Project_Zillow 3 (Model).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "5d4795cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3c74171e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "from math import sqrt\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
    "from sklearn.ensemble import RandomForestRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "4bb2eaa2",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('Zillow_Final_Dataset.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "9dd4abd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(70260, 21)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "cb8919b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parcelid</th>\n",
       "      <th>bathroomcnt</th>\n",
       "      <th>bedroomcnt</th>\n",
       "      <th>buildingqualitytypeid</th>\n",
       "      <th>finishedsquarefeet12</th>\n",
       "      <th>fips</th>\n",
       "      <th>heatingorsystemtypeid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>lotsizesquarefeet</th>\n",
       "      <th>...</th>\n",
       "      <th>rawcensustractandblock</th>\n",
       "      <th>regionidcity</th>\n",
       "      <th>regionidcounty</th>\n",
       "      <th>regionidzip</th>\n",
       "      <th>roomcnt</th>\n",
       "      <th>unitcnt</th>\n",
       "      <th>taxamount</th>\n",
       "      <th>logerror</th>\n",
       "      <th>yeardifference</th>\n",
       "      <th>propertyzoningdesc_labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>63878.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>7170.22</td>\n",
       "      <td>0.0383</td>\n",
       "      <td>33.0</td>\n",
       "      <td>627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1160.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.188121</td>\n",
       "      <td>-118.646361</td>\n",
       "      <td>7688.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371352</td>\n",
       "      <td>12447.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5421.96</td>\n",
       "      <td>0.0030</td>\n",
       "      <td>55.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10730788</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1570.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.188446</td>\n",
       "      <td>-118.616724</td>\n",
       "      <td>11308.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371351</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96342.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5097.78</td>\n",
       "      <td>-0.0020</td>\n",
       "      <td>56.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10735394</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2863.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.171439</td>\n",
       "      <td>-118.646883</td>\n",
       "      <td>16376.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371373</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96389.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7475.21</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>52.0</td>\n",
       "      <td>632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10743512</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1394.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.152890</td>\n",
       "      <td>-118.791494</td>\n",
       "      <td>77543.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.378003</td>\n",
       "      <td>34278.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96385.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5550.36</td>\n",
       "      <td>0.0630</td>\n",
       "      <td>17.0</td>\n",
       "      <td>769</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10760933</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1212.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.220631</td>\n",
       "      <td>-118.521001</td>\n",
       "      <td>7379.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371313</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96355.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4560.02</td>\n",
       "      <td>-0.1244</td>\n",
       "      <td>61.0</td>\n",
       "      <td>609</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10772282</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2597.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.209413</td>\n",
       "      <td>-118.578052</td>\n",
       "      <td>10537.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371341</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96341.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4998.86</td>\n",
       "      <td>0.0545</td>\n",
       "      <td>51.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10783331</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1742.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.185891</td>\n",
       "      <td>-118.550426</td>\n",
       "      <td>7076.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371331</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96364.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5784.98</td>\n",
       "      <td>0.0070</td>\n",
       "      <td>62.0</td>\n",
       "      <td>609</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10784006</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>950.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.192384</td>\n",
       "      <td>-118.549670</td>\n",
       "      <td>6242.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371325</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96364.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3441.90</td>\n",
       "      <td>0.0611</td>\n",
       "      <td>64.0</td>\n",
       "      <td>609</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10799070</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.178100</td>\n",
