2sxNFSBjJRLJF9Gt7MmTNxyy234KmnnsLUqVOh1Wrx5ptvQq/Xo7S0FGPHjsWmTZsABH/7f/XVV5GTk4Pp06fj4Ycfxvjx48+6MQjFNunYRZvFCB1njHbaBWwhE8UkWVvIAKDVajF79mzMnj273WM5OTk4cOBAm2tpaWlYvnx5p1//nXfeCbuMJI/QHtbcoatL+totEBA8ttLV6IUlsf3KBCJSHjY7SLEc1cFAzrQxkLsi0aSDPS24yuAoW8lEMYOBTIpV7gwGchYDucvye6cAAA6far+en4iUiYFMiuWoCa77zrJFdk25GvTPCQbyoRMMZKJYwUAmxWKXdff1zw4G8pFTLvi4OQRRTGAgkyI1NvlQ19gMAMjgwRJdZk9LRJJJB68vgBIHT34iigUMZFIkqbs6JcmABKPsiwFijkYQkJ/NbmuiWMJAJkVid3X4BrSMIx88yUAmigUMZFKkcgZy2PqHWsg1EEVR5tIQ0fkwkEmRHM5gl3UmZ1h3W99eFmg1AmrqvaiqbZK7OER0HgxkUqTyGq5BDpdRr0UfezIA4EBJjbyFIaLzYiCTIkljyFyDHJ7BeTYAwP7iaplLQkTnw0AmxXF7fHA1eAFwyVO4BvexAgD2H6/mODKRwjGQSXGk1nFyoh6JJi55CseAbCu0GgFVLg8qOI5MpGgMZFIcRw27qyPFaNDigt7B4xjZbU2kbAxkUhxHtTTDmt3VkRAaRz7OQCZSMgYyKY50yhMDOTKG5FkBBFvIHEcmUi4GMimO1EJml3Vk5GenQKcNrkeWNlwhIuVhIJPiSGuQ2UKODINeGzofmePIRMrFQCZF8Xj9qK0PLnliIEfO4D4cRyZSOgYyKUp5S3e1OUGPJJNe5tLEj8HSOPJx7mtNpFQMZFKU0zt0sXUcSf16p0Cv08DV4EVpVaPcxSGiDjCQSVEcHD+OCr1OEzr9id3WRMrEQCZFKecpT1EzuNXyJyJSHgYyKQq7rKNnSJ9UAMC+4moEAhxHJlIaBjIpyukua7aQI+2C3slINOrQ0OTD0VKX3MUhojMwkEkxPF4/qus8ADiGHA1ajQZDLwi2kr89UiVzaYjoTAxkUoyylvHj5EQ9zAlc8hQNF/VjIBMpFQOZFKPU2QAAsKeyuzpaLuqXBgA4VloXOnOaiJSBgUyKUdayPrZXGgM5WqxmI/IyzRABfHeUrWQiJWEgk2JIG1bYU5NkLkl8uyg/2Er+9ohT5pIQUWsMZFIMaQzZzhZyVEnd1t8dqeLyJyIFYSCTIgREMRTI7LKOrvxsCxK4/IlIcRjIpAjO2iY0+wLQaQWkp5jkLk5c02o0GNY3ePoTZ1sTKQcDmRShtNWWmVoNP5bRJnVbM5CJlIM/+UgRQjOsueSpR1zYevlTI5c/ESkBA5kUoZQTunqULdmI3JblT//lbGsiRWAgkyKUVXFTkJ52ccvyp28OVcpcEiICGMikEKdCm4JwDXJPuWRABgBgz5EqNPv8MpeGiBjIJLt6d3NoG8fe6Wwh95S+vZJhSzbC4/Xjv8d4RjKR3BjIJLtTlcHu6jSLCSaDTubSqIdGEFDQ0kreeaBC5tIQEQOZZHeyJZB7p7O7uqcVDAoG8jeHKuEPBGQuDZG6MZBJdlILOZuB3OMG5qbAnKBHvbsZ35fUyl0cIlVjIJPsTrGFLButRoPh/YOzrXd+z25rIjkxkEl2DGR5jRyYCSAYyKLIwyaI5MJAJlnVu5tR2zLDmodKyGPYBTYY9VpU13lwrKxO7uIQqRYDmWR1eoa1EQlGzrCWg16nDZ2RzG5rIvkwkElWp7urzTKXRN0KBqYDAHZw+RORbBjIJCvOsFaGi/ulQ6sRUOZsxImKermLQ6RKDGSSlbQGuRd36JJVokkXOpJxy95ymUtDpE4MZJKNKIoocQRbY3mZyTKXhi4blgUA2PzfMgQ425qoxzGQSTa1DV7Uu5shCNzDWglG9E+HyaBFlcuDQye4SQhRT2Mgk2xOtLSO7amJ0Ou0MpeGDHotRg0Krkn++r9lMpeGSH0YyCSbkpbJQ7mZnGGtFFK39bZ9DjT7uLc1UU9iIJNspBZyTgYDWSkG59lgNRvQ6PHh2yNVcheHSFUYyCSbEkdwhnUOW8iKodEIuGyoHQC7rYl6GgOZZOHzB1BaFQzkXLaQFUXqtt