01.12-regressão-redes-neurais-regressão.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importação de bibliotecas\n",
    "\n",
    "import pandas as pd                                             # importação de biblioteca para manipulação de dados\n",
    "import numpy as np                                              # importação de biblioteca para manipulação de numeros\n",
    "import matplotlib.pyplot as plt                                 # importação de biblioteca para visualização de gráficos\n",
    "import seaborn as sns                                           # importação de biblioteca para visualização de gráficos\n",
    "import plotly.express as px                                     # importação de biblioteca para visualização de dados graficamente\n",
    "from sklearn.model_selection import train_test_split            # importação de biblioteca sklearn para divisão de dados em treino e teste\n",
    "import plotly.graph_objects as go                               # importação de biblioteca plotly para visualização de dados graficamente\n",
    "from sklearn.metrics import mean_squared_error                  # importação de biblioteca sklearn para calculo de erro quadrático médio\n",
    "from sklearn.metrics import mean_absolute_error                 # importação de biblioteca sklearn para calculo de erro módulo máximo\n",
    "from sklearn.neural_network import MLPRegressor                 # importação de biblioteca sklearn de redes neurais para regressão\n",
    "from sklearn.preprocessing import StandardScaler                # importação de biblioteca sklearn para normalização de dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# carregamento da base de dados preço de casas\n",
    "\n",
    "base_casas = pd.read_csv('./data/house_prices.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
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       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
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       "      <th>view</th>\n",
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       "      <th>grade</th>\n",
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       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
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       "      <td>98178</td>\n",
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       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>538000.0</td>\n",
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       "      <td>2.25</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>2170</td>\n",
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       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5631500400</td>\n",
       "      <td>20150225T000000</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>20141209T000000</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>20150218T000000</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
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       "      <th>21608</th>\n",
       "      <td>263000018</td>\n",
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       "      <td>360000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.50</td>\n",
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       "      <td>0</td>\n",
       "      <td>98103</td>\n",
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       "      <td>-122.346</td>\n",
       "      <td>1530</td>\n",
       "      <td>1509</td>\n",
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       "      <th>21609</th>\n",
       "      <td>6600060120</td>\n",
       "      <td>20150223T000000</td>\n",
       "      <td>400000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>2.50</td>\n",
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       "      <td>5813</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>8</td>\n",
       "      <td>2310</td>\n",
       "      <td>0</td>\n",
       "      <td>2014</td>\n",
       "      <td>0</td>\n",
       "      <td>98146</td>\n",
       "      <td>47.5107</td>\n",
       "      <td>-122.362</td>\n",
       "      <td>1830</td>\n",
       "      <td>7200</td>\n",
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       "      <th>21610</th>\n",
       "      <td>1523300141</td>\n",
       "      <td>20140623T000000</td>\n",
       "      <td>402101.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1020</td>\n",
       "      <td>1350</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5944</td>\n",
       "      <td>-122.299</td>\n",
       "      <td>1020</td>\n",
       "      <td>2007</td>\n",
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       "    <tr>\n",
       "      <th>21611</th>\n",
       "      <td>291310100</td>\n",
       "      <td>20150116T000000</td>\n",
       "      <td>400000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1600</td>\n",
       "      <td>2388</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>8</td>\n",
       "      <td>1600</td>\n",
       "      <td>0</td>\n",
       "      <td>2004</td>\n",
       "      <td>0</td>\n",
       "      <td>98027</td>\n",
       "      <td>47.5345</td>\n",
       "      <td>-122.069</td>\n",
       "      <td>1410</td>\n",
       "      <td>1287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21612</th>\n",
       "      <td>1523300157</td>\n",