       "      <td>-118.535000</td>\n",
       "      <td>87177.0</td>\n",
       "      <td>...</td>\n",
       "      <td>60.371393</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96379.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3833.83</td>\n",
       "      <td>-0.0471</td>\n",
       "      <td>36.0</td>\n",
       "      <td>625</td>\n",
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       "  </tbody>\n",
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       "<p>10 rows × 21 columns</p>\n",
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      "text/plain": [
       "   parcelid  bathroomcnt  bedroomcnt  buildingqualitytypeid  \\\n",
       "0  10726315          3.0         3.0                    4.0   \n",
       "1  10727091          2.0         3.0                    7.0   \n",
       "2  10730788          2.0         4.0                    7.0   \n",
       "3  10735394          3.0         4.0                    4.0   \n",
       "4  10743512          3.0         2.0                    4.0   \n",
       "5  10760933          2.0         4.0                    7.0   \n",
       "6  10772282          3.0         4.0                    4.0   \n",
       "7  10783331          2.0         3.0                    7.0   \n",
       "8  10784006          1.0         2.0                    7.0   \n",
       "9  10799070          2.0         2.0                    4.0   \n",
       "\n",
       "   finishedsquarefeet12    fips  heatingorsystemtypeid   latitude   longitude  \\\n",
       "0                2445.0  6037.0                    2.0  34.184300 -118.657000   \n",
       "1                1160.0  6037.0                    2.0  34.188121 -118.646361   \n",
       "2                1570.0  6037.0                    2.0  34.188446 -118.616724   \n",
       "3                2863.0  6037.0                    2.0  34.171439 -118.646883   \n",
       "4                1394.0  6037.0                    2.0  34.152890 -118.791494   \n",
       "5                1212.0  6037.0                    7.0  34.220631 -118.521001   \n",
       "6                2597.0  6037.0                    2.0  34.209413 -118.578052   \n",
       "7                1742.0  6037.0                    7.0  34.185891 -118.550426   \n",
       "8                 950.0  6037.0                    7.0  34.192384 -118.549670   \n",
       "9                1001.0  6037.0                    2.0  34.178100 -118.535000   \n",
       "\n",
       "   lotsizesquarefeet  ...  rawcensustractandblock  regionidcity  \\\n",
       "0            63878.0  ...               60.371352       12447.0   \n",
       "1             7688.0  ...               60.371352       12447.0   \n",
       "2            11308.0  ...               60.371351       12447.0   \n",
       "3            16376.0  ...               60.371373       12447.0   \n",
       "4            77543.0  ...               60.378003       34278.0   \n",
       "5             7379.0  ...               60.371313       12447.0   \n",
       "6            10537.0  ...               60.371341       12447.0   \n",
       "7             7076.0  ...               60.371331       12447.0   \n",
       "8             6242.0  ...               60.371325       12447.0   \n",
       "9            87177.0  ...               60.371393       12447.0   \n",
       "\n",
       "   regionidcounty  regionidzip  roomcnt  unitcnt  taxamount  logerror  \\\n",
       "0          3101.0      96389.0      0.0      1.0    7170.22    0.0383   \n",
       "1          3101.0      96342.0      0.0      1.0    5421.96    0.0030   \n",
       "2          3101.0      96342.0      0.0      1.0    5097.78   -0.0020   \n",
       "3          3101.0      96389.0      0.0      1.0    7475.21    0.0129   \n",
       "4          3101.0      96385.0      0.0      1.0    5550.36    0.0630   \n",
       "5          3101.0      96355.0      0.0      1.0    4560.02   -0.1244   \n",
       "6          3101.0      96341.0      0.0      1.0    4998.86    0.0545   \n",
       "7          3101.0      96364.0      0.0      1.0    5784.98    0.0070   \n",
       "8          3101.0      96364.0      0.0      1.0    3441.90    0.0611   \n",
       "9          3101.0      96379.0      0.0      1.0    3833.83   -0.0471   \n",
       "\n",
       "   yeardifference  propertyzoningdesc_labels  \n",
       "0            33.0                        627  \n",
       "1            55.0                        638  \n",
       "2            56.0                        638  \n",
       "3            52.0                        632  \n",
       "4            17.0                        769  \n",
       "5            61.0                        609  \n",
       "6            51.0                        638  \n",
       "7            62.0                        609  \n",
       "8            64.0                        609  \n",
       "9            36.0                        625  \n",
       "\n",
       "[10 rows x 21 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cafb6d1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting data into Train and Test Set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "62a6db90",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data.drop('logerror', axis=1)\n",
    "y = data['logerror']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "82d45e39",
   "metadata": {},
   "outputs": [],
   "source": [
    "new_data = data.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0755aedf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(70260, 20)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d4672d7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(70260,)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9545fba5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parcelid</th>\n",
       "      <th>bathroomcnt</th>\n",
       "      <th>bedroomcnt</th>\n",