59qAqNTc0yl4ZIPRjIJIuyqkb4AyISjDqkWoxyF4dayc00Izs9CT5/ANu5cxdRj2EgkyxCE7oykiAIgsylodYEQQi1kr/+jt3WRD2FgUyyKCkPBnI2x48VacwwOwQAB0pqUO5slLs4RKqgiEAOBAJYvnw5xo0bhxEjRuCee+5BSUnJWe+vrq7Go48+isLCQowePRoLFiyA2+1u83q///3vcdVVV2HEiBG49tpr8f777/fEW6FOKi4PHvPXJ4s7dClRqsUUOgHq892nZC4NkTooIpBXrFiB1atX49lnn8WaNWsQCAQwY8YMeL3eDu+fOXMmiouL8dZbb+Hll1/GZ599hvnz54ceX7lyJVauXImHHnoIf/3rX3HHHXdg/vz5WL9+fc+8ITonURRRXMZAVrrxw3sDAL78thQ+P9ckE0Wb7IHs9XqxatUqzJw5ExMmTMDgwYOxbNkylJWV4eOPP253/65du7B161YsXrwYw4YNw5gxY/DMM89gw4YNKC8Pbor/5z//GXfddReuueYa5OXl4Sc/+QluvPFGtpIVoqq2CY0eH7QaAdkZPOVJqS7OT0OK2YC6xmZ8c7BS7uIQxT3ZA3n//v1oaGjAmDFjQtcsFguGDh2Kbdu2tbt/+/btyMjIQH5+fuja6NGjIQgCduzYgUAggMWLF+Omm25q8zyNRgOXyxW9N0KdJnVX52SYodPK/hGks9BpNRh7US8AwL92nZS5NETxT/afhmVlwVmcvXr1anM9MzMz9Fhr5eXl7e41GAywWq0oLS2FRqPBmDFjYLfbQ4+fOnUKH374IcaOHRuFd0BdFRo/tnNCl9JNGJENQQD2FVfjJM9JJooqndwFkCZjGQyGNteNRiNqa9ufOON2u9vdK93v8XjaXa+srMQ999yDtLQ03H///WGVVaeT/feXHqNtablqo9CCPd4yw/qC3ilxW6fRrL+elJWWiJGDMrB9fwX+uesk7rxmSNS/ZrzUnVxYf+GRs/5kD2STyQQgOJYs/R0APB4PEhISOry/o8leHo8HiYltj/A7cuQI7r33Xvj9frz99tuwWCzdLqdGI8BmU994p8XS/t8gHKIohgL5ogEZcV+nka4/OUyZOBDb91fgP9+V4d6bLoY5sf0vxNEQD3UnJ9ZfeOSoP9kDWep+djgcyMvLC113OBwYNGhQu/vtdjs++eSTNte8Xi9qamqQmZkZurZjxw7cf//9yMrKwu9//3tkZWWFVc5AQITLpZ71mFqtBhZLAlwuN/wRnGFbXedBTb0HGkGANUGH6uqGiL22kkSr/uSQbTMhN9OMEkc91v/rIK79Qd+ofr14qjs5sP7CE43662zDQ/ZAHjx4MMxmM7Zs2RIKZJfLhb1796KoqKjd/YWFhVi6dCmKi4vRp08fAMDWrVsBACNHjgQA7NmzBzNmzMDQoUPx2muvhdUybs2nwuPo/P5ARN/34ZaD73ulJUIjCHFfp5GuP7lcOSoHf9i0H//YehwTC3Kg74GhhnipO7mw/sIjR/3JPshgMBhQVFSEpUuX4tNPP8X+/fsxa9Ys2O12TJo0CX6/HxUVFWhqagIADB8+HAUFBZg1axb27NmDzZs3Y968eZg8eTKysrLg8/nw2GOPIS0tDS+88AI8Hg8qKipQUVEBp9Mp87ulI6XBme59e3H9cSy5bKgdVrMBtfVengJFFCWyt5CB4EYfPp8PTz31FJqamlBYWIg333wTer0eJ06cwBVXXIFFixZhypQpEAQBr776KhYsWIDp06fDaDTi6quvxty5cwEEW8fFxcUAgCuvvLLN18nOzsY///nPHn9/dNrRlkDu1ztF5pJQV+h1GkwqzMN7/zqEf2w5jrEX94KGe5ATRZQgiqIodyFigd8fgNMZn+OdHdHpNLDZklBd3RCxbpuAKGLmb75Ao8eH/+9nhehjj99WcjTqT25ujw+PrfgP3B4ffjH5QowanHn+J3VDPNZdT2L9hSca9ZeR0bmfdbJ3WZN6lDsb0ejxQa/TcIeuGJRg1OHKkTkAgA1fHUWAv8sTRRQDmXqM1F3dx57MHbpi1KTRuUgwanGyogE7eFYyUUTxpyL1mCOnWsaPe0Vm1jv1vCSTHj8elQsA2PDlUQQCbCUTRQoDmXpMKJB7M5Bj2aTCXCQadThV2cAZ10QRxECmHtHs86PEEdyhiy3k2JZo0uPaMcE9ANZ9cQTeZr/MJSKKDwxk6hHFZfXwB0RYEvVISzGd/wmkaFeMzEGqxQiny4NPdpyQuzhEcYGBTD3i+xM1AIABOVYIXL8a8wx6LaaM7wcA+Nt/jqGmvv3BLkTUNQxk6hEHS2oAAANyuCFIvLhsmB0X9EpGk9ePNZ8elLs4RDGPgUxRFxBFHDoZ3MN6QK5V3sJQxGgEAXdcNRiCAGzd58B3R6vkLhJRTGMgU9SdqmxAQ5MPRr0WeVlmuYtDEdTHnowrWjYLeffj79Hs4wQvou5iIFPUHWw54alfbwu0Gn7k4s1N4/rBajbAUe3Gh18Xy10copjFn44UdRw/jm8JRh2mXjkQALBpczHKnOo5N5wokhjIFFWiKOKgNMOa48dxa9SgDFzYLxU+v4g/bNrHHbyIuoGBTFFVUeNGlcsDrUZAPnfoiluCIGDapEEwGrQ4eKIWH207LneRiGIOA5miam9xNYDg+LHJoIjjtylKMqwJmHrFAADAus+PhHZmI6LOYSBTVO07FgzkIX1sMpeEesK4i3thRP90+PwifrdxL5p5Hi9RpzGQKWoCooh9LS3koX1TZS4N9QRBEDD9fwbDnKDHiYp6rP/yiNxFIooZDGSKmhOOetS7m2HUa3nCk4qkJBkw/erBAIB/bD6OA8erZS4RUWxgIFPUSK3jgblW6LT8qKnJyEEZ+OFFdogA3ti4F/XuZrmLRKR4/ClJUbOX48eqdvuPByIrNRHVdR6s+nAfRJFLoYjOhYFMUeFp9mN/S1flsAs4fqxGJoMOP79hGHRaAd8cqsSnPKaR6JwYyBQV+4ur0ewLINViRE5GktzFIZn0sSfjfy/vDwB471+HUFxWJ3OJiJSLgUxRsedw8OSf4fnpPP9Y5a4YmRNaCvX6hu/Q5PXJXSQiRWIgU8SJoojdhysBABfnp8lcGpKbIAi469ohsCUbUV7txp8+/l7uIhEpEgOZIu5ERQOcLg8MOg0ndBEAwJygx73XD4UgAF99V4b/fFcqd5GIFIeBTBG3p6V1PKSPDQa9VubSkFIMyrPhxh9eAAB456PveSoU0RkYyBRxOw5UAACG90+XuSSkNNf9oC8G5Vrhafbj9Q3fcWtNolYYyBRRjho3jpXVQRCAgoEZcheHFEajEXDP9UNhTtDjeHk9/vLvw3IXiUgxGMgUUdv3OwAAg/NssCQZZC4NKVGqxYS7rh0CAPh/20vwzcFKmUtEpAwMZIqobfuCgVw4JFPmkpCSjeifjitH5QAAVm3aB6erSeYSEcmPgUwRU17diOLyOmgEgd3VdF63TuiPvCwz6t3N+N3GvQgEuLUmqRsDmSJm695yAMDgPlZYEtldTeem12lw/40XwmjQ4kBJDf72n2NyF4lIVgxkioiAKOLLb4NrS8cMs8tcGooVWamJmDZpIABgw1dHeVQjqRoDmSLi++M1qKhpgsmgxahBHD+mzvvBhb3wgwvtEMXgUY11jV65i0QkCwYyRcQXe04BAC4dmgWjgZuBUNcUTRqILFsCqus8+P3f9vKoRlIlBjKFrbHJh+0tm4GMvbiXzKWhWGQy6PDzGy+ETitg1/eVWMf1yaRCDGQK21fflqLZF0Dv9CT062WRuzgUo/rYkzH1igEAgD9u2ov9xRxPJnVhIFNY/IEA/t/2EgDAlSNzeNQihWXCJdn4wYV2BAIifrvuW9TWe+QuElGPYSBTWHZ9X4nK2iaYE/QYcyFnV1N4BEHAndcMQZ49GbX1Xry+4b/wB7jfNakDA5nC8tG24wCAyy/JhpEnO1EEGA1azJ1eCFPL+uS1/z4id5GIegQDmbptX3E1Dp90QacVMLEgW+7iUBzJyUzGjOuHAgD+sfU4vvqW5ydT/GMgU7eIoogPPgvOhP3RiGykmI0yl4jizeghWbjuB30BAH/8x358X1Ija3mIoo2BTN2y+1AVDp9ywaDT4LoxfeQuDsWpyeMuwMhBGfD5Rbyydg9OVtTLXSSiqGEgU5f5AwGs/TzYOr5yVC5bxxQ1GkHAjOuGIj/bgoYmH156bzcqa9xyF4soKhjI1GX/b9sJnKxoQJJJh6svzZO7OBTnjHotHrplOHqlJaK6zoPFq3ehgqFMcYiBTF1SVduEDV8eBQDcenl/mBP0MpeI1MCcoMdjt12CrNREVLmasHj1TpysbJC7WEQRxUCmThNFEe98fACeZj8G5KRwm0zqUbZkI37100tgT02E0+XB8+/swN5jTrmLRRQxDGTqtP+3rQR7DldBp9XgjqsGQcNduaiHWc1GzC0qQP+cFLg9Prz4f99gw5dHuXkIxQUGMnXK0VIX3m/Z8P+2K/ojO8Msc4lIrZITDZh92wj8sOXIxg1fHsXz7+zEkVMuuYtGFBYGMp1XZa0by/+yB/6AiJGDMnD5JdwEhOSl12lx93VDcc/1Q2EyaHG01IXn3t6O3677FodO1vL4RopJOrkLQMpW1+jFsvd2o7bBi5wMM+78nyE8QIIUY8wwO4b0sWHtvw/jq+/KsONABXYcqIA9NREjB2VgUJ4VF/SyIMnEyYekfILIXyU7xe8PwOlUz6xOnU4DUavFkyu+xImKBtiSjXjqjlGwJXPNcWfodBrYbEmorm6Az8fxza7obt2dqKjHx1tLsHlvOXz+ts9LMumQnpKAdKsJqckmWM0GWJIMsJqNSDEbYEs2xk1o87MXnmjUX0ZGcqfuYyB3ktoCuaLWjd+8vwellQ1IMRvw2G2XIDs9Se5ixQz+UOy+cOvO7fFh9+FKfHu4CgdP1KKytqlTz7MlG5GTYUZuphkX9LJgaF8bEoyx14nIz1545Azk2Pu0UdTtOliB323ciyavH+kpJjw29RJkWhPkLhZRpyQYdbhsqB2XDQ0eB9rk9aGypgkVtW5U1jShpt6DmnovXA0e1DR4UVvvRb27GdV1HlTXefDtkSoAgFYjoH92Ci7KT8PIQRnIsiXK+bZIBRjIFOL2+PB//zyIz3cHT9YZ1i8N990wFOY46cojdTIZdMjJNCMn8+wrA9weH05WNKCkoh4l5XXYV1yN8mo3DpTU4EBJDf7y78PIz7bgB8PsKBySxQ1xKCoYyARRFLH5v+V4/9+HUFPvhQDgqkvzcN/Nw1HncrPbi+JeglGH/jkp6J+TErrmqG7Ed0ed+OZgJf57zInDJ104fNKF1Z8cxMX5afjBhXZcnJ8GvY7ngFNkMJBVLCCK2PV9BTb+5xiOlwdP0cmwmnDXNUMwrF8adFquiiP1yrQlYqItERMLclBb78GWveX4z3dlOO6ox66Dldh1sBIJRi0KBmTg0qFZGNzHxu8ZCgsDWYV8/gC273fgw6+LQ/sBG/VaXPeDPphUmMvf+InOkGI2YtLoPEwanYcTFfX4+rsybNlXDqfLg6++K8NX35XBZNBicJ4NQ/raMKSPDfbURAY0dQkDWUUqatz4fPcpfLGnFK4GLwAgwajFFSNzMakwl+NiRJ2Qk2HGrZf3x80T8nHoRC227C3Htv0O1Lub8c2hSnxzqBJAcFJYujUBvVITkWoxwmTQwWjQwqjXQiMAbZa3iG3+AFoWv0j/LQgCrGYD0lJMSLeYYEkyxNR+AAFRRG29Fw3uZnia/fA2+9HsD8Bk0CHRpEOSSQ9zgh56nbp/gWEgx7nGJh92fl+BLXvLsPdYdegb3JJkwBUF2bhiZA4SOWmLqMs0goCBuVYMzLXi9kkDUVJej73HnNh7zImDJ2vhbQ6g3NmIcmdjxL+2Ua9FbqYZfbKSkZcVXKbVOz0JGo38IV3vbsaRU7U4fNKFEkc9HDVuVNS40XyeuSgCgHSrCb3SktA7LQl5WWb0z05BWooppn75CIfs65ADgQBeffVVvP/++6irq0NhYSHmzZuH3NzcDu+vrq7Gc889h88//xyCIODaa6/F448/joSE08ty/v73v+OVV17BiRMn0K9fP/zqV7/CmDFjwipnLK1Drnc349vDVdjxfQX2HK6Ez3/6n3hYXxt+NCIbIwakn7M7jWsZw8P66754qLuAKKKmzoNSZyPKqhpR2+CBxxuAp9mHJq9fagDjzJyRgkcI/V/wD39ARHWdB5W1Taip86CjH9pGgxYX2JMxIMeKiwdlIivFGPUVEv5AACccDThyqhaHTrpw5FQtyqs7PqtaIwgwJ+hg0Ad7CXRaDZq8PjQ0+dDY5EPgLFFkNRvQP8eK/tkpGJCTgtxMc1SHAlS9Mcirr76Kd999Fy+88ALsdjuWLFmCEydOYOPGjTAYDO3unzZtGtxuNxYsWACXy4Unn3wShYWFWLx4MQBg8+bNmDFjBh5//HH88Ic/xF/+8he