Linear Regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "b=pd.read_csv('Boston.ns.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</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>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>501</td>\n",
       "      <td>502</td>\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</td>\n",
       "      <td>21.0</td>\n",
       "      <td>391.99</td>\n",
       "      <td>9.67</td>\n",
       "      <td>22.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>502</td>\n",
       "      <td>503</td>\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</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.08</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>503</td>\n",
       "      <td>504</td>\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</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.64</td>\n",
       "      <td>23.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>504</td>\n",
       "      <td>505</td>\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</td>\n",
       "      <td>21.0</td>\n",
       "      <td>393.45</td>\n",
       "      <td>6.48</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>505</td>\n",
       "      <td>506</td>\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</td>\n",
       "      <td>21.0</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.88</td>\n",
       "      <td>11.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>506 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0     crim    zn  indus  chas    nox     rm   age     dis  rad  \\\n",
       "0             1  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1   \n",
       "1             2  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2   \n",
       "2             3  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2   \n",
       "3             4  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3   \n",
       "4             5  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3   \n",
       "..          ...      ...   ...    ...   ...    ...    ...   ...     ...  ...   \n",
       "501         502  0.06263   0.0  11.93     0  0.573  6.593  69.1  2.4786    1   \n",
       "502         503  0.04527   0.0  11.93     0  0.573  6.120  76.7  2.2875    1   \n",
       "503         504  0.06076   0.0  11.93     0  0.573  6.976  91.0  2.1675    1   \n",
       "504         505  0.10959   0.0  11.93     0  0.573  6.794  89.3  2.3889    1   \n",
       "505         506  0.04741   0.0  11.93     0  0.573  6.030  80.8  2.5050    1   \n",
       "\n",
       "     tax  ptratio   black  lstat  medv  \n",
       "0    296     15.3  396.90   4.98  24.0  \n",
       "1    242     17.8  396.90   9.14  21.6  \n",
       "2    242     17.8  392.83   4.03  34.7  \n",
       "3    222     18.7  394.63   2.94  33.4  \n",
       "4    222     18.7  396.90   5.33  36.2  \n",
       "..   ...      ...     ...    ...   ...  \n",
       "501  273     21.0  391.99   9.67  22.4  \n",
       "502  273     21.0  396.90   9.08  20.6  \n",
       "503  273     21.0  396.90   5.64  23.9  \n",