       "      <th>buildingqualitytypeid</th>\n",
       "      <th>finishedsquarefeet12</th>\n",
       "      <th>fips</th>\n",
       "      <th>heatingorsystemtypeid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>lotsizesquarefeet</th>\n",
       "      <th>propertylandusetypeid</th>\n",
       "      <th>rawcensustractandblock</th>\n",
       "      <th>regionidcity</th>\n",
       "      <th>regionidcounty</th>\n",
       "      <th>regionidzip</th>\n",
       "      <th>roomcnt</th>\n",
       "      <th>unitcnt</th>\n",
       "      <th>taxamount</th>\n",
       "      <th>yeardifference</th>\n",
       "      <th>propertyzoningdesc_labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>96389.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7170.22</td>\n",
       "      <td>33.0</td>\n",
       "      <td>627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10727091</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1160.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.188121</td>\n",
       "      <td>-118.646361</td>\n",
       "      <td>7688.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371352</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96342.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5421.96</td>\n",
       "      <td>55.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10730788</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1570.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.188446</td>\n",
       "      <td>-118.616724</td>\n",
       "      <td>11308.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371351</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96342.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5097.78</td>\n",
       "      <td>56.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10735394</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2863.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.171439</td>\n",
       "      <td>-118.646883</td>\n",
       "      <td>16376.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371373</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96389.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7475.21</td>\n",
       "      <td>52.0</td>\n",
       "      <td>632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10743512</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1394.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.152890</td>\n",
       "      <td>-118.791494</td>\n",
       "      <td>77543.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>60.378003</td>\n",
       "      <td>34278.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96385.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5550.36</td>\n",
       "      <td>17.0</td>\n",
       "      <td>769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10760933</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1212.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.220631</td>\n",
       "      <td>-118.521001</td>\n",
       "      <td>7379.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371313</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96355.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4560.02</td>\n",
       "      <td>61.0</td>\n",
       "      <td>609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10772282</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2597.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.209413</td>\n",
       "      <td>-118.578052</td>\n",
       "      <td>10537.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371341</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96341.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4998.86</td>\n",
       "      <td>51.0</td>\n",
       "      <td>638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10783331</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1742.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.185891</td>\n",
       "      <td>-118.550426</td>\n",
       "      <td>7076.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371331</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96364.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5784.98</td>\n",
       "      <td>62.0</td>\n",
       "      <td>609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10784006</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>950.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34.192384</td>\n",
       "      <td>-118.549670</td>\n",
       "      <td>6242.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>60.371325</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96364.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3441.90</td>\n",
       "      <td>64.0</td>\n",
       "      <td>609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10799070</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>6037.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.178100</td>\n",
       "      <td>-118.535000</td>\n",
       "      <td>87177.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>60.371393</td>\n",
       "      <td>12447.0</td>\n",
       "      <td>3101.0</td>\n",
       "      <td>96379.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3833.83</td>\n",
       "      <td>36.0</td>\n",
       "      <td>625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   parcelid  bathroomcnt  bedroomcnt  buildingqualitytypeid  \\\n",
       "0  10726315          3.0         3.0                    4.0   \n",
       "1  10727091          2.0         3.0                    7.0   \n",
       "2  10730788          2.0         4.0                    7.0   \n",
       "3  10735394          3.0         4.0                    4.0   \n",
       "4  10743512          3.0         2.0                    4.0   \n",
       "5  10760933          2.0         4.0                    7.0   \n",