8++67WL9+PfLz87tdTiUHss8fwLHSOhwoqcbuw1U4fLIWrf9Ve6cn4dIhmbh0aBYyO7mWMh5+KMqJ9dd9rLtz8/mDLe/j5fUoLq/D8fI6HCurQ5PX3+7e9BQT+vW2oF/vFOT3tiAvK7nb3cKBgIgyZyOOl9ehuLwOR0vrcKzMBW9z+38je2oi8rMt6Gu3ICs1AZnWBKRaTGcNUlEU4WpsRmllA0qrGnCqshFHSl04Xl4Hf6BtRBn1WvTrbcGAnBQMzLWiX28LTIbIdfaqNpC9Xi8uu+wyPPbYY/jpT38KAHC5XBg3bhwWLlyI6667rs39u3btwm233YZNmzaFwvXLL7/EjBkz8NlnnyErKwt33303kpOT8Zvf/Cb0vNtuuw0DBw7EM8880+2yKiWQ/YEAyp1unKioR4mjHodP1uLIKRe8Z3xwcjLMGN4/DaOHZCEnI6nLXT78oRge1l/3se66LhAQcaqqAUdOuXC01IVjZXU4XlbXriWt1QjISk1EeooJaSkmpFlMSDBoQ61WQRDgafbB0xxAk9eHalewVV5RG+x27ih8E4w65Pe2oF9vC/KzU3BBL0vE5qN4mv04VurCwRO1OHSyFodO1KLR42tzj0YQkJORhDx7MvpkBf/XKz2x21uhqnanrv3796OhoaFNd7LFYsHQoUOxbdu2doG8fft2ZGRktGnpjh49GoIgYMeOHbj66quxc+dOzJkzp83zLr30Unz88cfRfTNh8AcC8PlEeJr9qHc3o97djIaWP+vdzah0NaGqtgkVNW5U1DS126cXAMwJegzMtWLYBam4uF8a0lJMMrwTIpKDRiMgJ8OMnAwzJo7Mgc2WhFNltThUUoPDp1w4cirYnexqbMapygacquxe48Kg1yAvMzhu3ceejPzeKbCnJUbtbHSjXotBeTYMyrMBCA4FnKpswMETtThYUoODJ2pQ5fLguKMexx31+BKloeeaE/Sh1rnVbAz+L9kIs0kHk1GHRKP0Z7D7XAnj1LIGcllZGQCgV69eba5nZmaGHmutvLy83b0GgwFWqxWlpaVwuVxobGyE3W7v1Ot1hUYjIDU1vL2cXQ1eNPsDgNgye1IUg39qNNDpAJ1Jj6RkE7LO8zoCAK1WA51WA71OgF6nhTbCkzmkz2ZKSgK423nXsf66j3UXHqn+7JnJyMpIxg8LTj/mD4jwB0QEAoGWP0WIYnBSd8tPIwhoGcsWAK0gQKMRoNUK0Go0Ef850x3paWZcPOj0T8lAQESzPwCfPwCfX4TPH0Ag0LUPTgDSuL2AZjG4KYwAAQlJxh7dz1zWQHa7g4P/Z44VG41G1NbWdnh/R+PKRqMRHo8HTU1NZ309j8cTVlkFIfihDIfNEnutVo1G3csQwsX66z7WXXg6qj9tHG4xoNUCen18vDFZP/EmUzCgvF5vm+sej6fNrOnW9595r3R/YmIijEZjl16PiIhIKWQNZKn72eFwtLnucDiQldW+49Zut7e71+v1oqamBpmZmbBarUhMTOz06xERESmFrIE8ePBgmM1mbNmyJXTN5XJh7969KCwsbHd/YWEhysrKUFxcHLq2detWAMDIkSMhCAIKCgpC1yRbtmzBqFGjovQuiIiIwifrGLLBYEBRURGWLl2K1NRUZGdnY8mSJbDb7Zg0aRL8fj+cTieSk5NhMpkwfPhwFBQUYNasWZg/fz4aGxsxb948TJ48OdQCvvPOO3Hvvfdi6NChGD9+PNauXYt9+/Zh4cKFcr5VIiKic5J9YxC/34+XXnoJH3zwAZqamkI7deXk5ODEiRO44oorsGjRIkyZMgUAUFVVhQULFuCLL76A0WjE1Vdfjblz54bGjwFg/fr1WLFiBcrKytC/f3/Mnj077J26iIiIokn2QCYiIiKZx5CJiIgoiIFMRESkAAxkIiIiBWAgExERKQADmYiISAEYyERERArAQKazmjdvXrujLAHg66+/xpQpUzB8+HBcffXV+PDDD2UonTIFAgEsX74c48aNw4gRI3DPPfegpKRE7mIp3sqVKzFt2rQ21/bt24eioiKMGDECEydOxNtvvy1T6ZSppqYG8+bNw/jx41FQUICpU6di+/btocf5fXpuVVVVmD17Ni677DJccskluPfee3H48OHQ43J8/hjI1E4gEMBLL72E//u//2v32OHDh3Hfffdh3Lhx+OCDD3Drrbfi8ccfx9dffy1DSZVnxYoVWL16NZ599lmsWbMGgUAAM2bM6PBQFAr605/+hN/85jdtrlVXV+POO+9EXl4e1q5diwceeABLly7F2rVr5SmkAj3yyCPYtWsXXnrpJaxduxZDhgzB3XffjSNHjvD7tBMeeOABFBcX44033sBf/vIXmEwm/OxnP4Pb7Zbv8ycStXLo0CHxJz/5iXjZZZeJEyZMEH/1q1+1efzpp58Wb7nlljbXHnnkEfGuu+7qyWIqksfjES+55BLxT3/6U+habW2tePHFF4sbN26UsWTKVFZWJt53333iiBEjxKuvvlosKioKPfb666+LY8eOFZubm0PXXnzxRXHSpElyFFVxjh07Jg4cOFDcvn176FogEBCvvPJK8Te/+Q2/T8+jpqZGfOSRR8QDBw6Eru3bt08cOHCguHv3btk+f2whUxubN29Gfn4+/va3vyEnJ6fd49u3b2+3Delll12GHTt2QFT5pm/79+9HQ0NDm/qxWCwYOnQotm3bJmPJlOm///0v9Ho9/vrXv2L48OFtHtu+fTtGjx4Nne70dvuXXXYZjh07hsrKyp4uquLYbDa88cYbuOiii0LXBEGAIAhwuVz8Pj2PlJQUvPjiixg4cCAAwOl04q233oLdbkf//v1l+/zJergEKc/tt99+zsfLyspgt9vbXMvMzAx186SmpkazeIpWVlYG4PSxopLMzMzQY3TaxIkTMXHixA4fKysrC/2wlGRmZgIASktLkZ6eHvXyKZnFYsGPfvSjNtc++ugjFBcX44knnsC6dev4fdpJTz/9NN577z0YDAa89tprSExMlO3zx0BWEemwjrP5+uuvz/uN2tTUBIPB0Oaa9N9qHyd1u90A0K5+jEYjamtr5ShSzOrocyYdIOPxeOQokqLt3LkTc+fOxaRJkzBhwgR+n3bB9OnT8ZOf/AR/+tOf8MADD2D16tWyff4YyCqSlZWFTZs2nfXxlJSU876G0Whs9w0t/XdCQkJ4BYxxJpMJQLA+pL8DwW9gtddNV5lMpnafM+kHYWJiohxFUqxPPvkEjz32GAoKCrB06VIA/D7tiv79+wMAFi5ciN27d+Pdd9+V7fPHQFYRvV6P/Pz8sF6jV69ecDgcba45HA4kJiYiOTk5rNeOdVJXtcPhQF5eXui6w+HAoEGD5CpWTLLb7R1+zgCEzj4n4N1338XChQtx9dVXY/HixaFWHb9Pz83pdOLrr7/GVVddFRon1mg06N+/PxwOh2yfP07qoi4ZNWoUtm7d2uba5s2bUVBQAI1G3R+nwYMHw2w2Y8uWLaFrLpcLe/fuRWFhoYwliz2FhYXYsWMH/H5/6NrmzZtxwQUXIC0tTcaSKYe0vO7222/HSy+91KaLld+n51ZZWYlHHnmkzTKw5uZm7N27F/n5+bJ9/vgvQ10ybdo07NmzB0uXLsXhw4exatUq/OMf/8CMGTPkLprsDAYDioqKsHTpUnz66afYv38/Zs2aBbvdjkmTJsldvJhy8803o76+Hk8++SQOHTqEDz74AG+99Rbuu+8+uYumCEePHsXzzz+PH//4x7jvvvtQWVmJiooKVFRUoK6ujt+n5zFw4ECMHz8ezz33HLZt24bvv/8ec+bMgcvlws9+9jPZPn+CyDnwdBbTpk1DdnY2XnjhhTbXP//8cyxZsgTHjh1DTk4OHnzwQVxzzTUylVJZ/H4/XnrpJXzwwQdoampCYWEh5s2b1+ESMjptzpw5OHnyJN55553QtT179mDhwoXYu3cvMjIycNddd6GoqEjGUirH66+/jmXLlnX42E033YQXXniB36fnUVdXhxdffBGffPIJ6urqMGrUKMyZMwcDBgwAIM/nj4FMRESkAOyyJiIiUgAGMhERkQIwkImIiBSAgUxERKQADGQiIiIFYCATEREpAAOZiIhIARjIRERECsBAJqJuGTRoEF555RW5i0EUN7hTFxF1yzfffAO73Q673S53UYjiAgOZiIhIAXgeMpHKTZw4Eddffz3cbjfWrVsHjUaDH/3oR3jiiSdgtVoxZ84clJaWom/fvti4cSPsdjs2btyIoUOH4pe//CUefPBBAMHzYl988UV8/vnnaGpqwrBhw/Doo4/ikksuAQAEAgH8/ve/x/vvv4/S0lJkZ2ejqKgI06ZNk/PtEykGA5mIsHr1avTp0weLFi2C0+nEiy++iOLiYqxZswYAsH37dhiNRvz2t79FY2MjtFptm+c3NDRg6tSp8Pv9mD17NrKysrBq1SrcddddWLduHfr27Yv58+fjgw8+wH333YdLLrkE27Ztw/PPPw+Xy4UHHnhAjrdNpCgMZCKCRqPBH/7wByQnJwMAUlNT8cADD+CLL74AAPh8PjzzzDNnHS9et24dTp48iXXr1mHIkCEAgIKCAkyePBnbtm2DKIp477338Mgjj+Dee+8FAIwdOxaCIGDlypX46U9/CpvN1gPvlEi5OMuaiDBx4sRQGEv/rdPpsG3bNgCA1Wo95+StHTt2ICcnJxTGAJCQkICPPvoIt956KzZv3gxRFDFx4kT4fL7Q/yZOnAiPx4MdO3ZE780RxQi2kIkIWVlZbf5bo9HAZrOhtrYWAJCUlHTO59fU1CAtLe2cjwPAtdde2+Hj5eXlXSgtUXxiIBMRqqur2/y33+9HdXU1UlNTUVZWdt7nJycn48SJE+2u79y5EykpKbBYLACAP/7xjx2Ge+/evbtZcqL4wS5rIsLnn38Or9cb+u9PP/0UPp8PY8aM6dTzR40ahZKSEhw8eDB0zePx4MEHH8Rf/vIXjBo1CkAw+C+66KLQ/5xOJ15++eVQC5pIzdhCJiKUlpbi/vvvxx133IHS0lK89NJLGDduHC699FKsW7fuvM+fMmUK3nnnHdx///2YOXMmbDYb3n77bTQ3N+OnP/0pcnNzccMNN+Dpp5/GyZMnceGFF+Lo0aNYtmwZcnJy0Ldv3+i/SSKFYyATEa699lpYLBY8/PDDSExMxE033YRZs2Z1+vlmsxnvvvsufv3rX+PZZ59FIBDAiBEj8PbbbyM3NxcAsGjRIqxcuRJr1qxBWVkZ0tLScM011+Dhhx9ut4yKSI24UxeRyk2cOBGjR4/GCy+8IHdRiFSNY8hEREQKwEAmIiJSAHZZExERKQBbyERERArAQCYiIlIABjIREZECMJCJiIgUgIFMRESkAAxkIiIiBWAgExERKQADmYiISAEYyERERArw/wO76R3P9nAqUQAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot the residuals\n",
        "sns.displot(residuals, kind='kde')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        },
        "id": "3YOYZohZBGcx",
        "outputId": "527ff8f7-1308-488a-c098-166444452ae8"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1170x827 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot a Scatter plot for prediction and Residuals\n",
        "plt.scatter(reg_pred, residuals)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IYoBysvODATo"
      },
      "source": [
        "Evaluating the Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uaOSwbhwBkCe",
        "outputId": "5a7bd744-11b8-454c-a89b-5dc5e2836912"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mean Squared error :  4.6386899261728205\n",
            "Mean Absolute error:  3.1627098714574053\n"
          ]
        }
      ],
      "source": [
        "# mean squared error \n",
        "# mean absolute error\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.metrics import mean_absolute_error \n",