       "      <td>20141015T000000</td>\n",
       "      <td>325000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1020</td>\n",
       "      <td>1076</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>7</td>\n",
       "      <td>1020</td>\n",
       "      <td>0</td>\n",
       "      <td>2008</td>\n",
       "      <td>0</td>\n",
       "      <td>98144</td>\n",
       "      <td>47.5941</td>\n",
       "      <td>-122.299</td>\n",
       "      <td>1020</td>\n",
       "      <td>1357</td>\n",
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       "<p>21613 rows × 21 columns</p>\n",
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      ],
      "text/plain": [
       "               id             date     price  bedrooms  bathrooms  \\\n",
       "0      7129300520  20141013T000000  221900.0         3       1.00   \n",
       "1      6414100192  20141209T000000  538000.0         3       2.25   \n",
       "2      5631500400  20150225T000000  180000.0         2       1.00   \n",
       "3      2487200875  20141209T000000  604000.0         4       3.00   \n",
       "4      1954400510  20150218T000000  510000.0         3       2.00   \n",
       "...           ...              ...       ...       ...        ...   \n",
       "21608   263000018  20140521T000000  360000.0         3       2.50   \n",
       "21609  6600060120  20150223T000000  400000.0         4       2.50   \n",
       "21610  1523300141  20140623T000000  402101.0         2       0.75   \n",
       "21611   291310100  20150116T000000  400000.0         3       2.50   \n",
       "21612  1523300157  20141015T000000  325000.0         2       0.75   \n",
       "\n",
       "       sqft_living  sqft_lot  floors  waterfront  view  ...  grade  \\\n",
       "0             1180      5650     1.0           0     0  ...      7   \n",
       "1             2570      7242     2.0           0     0  ...      7   \n",
       "2              770     10000     1.0           0     0  ...      6   \n",
       "3             1960      5000     1.0           0     0  ...      7   \n",
       "4             1680      8080     1.0           0     0  ...      8   \n",
       "...            ...       ...     ...         ...   ...  ...    ...   \n",
       "21608         1530      1131     3.0           0     0  ...      8   \n",
       "21609         2310      5813     2.0           0     0  ...      8   \n",
       "21610         1020      1350     2.0           0     0  ...      7   \n",
       "21611         1600      2388     2.0           0     0  ...      8   \n",
       "21612         1020      1076     2.0           0     0  ...      7   \n",
       "\n",
       "       sqft_above  sqft_basement  yr_built  yr_renovated  zipcode      lat  \\\n",
       "0            1180              0      1955             0    98178  47.5112   \n",
       "1            2170            400      1951          1991    98125  47.7210   \n",
       "2             770              0      1933             0    98028  47.7379   \n",
       "3            1050            910      1965             0    98136  47.5208   \n",
       "4            1680              0      1987             0    98074  47.6168   \n",
       "...           ...            ...       ...           ...      ...      ...   \n",
       "21608        1530              0      2009             0    98103  47.6993   \n",
       "21609        2310              0      2014             0    98146  47.5107   \n",
       "21610        1020              0      2009             0    98144  47.5944   \n",
       "21611        1600              0      2004             0    98027  47.5345   \n",
       "21612        1020              0      2008             0    98144  47.5941   \n",
       "\n",
       "          long  sqft_living15  sqft_lot15  \n",
       "0     -122.257           1340        5650  \n",
       "1     -122.319           1690        7639  \n",
       "2     -122.233           2720        8062  \n",
       "3     -122.393           1360        5000  \n",
       "4     -122.045           1800        7503  \n",
       "...        ...            ...         ...  \n",
       "21608 -122.346           1530        1509  \n",
       "21609 -122.362           1830        7200  \n",
       "21610 -122.299           1020        2007  \n",
       "21611 -122.069           1410        1287  \n",
       "21612 -122.299           1020        1357  \n",
       "\n",
       "[21613 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualização dos registros\n",
    "\n",
    "base_casas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dicionário dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21613 entries, 0 to 21612\n",
      "Data columns (total 21 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   id             21613 non-null  int64  \n",
      " 1   date           21613 non-null  object \n",
      " 2   price          21613 non-null  float64\n",
      " 3   bedrooms       21613 non-null  int64  \n",
      " 4   bathrooms      21613 non-null  float64\n",
      " 5   sqft_living    21613 non-null  int64  \n",
      " 6   sqft_lot       21613 non-null  int64  \n",
      " 7   floors         21613 non-null  float64\n",
      " 8   waterfront     21613 non-null  int64  \n",
      " 9   view           21613 non-null  int64  \n",
      " 10  condition      21613 non-null  int64  \n",