       "6  10772282          3.0         4.0                    4.0   \n",
       "7  10783331          2.0         3.0                    7.0   \n",
       "8  10784006          1.0         2.0                    7.0   \n",
       "9  10799070          2.0         2.0                    4.0   \n",
       "\n",
       "   finishedsquarefeet12    fips  heatingorsystemtypeid   latitude   longitude  \\\n",
       "0                2445.0  6037.0                    2.0  34.184300 -118.657000   \n",
       "1                1160.0  6037.0                    2.0  34.188121 -118.646361   \n",
       "2                1570.0  6037.0                    2.0  34.188446 -118.616724   \n",
       "3                2863.0  6037.0                    2.0  34.171439 -118.646883   \n",
       "4                1394.0  6037.0                    2.0  34.152890 -118.791494   \n",
       "5                1212.0  6037.0                    7.0  34.220631 -118.521001   \n",
       "6                2597.0  6037.0                    2.0  34.209413 -118.578052   \n",
       "7                1742.0  6037.0                    7.0  34.185891 -118.550426   \n",
       "8                 950.0  6037.0                    7.0  34.192384 -118.549670   \n",
       "9                1001.0  6037.0                    2.0  34.178100 -118.535000   \n",
       "\n",
       "   lotsizesquarefeet  propertylandusetypeid  rawcensustractandblock  \\\n",
       "0            63878.0                  266.0               60.371352   \n",
       "1             7688.0                  261.0               60.371352   \n",
       "2            11308.0                  261.0               60.371351   \n",
       "3            16376.0                  261.0               60.371373   \n",
       "4            77543.0                  269.0               60.378003   \n",
       "5             7379.0                  261.0               60.371313   \n",
       "6            10537.0                  261.0               60.371341   \n",
       "7             7076.0                  261.0               60.371331   \n",
       "8             6242.0                  261.0               60.371325   \n",
       "9            87177.0                  266.0               60.371393   \n",
       "\n",
       "   regionidcity  regionidcounty  regionidzip  roomcnt  unitcnt  taxamount  \\\n",
       "0       12447.0          3101.0      96389.0      0.0      1.0    7170.22   \n",
       "1       12447.0          3101.0      96342.0      0.0      1.0    5421.96   \n",
       "2       12447.0          3101.0      96342.0      0.0      1.0    5097.78   \n",
       "3       12447.0          3101.0      96389.0      0.0      1.0    7475.21   \n",
       "4       34278.0          3101.0      96385.0      0.0      1.0    5550.36   \n",
       "5       12447.0          3101.0      96355.0      0.0      1.0    4560.02   \n",
       "6       12447.0          3101.0      96341.0      0.0      1.0    4998.86   \n",
       "7       12447.0          3101.0      96364.0      0.0      1.0    5784.98   \n",
       "8       12447.0          3101.0      96364.0      0.0      1.0    3441.90   \n",
       "9       12447.0          3101.0      96379.0      0.0      1.0    3833.83   \n",
       "\n",
       "   yeardifference  propertyzoningdesc_labels  \n",
       "0            33.0                        627  \n",
       "1            55.0                        638  \n",
       "2            56.0                        638  \n",
       "3            52.0                        632  \n",
       "4            17.0                        769  \n",
       "5            61.0                        609  \n",
       "6            51.0                        638  \n",
       "7            62.0                        609  \n",
       "8            64.0                        609  \n",
       "9            36.0                        625  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "8d4252c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.0383\n",
       "1    0.0030\n",
       "2   -0.0020\n",
       "3    0.0129\n",
       "4    0.0630\n",
       "5   -0.1244\n",
       "6    0.0545\n",
       "7    0.0070\n",
       "8    0.0611\n",
       "9   -0.0471\n",
       "Name: logerror, dtype: float64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "b863fd75",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "d20fe995",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((56208, 20), (14052, 20))"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d89ceebf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((56208,), (14052,))"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42d9c805",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Feature Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "b279d98e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_variables = []\n",
    "for var in X_train.columns:\n",
    "    if var not in ['parcelid', 'logerror']:\n",
    "        train_variables.append(var)\n",
    "        \n",
    "len(train_variables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "58883eb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train[train_variables])\n",
    "\n",
    "X_train[train_variables] = scaler.transform(X_train[train_variables])\n",
    "X_test[train_variables] = scaler.transform(X_test[train_variables])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6ebdeafa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(56208, 20)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "5de0afef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parcelid</th>\n",
       "      <th>bathroomcnt</th>\n",
       "      <th>bedroomcnt</th>\n",
       "      <th>buildingqualitytypeid</th>\n",
       "      <th>finishedsquarefeet12</th>\n",
       "      <th>fips</th>\n",
       "      <th>heatingorsystemtypeid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>lotsizesquarefeet</th>\n",