        "\n",
        "print('Mean Squared error : ', np.sqrt(mean_squared_error(y_test, reg_pred)))\n",
        "print('Mean Absolute error: ', mean_absolute_error(y_test, reg_pred))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TaXKApnCHS_J",
        "outputId": "b279f081-ed3b-42f0-9cfa-a04f2815fbfd"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0.7112260057484934\n"
          ]
        }
      ],
      "source": [
        "# R squared value \n",
        "from sklearn.metrics import r2_score\n",
        "score = r2_score(y_test, reg_pred)\n",
        "print(score)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KMJOA_GhbX6O"
      },
      "source": [
        "**Pickling the model**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "id": "EOUAYZjZa_k_"
      },
      "outputs": [],
      "source": [
        "import pickle"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 41,
      "metadata": {
        "id": "wKAwh69Rbzw3"
      },
      "outputs": [],
      "source": [
        "pickle.dump(regressor,open('boston_house.pkl','wb'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "id": "u5ZHq6IXcwx_"
      },
      "outputs": [],
      "source": [
        "pickled_model = pickle.load(open('boston_house.pkl','rb'))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 182,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hhs65Uq9dJaj",
        "outputId": "11252d05-c0ce-49c4-ca33-abf875c38c47"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but StandardScaler was fitted with feature names\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "array([30.08649576])"
            ]
          },
          "execution_count": 182,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#prediction \n",
        "pickled_model.predict(scaler.transform(boston.data[0].reshape(1,-1)))"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "MyEnvironment",
      "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": "3.10.7"
    },
    "vscode": {
      "interpreter": {
        "hash": "9807077dd2cc5623bba9adac44a04cfccb4c6b7ebc6604dc786e617cad603701"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}