      " 11  grade          21613 non-null  int64  \n",
      " 12  sqft_above     21613 non-null  int64  \n",
      " 13  sqft_basement  21613 non-null  int64  \n",
      " 14  yr_built       21613 non-null  int64  \n",
      " 15  yr_renovated   21613 non-null  int64  \n",
      " 16  zipcode        21613 non-null  int64  \n",
      " 17  lat            21613 non-null  float64\n",
      " 18  long           21613 non-null  float64\n",
      " 19  sqft_living15  21613 non-null  int64  \n",
      " 20  sqft_lot15     21613 non-null  int64  \n",
      "dtypes: float64(5), int64(15), object(1)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "# informações gerais da base de dados\n",
    "\n",
    "base_casas.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# descrição dos dados\n",
    "\n",
    "# id                - identificação da casa                             / variável        \n",
    "# date              - data de anúncio da casa                           / variável \n",
    "# price             - preço da casa                                     / variável\n",
    "# bedrooms          - quantidade de quartos                             / variável\n",
    "# bathrooms         - quantidade de banheiros                           / variável\n",
    "# sqft_living       - área de casa                                      / variável\n",
    "# sqft_lot          - área do lote                                      / variável\n",
    "# floors            - quantidade de pisos                               / variável\n",
    "# waterfront        - localização do mar                                / variável\n",
    "# view              - localização da vista                              / variável\n",
    "# condition         - condição da casa                                  / variável\n",
    "# grade             - condição do lote                                  / variável\n",
    "# sqft_above        - área acima do lote                                / variável\n",
    "# sqft_basement     - área do fundo                                     / variável\n",
    "# yr_built          - ano de construção                                 / variável\n",
    "# yr_renovated      - ano de renovação                                  / variável\n",
    "# zipcode           - código do endereço                                / variável\n",
    "# latitude          - latitude do endereço                              / variável\n",
    "# longitude         - longitude do endereço                             / variável\n",
    "# sqft_living15     - área de casa no ano de 2015                       / variável\n",
    "# sqft_lot15        - área do lote no ano de 2015                       / variável\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# age               - idade                                             / variavel numérica e discreta\n",
    "# workclass         - classe de trabalho                                / variavel categórica e discreta\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# exploração da base de dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>2.161300e+04</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "      <td>21613.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.580302e+09</td>\n",
       "      <td>5.400881e+05</td>\n",
       "      <td>3.370842</td>\n",
       "      <td>2.114757</td>\n",
       "      <td>2079.899736</td>\n",
       "      <td>1.510697e+04</td>\n",
       "      <td>1.494309</td>\n",
       "      <td>0.007542</td>\n",
       "      <td>0.234303</td>\n",
       "      <td>3.409430</td>\n",
       "      <td>7.656873</td>\n",
       "      <td>1788.390691</td>\n",
       "      <td>291.509045</td>\n",
       "      <td>1971.005136</td>\n",
       "      <td>84.402258</td>\n",
       "      <td>98077.939805</td>\n",
       "      <td>47.560053</td>\n",
       "      <td>-122.213896</td>\n",
       "      <td>1986.552492</td>\n",
       "      <td>12768.455652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.876566e+09</td>\n",
       "      <td>3.671272e+05</td>\n",
       "      <td>0.930062</td>\n",
       "      <td>0.770163</td>\n",
       "      <td>918.440897</td>\n",
       "      <td>4.142051e+04</td>\n",
       "      <td>0.539989</td>\n",
       "      <td>0.086517</td>\n",
       "      <td>0.766318</td>\n",
       "      <td>0.650743</td>\n",
       "      <td>1.175459</td>\n",
       "      <td>828.090978</td>\n",
       "      <td>442.575043</td>\n",
       "      <td>29.373411</td>\n",
       "      <td>401.679240</td>\n",
       "      <td>53.505026</td>\n",
       "      <td>0.138564</td>\n",
       "      <td>0.140828</td>\n",
       "      <td>685.391304</td>\n",
       "      <td>27304.179631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000102e+06</td>\n",
       "      <td>7.500000e+04</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>5.200000e+02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>290.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98001.000000</td>\n",
       "      <td>47.155900</td>\n",
       "      <td>-122.519000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>651.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.123049e+09</td>\n",
       "      <td>3.219500e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1427.000000</td>\n",