       "504  273     21.0  393.45   6.48  22.0  \n",
       "505  273     21.0  396.90   7.88  11.9  \n",
       "\n",
       "[506 rows x 15 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston=pd.DataFrame(b)\n",
    "boston"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</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>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</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",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>mean</td>\n",
       "      <td>253.500000</td>\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",
       "      <td>std</td>\n",
       "      <td>146.213884</td>\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",
       "      <td>min</td>\n",
       "      <td>1.000000</td>\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",
       "      <td>25%</td>\n",
       "      <td>127.250000</td>\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",
       "      <td>50%</td>\n",
       "      <td>253.500000</td>\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",
       "      <td>75%</td>\n",
       "      <td>379.750000</td>\n",
       "      <td>3.677082</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",
       "      <td>max</td>\n",
       "      <td>506.000000</td>\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": [
       "       Unnamed: 0        crim          zn       indus        chas         nox  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean   253.500000    3.613524   11.363636   11.136779    0.069170    0.554695   \n",
       "std    146.213884    8.601545   23.322453    6.860353    0.253994    0.115878   \n",
       "min      1.000000    0.006320    0.000000    0.460000    0.000000    0.385000   \n",
       "25%    127.250000    0.082045    0.000000    5.190000    0.000000    0.449000   \n",
       "50%    253.500000    0.256510    0.000000    9.690000    0.000000    0.538000   \n",
       "75%    379.750000    3.677082   12.500000   18.100000    0.000000    0.624000   \n",
       "max    506.000000   88.976200  100.000000   27.740000    1.000000    0.871000   \n",
       "\n",
       "               rm         age         dis         rad         tax     ptratio  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean     6.284634   68.574901    3.795043    9.549407  408.237154   18.455534   \n",
       "std      0.702617   28.148861    2.105710    8.707259  168.537116    2.164946   \n",
       "min      3.561000    2.900000    1.129600    1.000000  187.000000   12.600000   \n",
       "25%      5.885500   45.025000    2.100175    4.000000  279.000000   17.400000   \n",
       "50%      6.208500   77.500000    3.207450    5.000000  330.000000   19.050000   \n",
       "75%      6.623500   94.075000    5.188425   24.000000  666.000000   20.200000   \n",
       "max      8.780000  100.000000   12.126500   24.000000  711.000000   22.000000   \n",
       "\n",
       "            black       lstat        medv  \n",
       "count  506.000000  506.000000  506.000000  \n",
       "mean   356.674032   12.653063   22.532806  \n",