       "      <th>propertylandusetypeid</th>\n",
       "      <th>rawcensustractandblock</th>\n",
       "      <th>regionidcity</th>\n",
       "      <th>regionidcounty</th>\n",
       "      <th>regionidzip</th>\n",
       "      <th>roomcnt</th>\n",
       "      <th>unitcnt</th>\n",
       "      <th>taxamount</th>\n",
       "      <th>yeardifference</th>\n",
       "      <th>propertyzoningdesc_labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11733</th>\n",
       "      <td>11041069</td>\n",
       "      <td>-0.197352</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>-1.455344</td>\n",
       "      <td>-0.223147</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>0.951100</td>\n",
       "      <td>-1.226572</td>\n",
       "      <td>-0.247220</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>-0.706626</td>\n",
       "      <td>-0.815020</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>-0.413986</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-1.159070</td>\n",
       "      <td>0.300944</td>\n",
       "      <td>-0.401762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33579</th>\n",
       "      <td>11879130</td>\n",
       "      <td>-0.197352</td>\n",
       "      <td>-0.954052</td>\n",
       "      <td>-1.455344</td>\n",
       "      <td>-0.961886</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>0.450290</td>\n",
       "      <td>-0.243563</td>\n",
       "      <td>1.256514</td>\n",
       "      <td>1.330899</td>\n",
       "      <td>-0.699972</td>\n",
       "      <td>-0.815020</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>-1.272406</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-0.400560</td>\n",
       "      <td>-0.912872</td>\n",
       "      <td>-0.432594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68974</th>\n",
       "      <td>12229225</td>\n",
       "      <td>-0.197352</td>\n",
       "      <td>1.078019</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>0.278894</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>1.915573</td>\n",
       "      <td>-0.165314</td>\n",
       "      <td>-0.452496</td>\n",
       "      <td>-0.305814</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>-0.694077</td>\n",
       "      <td>-0.815020</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>-1.371645</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-0.474095</td>\n",
       "      <td>2.598525</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59980</th>\n",
       "      <td>14628114</td>\n",
       "      <td>0.423779</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>-0.449292</td>\n",
       "      <td>1.485946</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>-1.241203</td>\n",
       "      <td>1.897581</td>\n",
       "      <td>-0.311565</td>\n",
       "      <td>1.330899</td>\n",
       "      <td>1.483038</td>\n",
       "      <td>-0.654202</td>\n",
       "      <td>-1.485946</td>\n",
       "      <td>1.134146</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>0.322571</td>\n",
       "      <td>-0.826171</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1666</th>\n",
       "      <td>14093700</td>\n",
       "      <td>1.044910</td>\n",
       "      <td>1.078019</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>-0.420647</td>\n",
       "      <td>1.485946</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>-0.730531</td>\n",
       "      <td>0.483726</td>\n",
       "      <td>-0.173901</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>1.488638</td>\n",
       "      <td>-0.173974</td>\n",
       "      <td>-1.485946</td>\n",
       "      <td>1.270600</td>\n",
       "      <td>2.344460</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-1.219993</td>\n",
       "      <td>0.561048</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63534</th>\n",
       "      <td>14733748</td>\n",
       "      <td>0.423779</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>-0.616639</td>\n",
       "      <td>1.485946</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>-1.480747</td>\n",
       "      <td>1.752018</td>\n",
       "      <td>-0.311565</td>\n",
       "      <td>1.330899</td>\n",
       "      <td>1.483038</td>\n",
       "      <td>-0.654202</td>\n",
       "      <td>-1.485946</td>\n",
       "      <td>1.134146</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>0.210161</td>\n",
       "      <td>-1.346378</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>12080932</td>\n",
       "      <td>-0.197352</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>1.086984</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>1.915573</td>\n",
       "      <td>0.579060</td>\n",
       "      <td>-0.330687</td>\n",
       "      <td>-0.237875</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>-0.700242</td>\n",
       "      <td>-0.815020</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>-1.274887</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>0.509681</td>\n",
       "      <td>2.511824</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2778</th>\n",
       "      <td>10785210</td>\n",
       "      <td>-1.439614</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>-0.783986</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>1.915573</td>\n",
       "      <td>0.779267</td>\n",
       "      <td>-1.571452</td>\n",
       "      <td>-0.310406</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>-0.705038</td>\n",
       "      <td>-0.815020</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>-0.426391</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-0.424859</td>\n",
       "      <td>0.734450</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21808</th>\n",
       "      <td>14017467</td>\n",
       "      <td>-0.197352</td>\n",