       "      <td>5.040000e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1190.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1951.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98033.000000</td>\n",
       "      <td>47.471000</td>\n",
       "      <td>-122.328000</td>\n",
       "      <td>1490.000000</td>\n",
       "      <td>5100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.904930e+09</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>1910.000000</td>\n",
       "      <td>7.618000e+03</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1560.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1975.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98065.000000</td>\n",
       "      <td>47.571800</td>\n",
       "      <td>-122.230000</td>\n",
       "      <td>1840.000000</td>\n",
       "      <td>7620.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.308900e+09</td>\n",
       "      <td>6.450000e+05</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2550.000000</td>\n",
       "      <td>1.068800e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2210.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98118.000000</td>\n",
       "      <td>47.678000</td>\n",
       "      <td>-122.125000</td>\n",
       "      <td>2360.000000</td>\n",
       "      <td>10083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.900000e+09</td>\n",
       "      <td>7.700000e+06</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13540.000000</td>\n",
       "      <td>1.651359e+06</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>9410.000000</td>\n",
       "      <td>4820.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>98199.000000</td>\n",
       "      <td>47.777600</td>\n",
       "      <td>-121.315000</td>\n",
       "      <td>6210.000000</td>\n",
       "      <td>871200.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id         price      bedrooms     bathrooms   sqft_living  \\\n",
       "count  2.161300e+04  2.161300e+04  21613.000000  21613.000000  21613.000000   \n",
       "mean   4.580302e+09  5.400881e+05      3.370842      2.114757   2079.899736   \n",
       "std    2.876566e+09  3.671272e+05      0.930062      0.770163    918.440897   \n",
       "min    1.000102e+06  7.500000e+04      0.000000      0.000000    290.000000   \n",
       "25%    2.123049e+09  3.219500e+05      3.000000      1.750000   1427.000000   \n",
       "50%    3.904930e+09  4.500000e+05      3.000000      2.250000   1910.000000   \n",
       "75%    7.308900e+09  6.450000e+05      4.000000      2.500000   2550.000000   \n",
       "max    9.900000e+09  7.700000e+06     33.000000      8.000000  13540.000000   \n",
       "\n",
       "           sqft_lot        floors    waterfront          view     condition  \\\n",
       "count  2.161300e+04  21613.000000  21613.000000  21613.000000  21613.000000   \n",
       "mean   1.510697e+04      1.494309      0.007542      0.234303      3.409430   \n",
       "std    4.142051e+04      0.539989      0.086517      0.766318      0.650743   \n",
       "min    5.200000e+02      1.000000      0.000000      0.000000      1.000000   \n",
       "25%    5.040000e+03      1.000000      0.000000      0.000000      3.000000   \n",
       "50%    7.618000e+03      1.500000      0.000000      0.000000      3.000000   \n",
       "75%    1.068800e+04      2.000000      0.000000      0.000000      4.000000   \n",
       "max    1.651359e+06      3.500000      1.000000      4.000000      5.000000   \n",
       "\n",
       "              grade    sqft_above  sqft_basement      yr_built  yr_renovated  \\\n",
       "count  21613.000000  21613.000000   21613.000000  21613.000000  21613.000000   \n",
       "mean       7.656873   1788.390691     291.509045   1971.005136     84.402258   \n",
       "std        1.175459    828.090978     442.575043     29.373411    401.679240   \n",
       "min        1.000000    290.000000       0.000000   1900.000000      0.000000   \n",
       "25%        7.000000   1190.000000       0.000000   1951.000000      0.000000   \n",
       "50%        7.000000   1560.000000       0.000000   1975.000000      0.000000   \n",
       "75%        8.000000   2210.000000     560.000000   1997.000000      0.000000   \n",
       "max       13.000000   9410.000000    4820.000000   2015.000000   2015.000000   \n",
       "\n",
       "            zipcode           lat          long  sqft_living15     sqft_lot15  \n",
       "count  21613.000000  21613.000000  21613.000000   21613.000000   21613.000000  \n",
       "mean   98077.939805     47.560053   -122.213896    1986.552492   12768.455652  \n",
       "std       53.505026      0.138564      0.140828     685.391304   27304.179631  \n",
       "min    98001.000000     47.155900   -122.519000     399.000000     651.000000  \n",
       "25%    98033.000000     47.471000   -122.328000    1490.000000    5100.000000  \n",
       "50%    98065.000000     47.571800   -122.230000    1840.000000    7620.000000  \n",
       "75%    98118.000000     47.678000   -122.125000    2360.000000   10083.000000  \n",
       "max    98199.000000     47.777600   -121.315000    6210.000000  871200.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualização dos dados estatísticos das variaveis numéricas da base de dados\n",
    "\n",
    "base_casas.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nulos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>date</th>\n",