       "std     91.294864    7.141062    9.197104  \n",
       "min      0.320000    1.730000    5.000000  \n",
       "25%    375.377500    6.950000   17.025000  \n",
       "50%    391.440000   11.360000   21.200000  \n",
       "75%    396.225000   16.955000   25.000000  \n",
       "max    396.900000   37.970000   50.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0    0\n",
       "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",
       "black         0\n",
       "lstat         0\n",
       "medv          0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boston.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(boston['medv'],bins=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f552168388>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "correlation_matrix=boston.corr().round(2)\n",
    "sns.heatmap(data=correlation_matrix,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'boston' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-7195dcd3e4be>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mfeatures\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'lstat'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'rm'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mtarget\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mboston\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'medv'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'boston' is not defined"
     ]
    }
   ],
   "source": [
    "features=['lstat','rm']\n",
    "target=boston['medv']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uYsgjQl+fUe559PlQQtB+i7S9AIaRLmnk13vV1fHSDe1MTtVLs/GzFIq/U+BkfKLGyOe/zeSUd6BmuotVj+0FMIz0SCsbZmxkmE0bVnDeUJUXJ6d8dUM7ZTH2SqH4gwIn4xM1Nu06NLuhK2nyWm/bMMpAWtkw7SUaouB10ylaMkgpgrtBgZN12x/2DexGYdAZQJF5vkar1W8Y6bFpwwpPH3/U6649QHzi1OnIPn6X9ptOe8zATQYBchsPKLTi7xTtH5+ohY7eB1F1KvzRVY2Ifl6i8obRDySRDeOlmOPiddMJikPkVT8UVvF3usu6r8dluOn7axe0vJ5IwygrYyPDXV13fuVcoiKCZzZR3nblhqGwir/TXbabk7140LFmLYZREpJSwAt8qv0Wrd8uFDi42+ku283JLsDWBsMwQpKUAvYrqpa3XblhKKzi7xTt7+ZkvxaQ2lW06L1h9Dteijlu7TUvg7KIvboL6+rpFO33ej0sfjeNIkbvDaPf8QoQX75yKTu/93zkjD8/3dBtHKLXFNbib7/LLh50OGvBALfsPMi67Q8DzL4OUGnWV1086DBUdRAaW7Db3XZBXXHS7tJjGEY6jI0Ms2/zep7efgX7Nq/ntrGLuO7vnz+n7PKgM8BZC/xVolCent2FtfjhzF3WzxK/ZNk5/L/XTgIwo8qihRUmT9Q5b6jKR1efy/0HXmCm/YYfsAYsYvTeMIwG7YUYXztRn7N5qz6ts4UZvXBfqU1OsWnXIaC4K/1CK34XP0t834+PzT5W4I1TZ24MXgXbYG4Apz13uIjRe8Mw/FuzthKk9OcdO61se+BwYRV/YV09rSRtcbsrBnc7t/v48pVLCxe9NwwjuVz+VtIqA9MLSqH4k7a4KyKeK4i9Tx0tXPTeMPoJv6w7c8fOpRSunm4yeNoR/Kt1vjg5VbjovWH0C36xvv3PHmNApKsqvF6EKeWcV0ph8bsZPkmciICgvvnyDSPH+MX67n7kucSVvjMgbL1yVaJj9pJSWPwuvzg90/UYdZ8hBMyXbxg5xs+dE6Ty27vqBSHNg8tQoLEUFj+EC95UnfhfVylu6pZh9ANxVuRhlb5TEc45u7iunXZKo/jDBG+m/Mz5EAybm8cwcs2mDStwfAqpdcNZCwaoTyuTU/U5WX5F3sRVGsWfpv/dUjYNoyC06f0w94GhqjMvTbsVLxdy0Xfsl0bxexViioszICwedCKlbFrxNsPIlh17jsyrvTOjsLASrP0/uvpcbm82WopCkVNESxPcbS3E1E2HnYoIO65d3XWHn7DF2zp1ETMMIxx+ivhUh0Js9zz6PHc/8hyViCmfRc7yK43FD2cKMS0ejBeEqToV/vjj0ZQ+xC/e1t7wuQy+Q8PIiriKeFoVxX//jhdFz/IrleJ32bJxFU6H5R00snw67cIN48KJW7zNqn0aRnJs2rAidp39qNywdlmhV+apuXpE5GzgO8BZzc/ZpapbRORC4OvAEuAx4JOqeirJz3ZPyM07DwYed/tVF