       "      <td>0.061984</td>\n",
       "      <td>0.628394</td>\n",
       "      <td>0.025612</td>\n",
       "      <td>1.485946</td>\n",
       "      <td>1.426788</td>\n",
       "      <td>-0.486496</td>\n",
       "      <td>0.407396</td>\n",
       "      <td>-0.311565</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>1.490866</td>\n",
       "      <td>-0.910206</td>\n",
       "      <td>-1.485946</td>\n",
       "      <td>-0.882892</td>\n",
       "      <td>1.548763</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>0.085812</td>\n",
       "      <td>0.387646</td>\n",
       "      <td>-0.470542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8257</th>\n",
       "      <td>11240447</td>\n",
       "      <td>1.044910</td>\n",
       "      <td>1.078019</td>\n",
       "      <td>-1.455344</td>\n",
       "      <td>1.047786</td>\n",
       "      <td>-0.672972</td>\n",
       "      <td>-0.528352</td>\n",
       "      <td>2.075074</td>\n",
       "      <td>-0.091749</td>\n",
       "      <td>0.616863</td>\n",
       "      <td>-0.502529</td>\n",
       "      <td>-0.627382</td>\n",
       "      <td>0.622869</td>\n",
       "      <td>0.672972</td>\n",
       "      <td>1.967755</td>\n",
       "      <td>-0.440480</td>\n",
       "      <td>-0.082261</td>\n",
       "      <td>-0.388135</td>\n",
       "      <td>-0.436015</td>\n",
       "      <td>0.340587</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       parcelid  bathroomcnt  bedroomcnt  buildingqualitytypeid  \\\n",
       "11733  11041069    -0.197352    0.061984              -1.455344   \n",
       "33579  11879130    -0.197352   -0.954052              -1.455344   \n",
       "68974  12229225    -0.197352    1.078019               0.628394   \n",
       "59980  14628114     0.423779    0.061984               0.628394   \n",
       "1666   14093700     1.044910    1.078019               0.628394   \n",
       "63534  14733748     0.423779    0.061984               0.628394   \n",
       "1169   12080932    -0.197352    0.061984               0.628394   \n",
       "2778   10785210    -1.439614    0.061984               0.628394   \n",
       "21808  14017467    -0.197352    0.061984               0.628394   \n",
       "8257   11240447     1.044910    1.078019              -1.455344   \n",
       "\n",
       "       finishedsquarefeet12      fips  heatingorsystemtypeid  latitude  \\\n",
       "11733             -0.223147 -0.672972              -0.528352  0.951100   \n",
       "33579             -0.961886 -0.672972              -0.528352  0.450290   \n",
       "68974              0.278894 -0.672972               1.915573 -0.165314   \n",
       "59980             -0.449292  1.485946              -0.528352 -1.241203   \n",
       "1666              -0.420647  1.485946              -0.528352 -0.730531   \n",
       "63534             -0.616639  1.485946              -0.528352 -1.480747   \n",
       "1169               1.086984 -0.672972               1.915573  0.579060   \n",
       "2778              -0.783986 -0.672972               1.915573  0.779267   \n",
       "21808              0.025612  1.485946               1.426788 -0.486496   \n",
       "8257               1.047786 -0.672972              -0.528352  2.075074   \n",
       "\n",
       "       longitude  lotsizesquarefeet  propertylandusetypeid  \\\n",
       "11733  -1.226572          -0.247220              -0.502529   \n",
       "33579  -0.243563           1.256514               1.330899   \n",
       "68974  -0.452496          -0.305814              -0.502529   \n",
       "59980   1.897581          -0.311565               1.330899   \n",
       "1666    0.483726          -0.173901              -0.502529   \n",
       "63534   1.752018          -0.311565               1.330899   \n",
       "1169   -0.330687          -0.237875              -0.502529   \n",
       "2778   -1.571452          -0.310406              -0.502529   \n",
       "21808   0.407396          -0.311565              -0.502529   \n",
       "8257   -0.091749           0.616863              -0.502529   \n",
       "\n",
       "       rawcensustractandblock  regionidcity  regionidcounty  regionidzip  \\\n",
       "11733               -0.706626     -0.815020        0.672972    -0.413986   \n",
       "33579               -0.699972     -0.815020        0.672972    -1.272406   \n",
       "68974               -0.694077     -0.815020        0.672972    -1.371645   \n",
       "59980                1.483038     -0.654202       -1.485946     1.134146   \n",
       "1666                 1.488638     -0.173974       -1.485946     1.270600   \n",
       "63534                1.483038     -0.654202       -1.485946     1.134146   \n",
       "1169                -0.700242     -0.815020        0.672972    -1.274887   \n",
       "2778                -0.705038     -0.815020        0.672972    -0.426391   \n",
       "21808                1.490866     -0.910206       -1.485946    -0.882892   \n",
       "8257                -0.627382      0.622869        0.672972     1.967755   \n",
       "\n",
       "        roomcnt   unitcnt  taxamount  yeardifference  \\\n",
       "11733 -0.440480 -0.082261  -1.159070        0.300944   \n",
       "33579 -0.440480 -0.082261  -0.400560       -0.912872   \n",
       "68974 -0.440480 -0.082261  -0.474095        2.598525   \n",
       "59980 -0.440480 -0.082261   0.322571       -0.826171   \n",
       "1666   2.344460 -0.082261  -1.219993        0.561048   \n",
       "63534 -0.440480 -0.082261   0.210161       -1.346378   \n",
       "1169  -0.440480 -0.082261   0.509681        2.511824   \n",
       "2778  -0.440480 -0.082261  -0.424859        0.734450   \n",
       "21808  1.548763 -0.082261   0.085812        0.387646   \n",
       "8257  -0.440480 -0.082261  -0.388135       -0.436015   \n",
       "\n",
       "       propertyzoningdesc_labels  \n",