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       "      <td>0</td>\n",
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       "      <th>bedrooms</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floors</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waterfront</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>view</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>condition</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_above</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_basement</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_built</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_renovated</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipcode</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living15</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot15</th>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               nulos\n",
       "id                 0\n",
       "date               0\n",
       "price              0\n",
       "bedrooms           0\n",
       "bathrooms          0\n",
       "sqft_living        0\n",
       "sqft_lot           0\n",
       "floors             0\n",
       "waterfront         0\n",
       "view               0\n",
       "condition          0\n",
       "grade              0\n",
       "sqft_above         0\n",
       "sqft_basement      0\n",
       "yr_built           0\n",
       "yr_renovated       0\n",
       "zipcode            0\n",
       "lat                0\n",
       "long               0\n",
       "sqft_living15      0\n",
       "sqft_lot15         0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exploração em valores nulos\n",
    "\n",
    "nulos_base = pd.DataFrame(base_casas.isnull().sum())\n",
    "nulos_base.columns = ['nulos']\n",
    "nulos_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
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       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
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       "      <th>sqft_lot15</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.016762</td>\n",
       "      <td>0.001286</td>\n",
       "      <td>0.005160</td>\n",
       "      <td>-0.012258</td>\n",
       "      <td>-0.132109</td>\n",
       "      <td>0.018525</td>\n",
       "      <td>-0.002721</td>\n",
       "      <td>0.011592</td>\n",
       "      <td>-0.023783</td>\n",
       "      <td>0.008130</td>\n",
       "      <td>-0.010842</td>\n",
       "      <td>-0.005151</td>\n",
       "      <td>0.021380</td>\n",
       "      <td>-0.016907</td>\n",
       "      <td>-0.008224</td>\n",
       "      <td>-0.001891</td>\n",
       "      <td>0.020799</td>\n",
       "      <td>-0.002901</td>\n",
       "      <td>-0.138798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>-0.016762</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.308350</td>\n",
       "      <td>0.525138</td>\n",
       "      <td>0.702035</td>\n",
       "      <td>0.089661</td>\n",
       "      <td>0.256794</td>\n",
       "      <td>0.266369</td>\n",
       "      <td>0.397293</td>\n",
       "      <td>0.036362</td>\n",
       "      <td>0.667434</td>\n",
       "      <td>0.605567</td>\n",
       "      <td>0.323816</td>\n",
       "      <td>0.054012</td>\n",
       "      <td>0.126434</td>\n",
       "      <td>-0.053203</td>\n",
       "      <td>0.307003</td>\n",
       "      <td>0.021626</td>\n",
       "      <td>0.585379</td>\n",
       "      <td>0.082447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bedrooms</th>\n",
       "      <td>0.001286</td>\n",
       "      <td>0.308350</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.515884</td>\n",
       "      <td>0.576671</td>\n",
       "      <td>0.031703</td>\n",
       "      <td>0.175429</td>\n",
       "      <td>-0.006582</td>\n",
       "      <td>0.079532</td>\n",
       "      <td>0.028472</td>\n",
       "      <td>0.356967</td>\n",
       "      <td>0.477600</td>\n",
       "      <td>0.303093</td>\n",
       "      <td>0.154178</td>\n",
       "      <td>0.018841</td>\n",
       "      <td>-0.152668</td>\n",
       "      <td>-0.008931</td>\n",
       "      <td>0.129473</td>\n",
       "      <td>0.391638</td>\n",
       "      <td>0.029244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bathrooms</th>\n",
       "      <td>0.005160</td>\n",
       "      <td>0.525138</td>\n",
       "      <td>0.515884</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.754665</td>\n",
       "      <td>0.087740</td>\n",
       "      <td>0.500653</td>\n",
       "      <td>0.063744</td>\n",
       "      <td>0.187737</td>\n",
       "      <td>-0.124982</td>\n",
       "      <td>0.664983</td>\n",
       "      <td>0.685342</td>\n",
       "      <td>0.283770</td>\n",
       "      <td>0.506019</td>\n",
       "      <td>0.050739</td>\n",
       "      <td>-0.203866</td>\n",
       "      <td>0.024573</td>\n",
       "      <td>0.223042</td>\n",
       "      <td>0.568634</td>\n",
       "      <td>0.087175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living</th>\n",
       "      <td>-0.012258</td>\n",
       "      <td>0.702035</td>\n",
       "      <td>0.576671</td>\n",
       "      <td>0.754665</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.172826</td>\n",
       "      <td>0.353949</td>\n",