88e67pcbt55cHbJt3jQ4fWTp2eLN/m5cOIWb7Nqn8UkS9k2/BkbGe54zYel6lQ42xnwrMezeNDhtrHoMYE8kabF/wtgvaquBtYAHxaRtcAXgDtU9Z3AceBTaXz42Mhwx528rUp/065Ds8rbXfIdP1GfV7HPyyL3CyyfOHU60G3TqYuYkVsylW3Dn2726rQyVZ9GFc+ijFs2FnfHrktqil8bvN586DT/KbAe2NV8/i5gLOnPdt0zkwEtFFvjANseOBypE0+7Re5XMuL4iTqfvf8JPjf+hKe7qIi9Oo1sZbsfCZsxNz5R62qvTjuvTdVLW5QxlKtHRL4E7FTV/xVlcBGpAAeAXwH+A/BjYFJVTzcPeQHw/BVF5CbgJoBly5aF/sz2DBs/jp+os277w2zasCJyeVUvi3xsZJgde47Mu9m4tUJamzi0u4ssqyc7Pv3pTwMsivq+uLIdV677lSgZc9seOJzoZ583VC1tUcawPv7HgM+JyN8D/pLGTWB/pzep6jSwRkSGmu97l9dhPu+9E7gTYHR0NLQ5HqXudqsQhSXIIg9bK8R1F7lCVUbBKgqXXHIJwLki8iN6INtx5bpfCUqAaL1uPjf+RKL18cu+8g7l6lHVu1T1I8BlwP8FviAiPwz7Iao6CfwtsBYYEhH3hvM24MVIM+5A1MDoVH06dCbAUNUJXOpF8c1bADcf3HjjjQA/ogCy3Y+ESYAYn6hxt09HvTh0us7LQFQf/68AK4HlwFNBB4rI0qY1hIhUgQ8BTwJ7gWuah90IfDPiHAJJs1DTorMa17Sfv9HLZ+93U7EAbu7IvWz3I50SIMYnatx676HQ13AYRMpfkDGU4hcR1wr6PHAYuFRVN3Z427nAXhF5HPge8Deq+lfAZ4B/2Vxa/zLwldiz9+DylUtTy+WtTU5xy86Dvhuu3CBvazDohrXLLICbYz7zmc8AvIcCyHY/EpQA4fr/k661f/xEvfSbKMP6+J8G3qeqPw07sKo+Dox4PP8TGsvqxBmfqHHfgVqid/92gvz1gKfPfvSCJRbAzSkXXnghwFOq+uGw78lCtvuVoASINdu+nXgfXZf2GELZCFT8InJJ88//AywTkTlpCKr6WFoTi0MaDZXD0O6H9Kq/s2/z+p7Py/DnsccaonvZZZcBLGyRdSB/sl0G4tal8jKmxidqgena3VL2GFwni/+Pm/+fDYwCh2i4rS8GHgXen97UopPVyWr1Q3ZTsM3oHbfeeisAJ0+ehIZv/05yLNtFJ+nrIu2yJmWPwQX6+FX1clW9HHgWuERVR1X1UhrL3B/1YoJRyOpkXb5y6ezfWdbfsdLQ4dm7dy979+7lggsuAHgyT7JdxvOY9HWRpJHXHhPshxhc2Kyelao6m/Cuqt+nsVU9VyRZk7+VTsHi+w7UZi/OrOrvWKXPeDz11FMAsycna9ku63lM+rrwM/I61d734lffsaSUu3ODCBvcfVJE/gz4Go345idopK/lCq9A0IlTpwM3dgxVHUTwPabqVLj60mHufvQ5/JIHWgO8cQu2xcX1m3p9ptdGF2Mu73rXuzh06NAFIvIBciDbYTcsFY1ur4tWOXeLKLY3SncGhEVnLeBUxI1cz7w61XcxuLAW/+/QSHX7NHAz8IPmc7nDrcn/9PYr2Ld5PVs2rgpcBbzR4cZw9aXDjUp8HVKFXMull/V3Wq3DTvMyvPnzP/9zaFj8uZDtslZs7ea6aJdzN31TObMaH6o6EGDABVH03zYOYXfungT+M7BZVX9LVe9oPpd73Nx6v+YsnYqzPfj4S0Bny8R93SuXP62lY5gsprIHqbrl7LPPBjhKTmS7rBVbu7kuguRcm2MtOmtBpEKL7WN8bjxa6ZaiE7ZI25XADmAhcKGIrAE+r6pXpjm5JDkZs2rf8RN1Rj7/7UBLwqnIHMulU/2dpNotdrJU+iFI1S27d+8GWAV8ixzI9qYNK+YVGez389hJzl9sxkO64WvNkg9Fr7MflrCuni00NqZMAqjqQRpb2wtBt/n9nZaPixYuCK24kwzeBVmB/RKk6pZt27ZBw6efC9nu5Yqxl3Qj951WO+dUnUR269/z6PMJjFIMwgZ3T6vqayK9amyWLGn78F6LsJEkyeCdn3VYBkXRKxYsWAAwDSSfDhaTMlZs7UbuveTcpepUEAlfbyuIpEs/5JmwFv/3ReQfARUReaeIfBmIVJs/S9L2jyZRlTPOzams1mEvec973gONVomFlO2i0I3ct8o5QKVpgLryPplQOeZKQQ3bOIS1+P8F8K9ptJz7b8Ae4N+kNamkCbIYuiWq/zXpdM8yWoe95Mtf/jJf/epXq8CrFFC2i0K3ch8k537pzFG5/r3ndz1GUQhr8b+7+W8BjfINH6NRlbAQtFvGQ1WHwYDenBWR2eOctg0hTkUauf/Es7Ct3WK++MEPfgANmS6kbBeFbtM5121/mOWbH+Qdn/3vLA/RwtSpiK/ff0Bg3TuWzFr4FRE+sXZZ3wR2IbzFfzfwr4DvA8k1tewhrnLe9sDhjsHaBRWh6izgtak6Q4MOqg0//uDCCm+cmp4tDlWbnGLr7sNzxg87D6vWmQ9uuOEGgJ8CV1FQ2S4CceX+c+NPzGld6vrha5NTbNp1iG/sf45HfnJ8jn++IsJlyxdz+MWfzyvkJsA/eu9cJe9m2V24+cG+uR5FQwQ0ROS7qppZ0arR0VHdv79jN7xZvNIlgdjunqpT4ZJl57Dvx8d8j+k3i6EsvP/972ffvn0HVHW0158dVa77gdZr95yqk0oFTnfH7/BQlctXLuW+A7XSJkiIiKdsh1X8HwSuBx6i4ecHQFXvT3KSfkS5QLyarVedCmctGEi1jKsAd1y3pif5+0ZyPPTQQ3zoQx/6KfB79Fi2TfHPpd267wXtZR9choeqpSjj4Kf4w7p6fodG6VqHM8thBXqi+KPglzaWdp1+BW7eeZCtuw8jApMn6nOUu1dZ2k27DrF192Fem6rbjSAjmiUbBoEPk3PZLjNu39xeJ1T6fV7ZyziEVfyrVbUQfoysT1jrqqK15rjXDak+rXPiBVa3v/ccOnQIGmWZb8x6Lv3Mjj1Heq70gyh6iYxOhM3qeURE3p3qTBIibydsqj7NrfceCpVu1qu