       "11733                  -0.401762  \n",
       "33579                  -0.432594  \n",
       "68974                  -0.470542  \n",
       "59980                  -0.470542  \n",
       "1666                   -0.470542  \n",
       "63534                  -0.470542  \n",
       "1169                   -0.470542  \n",
       "2778                   -0.470542  \n",
       "21808                  -0.470542  \n",
       "8257                    0.340587  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e1145a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping parcelid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "0593d8ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_new = X_train.copy()\n",
    "X_test_new = X_test.copy()\n",
    "\n",
    "X_train.drop(columns='parcelid', axis=1, inplace=True)\n",
    "X_test.drop(columns='parcelid', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "b8fef1c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((56208, 19), (14052, 19))"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7606a485",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Linear Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "a23ced8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 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-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 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-3 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-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 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-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 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-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 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-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" 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-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" 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": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_regression = LinearRegression()\n",
    "linear_regression.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "dbc08292",
   "metadata": {},
   "outputs": [],
   "source": [
    "linear_regression_prediction = linear_regression.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "3cb35f03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.00565632, -0.0007824 ,  0.01668563, ...,  0.01559079,\n",
       "        0.00250482,  0.00433461])"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linear_regression_prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "a0a9a364",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14808    0.3358\n",
       "27489    0.2135\n",
       "69881    0.0159\n",
       "36967    0.0000\n",
       "9803     0.0488\n",
       "          ...  \n",
       "62060   -0.0182\n",
       "24167    0.1231\n",
       "19312   -0.0050\n",
       "46892    0.0060\n",
       "21428    0.0816\n",
       "Name: logerror, Length: 14052, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "e749837f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualising predicted values and y_test\n",
    "\n",
    "plt.scatter(y_test, linear_regression_prediction, alpha=0.5)\n",
    "plt.xlabel('Actual Values (y_test)')\n",
    "plt.ylabel('Predicted Values (linear_regression_prediction)')\n",
    "plt.title('Predicted vs Actual Values')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "a1245c84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y_test, label='Actual valus (y_test)', marker='o')\n",
    "plt.plot(linear_regression_prediction, label='Predicted Values (linear_regression_prediction)', marker='x')\n",
    "plt.xlabel('Data Points')\n",
    "plt.ylabel('Values')\n",
    "plt.title(\"Predicted vs Actual Values\")\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "614fd49b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Scatter Plot with a line of best fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "da73c44a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.stats import linregress\n",
    "\n",
    "slope, intercept, r_value, p_value, std_err = linregress(y_test, linear_regression_prediction)\n",
    "line = slope * np.array(y_test) + intercept\n",
    "\n",
    "plt.scatter(y_test, linear_regression_prediction)\n",
    "plt.plot(y_test, line, color='blue')\n",
    "plt.xlabel('Actual Values (y_test)')\n",
    "plt.ylabel('Predicted Values (linear_regression_prediction)')\n",
    "plt.title('Predicted vs Actual Values')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6e4dc89a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mean Absolute Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "0b70fe27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error : 0.052683398591761826\n"
     ]
    }
   ],
   "source": [
    "print('Mean Absolute Error : {}'.format(mean_absolute_error(y_test, linear_regression_prediction)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "222b7c92",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Mean Squared Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "1f09d44b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Squared Error : 0.0071510871956413785\n"
     ]
    }
   ],
   "source": [
    "print('Mean Squared Error : {}'.format(mean_squared_error(y_test, linear_regression_prediction)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "307f7b60",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Root Mean Squared Error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "d7dafcc5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Root Mean Squared Error : 0.08456410110467312\n"
     ]
    }
   ],
   "source": [
    "print('Root Mean Squared Error : {}'.format(sqrt(mean_squared_error(y_test, linear_regression_prediction))))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}