       "      <td>0.103818</td>\n",
       "      <td>0.284611</td>\n",
       "      <td>-0.058753</td>\n",
       "      <td>0.762704</td>\n",
       "      <td>0.876597</td>\n",
       "      <td>0.435043</td>\n",
       "      <td>0.318049</td>\n",
       "      <td>0.055363</td>\n",
       "      <td>-0.199430</td>\n",
       "      <td>0.052529</td>\n",
       "      <td>0.240223</td>\n",
       "      <td>0.756420</td>\n",
       "      <td>0.183286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot</th>\n",
       "      <td>-0.132109</td>\n",
       "      <td>0.089661</td>\n",
       "      <td>0.031703</td>\n",
       "      <td>0.087740</td>\n",
       "      <td>0.172826</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.005201</td>\n",
       "      <td>0.021604</td>\n",
       "      <td>0.074710</td>\n",
       "      <td>-0.008958</td>\n",
       "      <td>0.113621</td>\n",
       "      <td>0.183512</td>\n",
       "      <td>0.015286</td>\n",
       "      <td>0.053080</td>\n",
       "      <td>0.007644</td>\n",
       "      <td>-0.129574</td>\n",
       "      <td>-0.085683</td>\n",
       "      <td>0.229521</td>\n",
       "      <td>0.144608</td>\n",
       "      <td>0.718557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>floors</th>\n",
       "      <td>0.018525</td>\n",
       "      <td>0.256794</td>\n",
       "      <td>0.175429</td>\n",
       "      <td>0.500653</td>\n",
       "      <td>0.353949</td>\n",
       "      <td>-0.005201</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.023698</td>\n",
       "      <td>0.029444</td>\n",
       "      <td>-0.263768</td>\n",
       "      <td>0.458183</td>\n",
       "      <td>0.523885</td>\n",
       "      <td>-0.245705</td>\n",
       "      <td>0.489319</td>\n",
       "      <td>0.006338</td>\n",
       "      <td>-0.059121</td>\n",
       "      <td>0.049614</td>\n",
       "      <td>0.125419</td>\n",
       "      <td>0.279885</td>\n",
       "      <td>-0.011269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waterfront</th>\n",
       "      <td>-0.002721</td>\n",
       "      <td>0.266369</td>\n",
       "      <td>-0.006582</td>\n",
       "      <td>0.063744</td>\n",
       "      <td>0.103818</td>\n",
       "      <td>0.021604</td>\n",
       "      <td>0.023698</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.401857</td>\n",
       "      <td>0.016653</td>\n",
       "      <td>0.082775</td>\n",
       "      <td>0.072075</td>\n",
       "      <td>0.080588</td>\n",
       "      <td>-0.026161</td>\n",
       "      <td>0.092885</td>\n",
       "      <td>0.030285</td>\n",
       "      <td>-0.014274</td>\n",
       "      <td>-0.041910</td>\n",
       "      <td>0.086463</td>\n",
       "      <td>0.030703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>view</th>\n",
       "      <td>0.011592</td>\n",
       "      <td>0.397293</td>\n",
       "      <td>0.079532</td>\n",
       "      <td>0.187737</td>\n",
       "      <td>0.284611</td>\n",
       "      <td>0.074710</td>\n",
       "      <td>0.029444</td>\n",
       "      <td>0.401857</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.045990</td>\n",
       "      <td>0.251321</td>\n",
       "      <td>0.167649</td>\n",
       "      <td>0.276947</td>\n",
       "      <td>-0.053440</td>\n",
       "      <td>0.103917</td>\n",
       "      <td>0.084827</td>\n",
       "      <td>0.006157</td>\n",
       "      <td>-0.078400</td>\n",
       "      <td>0.280439</td>\n",
       "      <td>0.072575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>condition</th>\n",
       "      <td>-0.023783</td>\n",
       "      <td>0.036362</td>\n",
       "      <td>0.028472</td>\n",
       "      <td>-0.124982</td>\n",
       "      <td>-0.058753</td>\n",
       "      <td>-0.008958</td>\n",
       "      <td>-0.263768</td>\n",
       "      <td>0.016653</td>\n",
       "      <td>0.045990</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.144674</td>\n",
       "      <td>-0.158214</td>\n",
       "      <td>0.174105</td>\n",
       "      <td>-0.361417</td>\n",
       "      <td>-0.060618</td>\n",
       "      <td>0.003026</td>\n",
       "      <td>-0.014941</td>\n",
       "      <td>-0.106500</td>\n",
       "      <td>-0.092824</td>\n",
       "      <td>-0.003406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grade</th>\n",
       "      <td>0.008130</td>\n",
       "      <td>0.667434</td>\n",
       "      <td>0.356967</td>\n",
       "      <td>0.664983</td>\n",
       "      <td>0.762704</td>\n",
       "      <td>0.113621</td>\n",
       "      <td>0.458183</td>\n",
       "      <td>0.082775</td>\n",
       "      <td>0.251321</td>\n",
       "      <td>-0.144674</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.755923</td>\n",
       "      <td>0.168392</td>\n",
       "      <td>0.446963</td>\n",
       "      <td>0.014414</td>\n",
       "      <td>-0.184862</td>\n",
       "      <td>0.114084</td>\n",
       "      <td>0.198372</td>\n",
       "      <td>0.713202</td>\n",
       "      <td>0.119248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_above</th>\n",
       "      <td>-0.010842</td>\n",
       "      <td>0.605567</td>\n",
       "      <td>0.477600</td>\n",
       "      <td>0.685342</td>\n",
       "      <td>0.876597</td>\n",
       "      <td>0.183512</td>\n",
       "      <td>0.523885</td>\n",