6/cYZ1q5dC41sHiNDkkjHTIp+yLILa/G/H7hRRJ6m4QcVQFX14tRmFhOvnH0/P16v8Coh60fWK5akyXtc47vf/S7Au0XkCDmX7SIR5byPT9Qyv0ZdBp0B/qgkgd0gwir+0I2os8YrbSwP1oRbQraTcOdtxdINRWhD+a1vfYvly5d/H9iY9VzKQtTz3ms3T9B1OBWzmGPRCKX4VfXZtCeSJK27/MYnatyy82AurIlOc2iv8tmKX4pqnq3pIjQVabZePFUkGc/7KsrvvN967yFu3nlwtpHKcHPuvV7lBl2HCrmSz7QIa/EXlrwFjYKY9qkn7pcRhEJ95syGlrxZ02VtKpIlRVhF+Z1fd5NV6yasz97/BGc7A7mytPtBPsMGdwtLkU7iDHgGd/0yglyl75K34HBZm4pkSdJNy9Mgyvmdqk/H7pXRDUMBpZz7QT5Lr/jPqXp33sortckp1m1/mAtb6pFEuXnl6UZndYmSpwirKK/zHkSvV+RORdh65SpuWLtsnvLvF/ksvaunaJVWhTOpbe5SeGjQCd1LNE/WitUlSp6kq7umQet5z0NiRTtu46SxkWFGL1jSl/JZesWfVK3uXtFu/UzVpzlrwQBVp9Jx93EerRUrG50sRWnN6J73Czc/mLsY2+RUnTXbvt3XO+ZLr/jzks7ZDa9N1bnjujXcvPOg7zHDfSrA/UZWq6i4mUR5vf6KvmO+28yu0iv+TRtW5CadsxMDAjMeEx0adAKDd50KSuU9/c+IRq9XUd1kEqXZBCkp8pZi3IkkMrtKH9wdGxnmhrXLsp5GKLyUfmVAeP3k6UCr6fKVS31fS7K5u9GfdJNJ1N4EKa/tDfMUHO9EEpldpVf8QKHr5M/MzE/bbGfvU0d9XytC+p+Rb7rNJBobGWbf5vU8vf0KZnLa0DxPwfFOJJHZ1ReKH5ht1Fw0uq3vU4T0PyPfRNmP4bZJvLCtPaLL0GD+0qvzGBwPIon9MX2j+KPmFueFMEvjoBNum6iMbgm7H6OTW3F8osbrJ0+nPt+qM8BijxuMeyUtHnS66pudNUnsjyl9cNdlbGSY/c8em9fsoTIgTHdwpWRF1alw9aXD81rDtRJU3weKk/5n5JewmUSdajPt2HOko9uyW5wB4farLmbHniPz9r647RaL3lkricyuvlH80PCFt4tdXpU+NLJ8Ri9YMrvJxDPA22H6tonKSIIwmUR+7kN3N3raaZ1VZ4CznUpgFl9ZXJzdZnalpvhF5HzgvwB/l0YZmjtV9UsisgTYCSwHngE+rqrH05pHK0U76W+cmuaWnQe5Ye0y9m1e73nx1Ge0Yyqan5BYmmc88ijbeSAoZ782OdWDmvvScYe7uTgbpOnjPw3cqqrvAtYCv9vs4rUZeEhV30mjefvmFOcwhyKedAXufuS5wJo9QTc0v2CbpXl2Re5kOw8EpRVDukp/QCjkzvasSE3xq+pLqvpY8++fA08Cw8DHgLuah90FjIYiyqMAABnqSURBVKU1h3a8giJORXAG8plb7KLAtgcO+964BkQ8FXaQcrc0z/jkUbbzQFBacdoEeWyLGsRNk574+EVkOTACPAq8VVVfgsYFJCJv8XnPTcBNAMuWJbMBy8/f3frc0KDDayfq5Kc6eIPjJ+pccfG5noHeaVXPnXtByj3IH3vh5gfN9ROSqLKdhlznhTy6UssQzE2D1BW/iLwJuA+4WVV/JiF37qnqncCdAKOjo4mtEv383a0duzbtOsSMT1OULPnaI88x6Hgv0ry2nQcp9+EAf2zr6gCKVcOkl8SR7bTkOg/ksS6PuXa8STWPX0QcGhfG3ap6f/Ppl0Xk3Obr5wKvpDmHqOzYc4R6DpW+y4mAphXtit7PNSQ0/LGd9jWY68efIsp22uRNyQ5VHTNafEhN8UvD/PkK8KSq/knLS7uBG5t/3wh8M605xCGPy9WwtCv6TRtWeHYZUhr+2NYaKn4U+fdIi6LKdtrkSckKsPXKVVlPI7ekafGvAz4JrBeRg81/HwG2A78uIj8Efr35ODcUrWOXizMwfyPX2MhwYD5zaw0Vv5IWRcyE6gGFlO1e4LVjFnrfEEnJ140ob6SZ1fNdVRVVvVhV1zT//XdVfVVVP6iq72z+fyytOcQhp8UDO+Mz77AK3dokhqeost0LtmxchVOZK4xORfjVty/p6TwELDU5gL6p1ROWonXscqlPq6c/PqxCby+fm7f0t07Fv4z4JPnbjo0Ms+Oa1XPkaMc1q3nm1d66DBUsPhVAX5VsCEMeMxPC4uWPj1Kyodtt4GntBE6i8YThTbe/rd85b3/vLQHd49IiyfhU2Xa5m+JvY9OGFYEtDvOMX8nbXnRsSlM5dyr+ZcSnm982yjl3KsKpHmfLJRWfKqPhYYq/jbGRYbY9cNiz5sfiQYfBhQtyuyLw6nHRraXS/v7LVy5l71NH542XpnK2ngLp0c1vG/ac3/Cn/7vnSt8ZEE6cOp3IZsQyGh6m+D3YsnGVZynjLRtXMTYyzPhELZd9fCen6nMEHeh6Gd/+/q898tzs663jpamc/dxvlnHUPd38tmHP+b4fZxDjFmaNt24t9DIaHhbc9aBToDMoTRKy7fbVuut26+7DXdXj8bJ02nHHS7Phi2UcpUc3v22em/y0b8LsZjNinr9nXEzx++DmuN9x3RqgEZxqzXjwU+5ubZBum0oLvhmaoZiqTzM55Z2hFNZSiXJckALpNmsk7xlHRaab37ZoN+S4FnrRvmcYzNUTQFBQp1Nnq+kum0orsGhhhTdOzbe4u61rHtZSCZvhdN5QNbAAXhKBsV4EqPuVbn7bs52B2XM7VHXYeuWqeWOte8eSxN09QbWm/Ii7ObOMzYxM8QcQFNRxK/61Bz537DmSSFaQgLfSF+8gbliiWCpeN7eg8bwUyLrtD5cuMNaPeAX52yvF/uK0dx2pu//p+3j75gcTq3g7FFOBv3HqNOMTtVhyVzbDwxR/AJ2COq3C0L468GPdO5bwzKtTHa0VP90eR+lXRJhRjWypeFk6flk9fpQxMNZveK1823tXQ/ANPalECGdAeOPUaV83ZhDuJscyKfC4mOIPIErGQ5hAKMAzr05x+cqlc7Jj0mZGlae3XxHrve2WzvhEbbbhxolTp