       "      <td>0.072075</td>\n",
       "      <td>0.167649</td>\n",
       "      <td>-0.158214</td>\n",
       "      <td>0.755923</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.051943</td>\n",
       "      <td>0.423898</td>\n",
       "      <td>0.023285</td>\n",
       "      <td>-0.261190</td>\n",
       "      <td>-0.000816</td>\n",
       "      <td>0.343803</td>\n",
       "      <td>0.731870</td>\n",
       "      <td>0.194050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_basement</th>\n",
       "      <td>-0.005151</td>\n",
       "      <td>0.323816</td>\n",
       "      <td>0.303093</td>\n",
       "      <td>0.283770</td>\n",
       "      <td>0.435043</td>\n",
       "      <td>0.015286</td>\n",
       "      <td>-0.245705</td>\n",
       "      <td>0.080588</td>\n",
       "      <td>0.276947</td>\n",
       "      <td>0.174105</td>\n",
       "      <td>0.168392</td>\n",
       "      <td>-0.051943</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.133124</td>\n",
       "      <td>0.071323</td>\n",
       "      <td>0.074845</td>\n",
       "      <td>0.110538</td>\n",
       "      <td>-0.144765</td>\n",
       "      <td>0.200355</td>\n",
       "      <td>0.017276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_built</th>\n",
       "      <td>0.021380</td>\n",
       "      <td>0.054012</td>\n",
       "      <td>0.154178</td>\n",
       "      <td>0.506019</td>\n",
       "      <td>0.318049</td>\n",
       "      <td>0.053080</td>\n",
       "      <td>0.489319</td>\n",
       "      <td>-0.026161</td>\n",
       "      <td>-0.053440</td>\n",
       "      <td>-0.361417</td>\n",
       "      <td>0.446963</td>\n",
       "      <td>0.423898</td>\n",
       "      <td>-0.133124</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.224874</td>\n",
       "      <td>-0.346869</td>\n",
       "      <td>-0.148122</td>\n",
       "      <td>0.409356</td>\n",
       "      <td>0.326229</td>\n",
       "      <td>0.070958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yr_renovated</th>\n",
       "      <td>-0.016907</td>\n",
       "      <td>0.126434</td>\n",
       "      <td>0.018841</td>\n",
       "      <td>0.050739</td>\n",
       "      <td>0.055363</td>\n",
       "      <td>0.007644</td>\n",
       "      <td>0.006338</td>\n",
       "      <td>0.092885</td>\n",
       "      <td>0.103917</td>\n",
       "      <td>-0.060618</td>\n",
       "      <td>0.014414</td>\n",
       "      <td>0.023285</td>\n",
       "      <td>0.071323</td>\n",
       "      <td>-0.224874</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064357</td>\n",
       "      <td>0.029398</td>\n",
       "      <td>-0.068372</td>\n",
       "      <td>-0.002673</td>\n",
       "      <td>0.007854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zipcode</th>\n",
       "      <td>-0.008224</td>\n",
       "      <td>-0.053203</td>\n",
       "      <td>-0.152668</td>\n",
       "      <td>-0.203866</td>\n",
       "      <td>-0.199430</td>\n",
       "      <td>-0.129574</td>\n",
       "      <td>-0.059121</td>\n",
       "      <td>0.030285</td>\n",
       "      <td>0.084827</td>\n",
       "      <td>0.003026</td>\n",
       "      <td>-0.184862</td>\n",
       "      <td>-0.261190</td>\n",
       "      <td>0.074845</td>\n",
       "      <td>-0.346869</td>\n",
       "      <td>0.064357</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.267048</td>\n",
       "      <td>-0.564072</td>\n",
       "      <td>-0.279033</td>\n",
       "      <td>-0.147221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lat</th>\n",
       "      <td>-0.001891</td>\n",
       "      <td>0.307003</td>\n",
       "      <td>-0.008931</td>\n",
       "      <td>0.024573</td>\n",
       "      <td>0.052529</td>\n",
       "      <td>-0.085683</td>\n",
       "      <td>0.049614</td>\n",
       "      <td>-0.014274</td>\n",
       "      <td>0.006157</td>\n",
       "      <td>-0.014941</td>\n",
       "      <td>0.114084</td>\n",
       "      <td>-0.000816</td>\n",
       "      <td>0.110538</td>\n",
       "      <td>-0.148122</td>\n",
       "      <td>0.029398</td>\n",
       "      <td>0.267048</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.135512</td>\n",
       "      <td>0.048858</td>\n",
       "      <td>-0.086419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>long</th>\n",
       "      <td>0.020799</td>\n",
       "      <td>0.021626</td>\n",
       "      <td>0.129473</td>\n",
       "      <td>0.223042</td>\n",
       "      <td>0.240223</td>\n",
       "      <td>0.229521</td>\n",
       "      <td>0.125419</td>\n",
       "      <td>-0.041910</td>\n",
       "      <td>-0.078400</td>\n",
       "      <td>-0.106500</td>\n",
       "      <td>0.198372</td>\n",
       "      <td>0.343803</td>\n",
       "      <td>-0.144765</td>\n",
       "      <td>0.409356</td>\n",
       "      <td>-0.068372</td>\n",
       "      <td>-0.564072</td>\n",
       "      <td>-0.135512</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.334605</td>\n",
       "      <td>0.254451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_living15</th>\n",
       "      <td>-0.002901</td>\n",
       "      <td>0.585379</td>\n",
       "      <td>0.391638</td>\n",
       "      <td>0.568634</td>\n",
       "      <td>0.756420</td>\n",
       "      <td>0.144608</td>\n",