9m6+zC37DzoexOwjJzi4yXbYXratq4SBkS6dn9Cw4U608XSwQyOBhbcDSBKUCdKILTXnYqGBp1EtuS3d/Q6fqLO5FQ9sHVjGQNj/UYUZene0NtlJQmlD8GdtsJgBkcDU/wBRMl4iBIwTcvqGBDmtZF0KsLrJ08n0lu306rGK2XOMnKKT1jZbr2hh10B9xIzOM5grp4O+AV1wgS72hEaireS0LK3nRmFqjPAmxYMzG5eOT2tkXyxQYS5YfnVCzJFX1w2bVjBpl2H5uXGDwDnDDpMnqjPc/XlcXe7xIg0lK1Gj4tZ/DHwamJ+34EaV186HJi/74pdGkrf5Y1T05xs6dIVxhcbljCWny2ly8fYyDCLFs63EWeAwYULeHr7FezbvH6OQux2H0sanKjPRFrtel3ncVfLecMUfwz80jz3PnWUmQhKPa1rI8wSO46C9vLXt+K1lLZyysVnfKIWeTNgmsZNN3S7c70s7UjN1RODoBTFSGWdFb543ZrZpeQ5VSdWmlpU4vo629M7hwYdVOG1qflLffDfALf/2WORUkLdscq45M477jn0w8uAGJ+opebOTIJud66XITPIFH8MglIUw2x6aj3e9X93usC6JUwufxjlGsVf72cxteaAh9nJW8ayuEWhU5D28pVL5zx2z1VelT403J/rtj/c0XgocyqyKf4YBJVraLeKg8TftbrHJ2rceu+h1C6WqlPxzaRxlX1tcmpOKYgoytXvhuFnGUUNNvvdQG6991DH+fXbSiHp79tp9dqempzHbB4vwsh3p7IsRcYUfww61e5otYrXbX/Y8+IZqjpzLP00LaRWv2SQKyZO9k+QNR7F7RW0fA7yIwddvP22Ukj6+45P1DrWhWo/N0Vyg3SS7zLW6HExxR+TsC4PP6th65WrgN5ZSLXJKW7eeZA/uP9x/uiqi32bp7TjdSF32pHpXlBe391PkQQtn4NuIEEXbxkbaASR9PfdsedIxwTI9vMWtXVptwUHu6XTjaqsqciW1ZMynTYw9dpCOlGfYdM3DjE+UQt1gbZXNAy7I/PFySnP737D2mWRd/J2yiaKGoQrklUahaS/b6f3tZ43N3srav7+gow1UBn89XEwi78HBFkNWTR3r89o6JS09pTTsCsUt/+v13cfvWBJpOWz+5pfHCSoUUZZg3NeJP19g2RzuOW8hS1Q6EU9qZKdMRAohb8+DmbxZ0wnazYtwt5sJtt6D4e1HoNCFm6TG6+NP0Hv+eOPr460Wui3OkFJf1+/8b543Zo5560oAd12lHLGesJgFn/GRMkCyoK4PtzXUtiPEDXYVubgnBdJf9+w4xXVdZZli9SsEc1xvq3L6Oio7t+/P+tp9IQ4ftI0ae+qFHZZ77agLAIickBVR3v9uWWR604ym0UAt9NnOgPCjmtXl9YIcPGTbXP15Iyk3RAisLASvzbE5FSdW3Ye5HPjZ9ICWwO2iwedeRVBy+xOMeYT5K7MKmvnhrXLZmV0qOqwaOGZ+Q1Vnb5Q+kGYq8eDXm/6af+8oIulIsLaty8O1cULGr72ysAAX7ymkUkUZ0WhwN2PPMfoBUtmg7Xt+wG8fq9+2zyVB5L+zcPu5t7/7LF5XbmSUvoVEf7446vZ9sDh2aqznbht7KIEPrm8mKunDS9XRtDO1zQ+b0CCG0648wG4ZefBUBeXe/EAbPrGIeoxOlpEcd/0+nfshrK4epL+zaOM142L0hkQEOaVfZ5zTEWYntbQfXu/eN2a3MlZFpirJyS9rsjn9XkzCoPOgG9p29ZNOTesXUYYR07rLtcd166O1bA6ShCvzJUN80rSv3mU8eIGeIeHquy4djU7rlkdGGytR1D6gMlZB0zxt9HrTT9+407VZ/jx7R/xVeru+24bu4g7rlsz688MqoPeesM4uOU3Qt0wWomSD95vm6fyQK82cHk9H2evgMBsWqib4vvM9isiy2XYORpnMMXfRtBmoKQZn6gx4KOo3c8LM5/WvHivXPdWapNTszXxo3ynqAHbXv6ORoOkf/Mo48XZj9Lan7e1Z4O7+a8bBkSs90MApvjb6NWmn6DibK2fF3U+btZNkOW/aVejZEPY7xSnT26/bZ7KA73awOU1Xhi58xrfq8vV6ydP44TIRKsMCOvescRzheC6Nk35e2NZPW30atOP327HisgcJetmTNzz6PNMq1IR4epLgwtHua/5BX7r08rNOw8yPFSl6gww5bNvfqjqcHDLb8x7PmwWz9WXDkduuGLEpxvZDcreiTLeL1UXhMq8cavTjnz+2/Oug/qMNlIwz1oQuKlxZka5+5++z7eseacCdf2cdWaK34NeVOQLKjV8y86Ds9UtAe47UJsV6mlV7jtQm02t9GNsZJibdx4MnENtcirQsvLafRvUVau12bzbh7h9pdDPF1sviCO7QeWc447hMugMUJ/WOVlkbnXa8Yma703itan6rNGxfPODnse4I46NDHOLj6z7XWf9VrK7ndRcPSLyVRF5RUS+3/LcEhH5GxH5YfP/xWl9ft4J8ru2Nnbeuvtw7EyNMFvS69PKgI/u95qjX6bHPY8+33GeZWleXTbZ9junW3cfDn2+/FawixedxY5rV3tWpw2S4VY/f5D7qFO8yu/5fs86S9PH/xfAh9ue2ww8pKrvBB5qPu5LwgTDpurTkZtct39G+65aL2aUQF9ua/DNL1c7qDyzS4kutr+gRLLtJ0uTU3XfzmduINZVvEEZQH5F+YJkuFWcrn/v+b7HubITNb7R71lnqSl+Vf0OcKzt6Y8BdzX/vgsYS+vz80576YOouH1Dg6zlsZFhdly7uuNYrhW2uMXKOqtZKL3dSvfDzyprtbjKcrGVTbajZv1Mq85bAcTJKAp6rdXNGLQLtzY5xfLND3LrvYeYqk/PymGnhIR+zzrrdVbPW1X1JYDm/2/xO1BEbhKR/SKy/+jRo36HFZpWS8jPLbN40PFdGYRxlYyNDAe6fFqtopMtQd7Jqbqvq8lrjOvfe35Hi6vkF1so2c6jXPtZy4tDpFW2dluL02DHz+hpl4lObsvWGFh7/2u/z+7nrLPcpnOq6p2qOqqqo0uXLs16OqnjJ4hbNq6aXRl4EcZV4udWWjzozPG3ei3r/VxNwByf7W1jFwV2Ggv6jv1ysUE+5dqvS9yWjatC5eb7dVvrlALst/PcSyai7BMIc03EmW+Z6HVWz8sicq6qviQi5wKv9Pjzc0uYBu4Xbn7Q093SqS9umNTKqO4Wr7o9nTJK4qSmFohcy3anbKqgcxfUXxnOWOdxMopuG7toTke2oUEHVeZktrWOG7ZvRRh5Lms/3TD0WvHvBm4Etjf//2aPPz/XdBLETq313Iu7Njk1pzKiX2plmLEXDzqcrM/Ma5hem5xi3faHuXzl0tC5+uMTtVipqQUht7LdTepiq0z6FW3rtGLzuunAfCMH8E0VbpWxO65bMyvnfpTEfZgaqVXnFJF7gA8AbwZeBrYA48C9wDLgOeBaVW0Pks2jLA0ruiWoWiJ0rrrZaqW3X4yXr1w6Jw8fGgr+hrXLZi2y9huKF0HVIP0qOHaq+pl27n/U6pxJyXav5Dru7+5Fp3MRRq6cioAyR1adAfGV3XaZqzoVrr50eN64ra97yWA/7iHxk+3ULH5Vvd7npQ+m9ZllJ8gdtGbbtzuWWnaXv14W4H0Halyy7Bz+14+PzV5kCrMW+b7N60OV3m3fLdl6sfnNLmhZnseNNkWT7SSzqdpl0PWlezVdr01OzavRD97ll4Nkt/2Vqfo0e586yu1XXTRrkFSabqhhH4WeRznKEtu5WzD83EFBQVgXd/nrF8h95CfHPS8yV5GHVRR+N5hO8/IiKPe/Hy/YOHRyEUYhSIF6nau0un24AeWwMmByNJfcZvUYydLqiw0qF+GFe3xYRRF0gwmaV9Bnh33emE+S2VRBCrSX5yTqTcvkaC5m8ZeExYOOb92T9uWvnwVYCcjaGJ+o8cYvTnecR5gbDDT8tq1BvXXbH/b0vSZprfYrSRUeHJ+o+br63HG9Xm/30Xv5+P1YtLDCjBI5oNzOkM/10a9yZIq/JGzZuIpNuw7N858OVZ15F/mmDSs8g8ReAbOqU+HylUs9XTaLBx2uuPhcz6wet9eA141k8aDD4MJG5cWtuw/zxqnTs/Nu9736zbWfcv+ToNvURdfF48fQoONpGLhy1S4jcOZGdE7V4Wcn6/PajToV4Q9/66I5x7YbC2H9+6+fnD83pyJ9K0em+EuCK+ztDandHbitx/hZgAAPPv7SrJIdqjpsvXKVr8tmcOECz+30Qb0GnIrw+snTs3P0ik20+l6jWqv9mLkRh6i/U5Dbzj2n7Rb8gJwJxPo1aW+dz9bdh2flYfGgw5aNq+bJrHtsqzHgyplfwHbHniOeq4tFCxf0rWyY4i8R7g7c9iWtVxCr3QL0CsT+4nSjhENU/2hQr4FFCxeECkS3jh3WWrXMjXDE+Z2C3HZ+59TVtWHG7zZQ6+Il635z9yo73i9YcLdkxA1iBQXtotbY8fusGdXQF1sc32uJqn+mSpzfye98DA9VQ53TJM9DJ1luf73kNaJiYYq/ZMQV8qAbRtSsEL/PGhAJld4X14dvmRvhiPM7BclAWAUa1BSltedup/4MnT6v/XWrETUfU/wlI66QB90woha08iuo5Zcu6gwIiwedrotlmWUXjji/U5AMhC2g5jV+nOY8QZ/nJev9XpDNC/Pxl4y4qXudsmei+GDb5+CX3QPzU027wTKAwhH3d/KTgfbzfU7VmZOpFTR+nI1VrZ8XJqsnaO79Smq1epLEavX0hrCZHlEzQvyqigrw9PYrkvsCMeYG0Wv1JEWWcp129lPY8f1kA+bu9TClHY+e1+oxikcYqyhORkgvN2GZZReOtH+nsOP7yQbM7T3tjmkkg/n4jUjEyQix4JrhR9je05aZlSxm8fcxcZb7cTJCvHyyrRezWXLlxE++gpoExangakTHFH+fEnezU1y3jTumbbDqD/zka/+zx+aUBWlvEuRX+tsys5LFXD19StzNTt24bWyDVf/gd67vefT5QBkwt2BvMIu/T4m72ambSo+2wap/iFv6O6lKokYwpvj7lG4ybeJmhFiJ5f4hTulvF8vMSh9z9fQpWSypbRnfP/id6+vfe77JQA4wi79PyWJJbcv4/iHoXI9esMRkIGNs567R9/Tjzl2jP/CTbXP1GIZh9Bmm+A3DMPoMU/yGYRh9hil+wzCMPsMUv2EYRp9RiKweEfk5kMd9/W8Gfpr1JDzI67wgn3O7QFWX9vpDReQo8GxCw+Xxd+0W+07d4ynbRVH8+7NIt+uEzSs6eZ5bkSnj72rfKT3M1WMYhtFnmOI3DMPoM4qi+O/MegI+2Lyik+e5FZky/q72nVKiED5+wzAMIzmKYvEbhmEYCWGK3zAMo8/IveIXkQ+LyBER+ZGIbM5wHl8VkVdE5Pstzy0Rkb8RkR82/1+cwbzOF5G9IvKkiBwWkU/nYW4icraI/B8ROdSc17bm8xeKyKPNee0UkYW9nFdZEZGKiEyIyF9lPZckEJEhEdklIk81Zft9Wc+pG0TkluZ18H0RuUdEzs5yPrlW/CJSAf4D8JvAu4HrReTdGU3nL4APtz23GXhIVd8JPNR83GtOA7eq6ruAtcDvNn+jrOf2C2C9qq4G1gAfFpG1wBeAO5rzOg58qsfzKiufBp7MehIJ8iXgW6q6ElhNgb+biAwDvweMqup7gArw21nOKdeKH7gM+JGq/kRVTwFfBz6WxURU9TvAsbanPwbc1fz7LmCsp5MCVPUlVX2s+ffPaVwgw1nPTRu83nzoNP8psB7YldW8yoiIvA24AvizrOeSBCLyS8CvAV8BUNVTqjqZ7ay6ZgFQFZEFwCDwYpaTybviHwaeb3n8QvO5vPBWVX0JGgoYeEuWkxGR5cAI8Cg5mFvT/XAQeAX4G+DHwKSqnm4ekrfzWVS+CPw+MJP1RBLi7cBR4M+b7qs/E5FFWU8qLqpaA/4d8BzwEvCaqn47yznlXfGLx3OWf+qBiLwJuA+4WVV/lvV8AFR1WlXXAG+jsXp7l9dhvZ1VuRCRjwKvqOqBrOeSIAuAS4D/pKojwBtk40ZNhGZ87WPAhcB5wCIR+USWc8q74n8BOL/l8dvIeInUxssici5A8/9XspiEiDg0lP7dqnp/nuYG0Fym/y2NGMRQc7kL+TufRWQdcKWIPEPDFbpeRL6W7ZS65gXgBVV9tPl4F40bQVH5EPC0qh5V1TpwP/CrWU4o74r/e8A7m5kgC2kERHZnPKdWdgM3Nv++EfhmrycgIkLDF/qkqv5JXuYmIktFZKj5d5WG8D8J7AWuyWpeZUNVP6uqb1PV5TSuj4dVNVNrsltU9f8Bz4vIiuZTHwR+kOGUuuU5YK2IDDav1w+ScbB6QedDskNVT4vIPwf20IiEf1VVD2cxFxG5B/gA8GYReQHYAmwH7hWRT9E4uddmMLV1wCeBJ5r+dIA/yMHczgXuamZmDQD3qupficgPgK+LyG3ABM0AnmG08S+Au5sG30+A38l4PrFR1UdFZBfwGI0svAkyLt1gJRsMwzD6jLy7egzDMIyEMcVvGIbRZ5jiNwzD6DNM8RuGYfQZpvgNwzD6DFP8BUJEXu/w+h+EHCfUcYZhlBNL5ywQIvK6qr4p7utRjzOMPNDc9CSqWpZaRJljFn8BEZFzReQ7InKwWd/7H4jIdhrV/w6KyN3N48ZF5ECzDvhNzefmHWcYeUNEljfr8P9HGhufpkXkC015/h8icpmI/K2I/ERErsx6vkXDLP4C4VrqInIrcLaq/mFzZ+ygqv683ZIXkSWqeqxZMuF7wD9U1VfN4jfyTrPS7E+AX1XVR0REgY+o6l+LyF8Ci2iUon43cFezGKARklyXbDB8+R7w1WZxtnFVPehz3O+JyG81/z4feCfwai8maBgJ8KyqPtL8+xTwrebfTwC/UNW6iDwBLM9ickXGXD0FpNkU5teAGvBfReQftx8jIh+gURjtfc0uWBNApu3eDCMib7T8Xdcz7okZGh3eaPr9zYCNiCn+AiIiF9Cowf6nNIqcuSVr681VAMA5wHFVPSEiK2mURMbjOMMw+gy7UxaTDwCbRKQOvA64Fv+dwOMi8hjwT4B/JiKPA0eAR1reP3ucqt7Qu2kbhpEHLLhrGIbRZ5irxzAMo88wxW8YhtFnmOI3DMPoM0zxG4Zh9Bmm+A3DMPoMU/yGYRh9hil+wzCMPuP/A5Dq/j/pzZDRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i,col in enumerate(features):\n",
    "    plt.subplot(1,len(features), i+1)\n",
    "    x=boston[col]\n",
    "    y=target\n",
    "    plt.scatter(x,y,marker='o')\n",
    "    plt.title(col)\n",
    "    plt.xlabel(col)\n",
    "    plt.ylabel('medv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=pd.DataFrame(np.c_[boston['lstat'],boston['rm']],columns=['lstat','rm'])\n",
    "Y=boston['medv']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(404, 2)\n",
      "(102, 2)\n",
      "(404,)\n",
      "(102,)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,Y_train,Y_test=train_test_split(X,Y,test_size=0.2,random_state=5)\n",
    "print(X_train.shape)\n",
    "print(X_test.shape)\n",
    "print(Y_train.shape)\n",
    "print(Y_test.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error,r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lin_model=LinearRegression()\n",
    "lin_model.fit(X_train,Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model performance for training dataset:\n",
      "RMSE is 5.6371293350711955\n",
      "R2 score is 0.6300745149331701\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_train_predict=lin_model.predict(X_train)\n",
    "rmse=(np.sqrt(mean_squared_error(Y_train,y_train_predict)))\n",
    "r2=r2_score(Y_train,y_train_predict)\n",
    "print('model performance for training dataset:')\n",
    "print('RMSE is {}'.format(rmse))\n",
    "print('R2 score is {}'.format(r2))\n",
    "print(\"\\n\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model performance for testing dataset:\n",
      "RMSE is 5.137400784702912\n",
      "R2 score is 0.6628996975186952\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "y_test_predict=lin_model.predict(X_test)\n",
    "rmse=(np.sqrt(mean_squared_error(Y_test,y_test_predict)))\n",
    "r2=r2_score(Y_test,y_test_predict)\n",
    "print('model performance for testing dataset:')\n",
    "print('RMSE is {}'.format(rmse))\n",
    "print('R2 score is {}'.format(r2))\n",
    "print(\"\\n\")"
   ]
  }
 ],
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