       "      <td>0.279885</td>\n",
       "      <td>0.086463</td>\n",
       "      <td>0.280439</td>\n",
       "      <td>-0.092824</td>\n",
       "      <td>0.713202</td>\n",
       "      <td>0.731870</td>\n",
       "      <td>0.200355</td>\n",
       "      <td>0.326229</td>\n",
       "      <td>-0.002673</td>\n",
       "      <td>-0.279033</td>\n",
       "      <td>0.048858</td>\n",
       "      <td>0.334605</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.183192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sqft_lot15</th>\n",
       "      <td>-0.138798</td>\n",
       "      <td>0.082447</td>\n",
       "      <td>0.029244</td>\n",
       "      <td>0.087175</td>\n",
       "      <td>0.183286</td>\n",
       "      <td>0.718557</td>\n",
       "      <td>-0.011269</td>\n",
       "      <td>0.030703</td>\n",
       "      <td>0.072575</td>\n",
       "      <td>-0.003406</td>\n",
       "      <td>0.119248</td>\n",
       "      <td>0.194050</td>\n",
       "      <td>0.017276</td>\n",
       "      <td>0.070958</td>\n",
       "      <td>0.007854</td>\n",
       "      <td>-0.147221</td>\n",
       "      <td>-0.086419</td>\n",
       "      <td>0.254451</td>\n",
       "      <td>0.183192</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     id     price  bedrooms  bathrooms  sqft_living  sqft_lot  \\\n",
       "id             1.000000 -0.016762  0.001286   0.005160    -0.012258 -0.132109   \n",
       "price         -0.016762  1.000000  0.308350   0.525138     0.702035  0.089661   \n",
       "bedrooms       0.001286  0.308350  1.000000   0.515884     0.576671  0.031703   \n",
       "bathrooms      0.005160  0.525138  0.515884   1.000000     0.754665  0.087740   \n",
       "sqft_living   -0.012258  0.702035  0.576671   0.754665     1.000000  0.172826   \n",
       "sqft_lot      -0.132109  0.089661  0.031703   0.087740     0.172826  1.000000   \n",
       "floors         0.018525  0.256794  0.175429   0.500653     0.353949 -0.005201   \n",
       "waterfront    -0.002721  0.266369 -0.006582   0.063744     0.103818  0.021604   \n",
       "view           0.011592  0.397293  0.079532   0.187737     0.284611  0.074710   \n",
       "condition     -0.023783  0.036362  0.028472  -0.124982    -0.058753 -0.008958   \n",
       "grade          0.008130  0.667434  0.356967   0.664983     0.762704  0.113621   \n",
       "sqft_above    -0.010842  0.605567  0.477600   0.685342     0.876597  0.183512   \n",
       "sqft_basement -0.005151  0.323816  0.303093   0.283770     0.435043  0.015286   \n",
       "yr_built       0.021380  0.054012  0.154178   0.506019     0.318049  0.053080   \n",
       "yr_renovated  -0.016907  0.126434  0.018841   0.050739     0.055363  0.007644   \n",
       "zipcode       -0.008224 -0.053203 -0.152668  -0.203866    -0.199430 -0.129574   \n",
       "lat           -0.001891  0.307003 -0.008931   0.024573     0.052529 -0.085683   \n",
       "long           0.020799  0.021626  0.129473   0.223042     0.240223  0.229521   \n",
       "sqft_living15 -0.002901  0.585379  0.391638   0.568634     0.756420  0.144608   \n",
       "sqft_lot15    -0.138798  0.082447  0.029244   0.087175     0.183286  0.718557   \n",
       "\n",
       "                 floors  waterfront      view  condition     grade  \\\n",
       "id             0.018525   -0.002721  0.011592  -0.023783  0.008130   \n",
       "price          0.256794    0.266369  0.397293   0.036362  0.667434   \n",
       "bedrooms       0.175429   -0.006582  0.079532   0.028472  0.356967   \n",
       "bathrooms      0.500653    0.063744  0.187737  -0.124982  0.664983   \n",
       "sqft_living    0.353949    0.103818  0.284611  -0.058753  0.762704   \n",
       "sqft_lot      -0.005201    0.021604  0.074710  -0.008958  0.113621   \n",
       "floors         1.000000    0.023698  0.029444  -0.263768  0.458183   \n",
       "waterfront     0.023698    1.000000  0.401857   0.016653  0.082775   \n",
       "view           0.029444    0.401857  1.000000   0.045990  0.251321   \n",
       "condition     -0.263768    0.016653  0.045990   1.000000 -0.144674   \n",
       "grade          0.458183    0.082775  0.251321  -0.144674  1.000000   \n",
       "sqft_above     0.523885    0.072075  0.167649  -0.158214  0.755923   \n",
       "sqft_basement -0.245705    0.080588  0.276947   0.174105  0.168392   \n",
       "yr_built       0.489319   -0.026161 -0.053440  -0.361417  0.446963   \n",
       "yr_renovated   0.006338    0.092885  0.103917  -0.060618  0.014414   \n",
       "zipcode       -0.059121    0.030285  0.084827   0.003026 -0.184862   \n",
       "lat            0.049614   -0.014274  0.006157  -0.014941  0.114084   \n",
       "long           0.125419   -0.041910 -0.078400  -0.106500  0.198372   \n",
       "sqft_living15  0.279885    0.086463  0.280439  -0.092824  0.713202   \n",
       "sqft_lot15    -0.011269    0.030703  0.072575  -0.003406  0.119248   \n",
       "\n",
       "               sqft_above  sqft_basement  yr_built  yr_renovated   zipcode  \\\n",
       "id              -0.010842      -0.005151  0.021380     -0.016907 -0.008224   \n",
       "price            0.605567       0.323816  0.054012      0.126434 -0.053203   \n",
       "bedrooms         0.477600       0.303093  0.154178      0.018841 -0.152668   \n",
       "bathrooms        0.685342       0.283770  0.506019      0.050739 -0.203866   \n",
       "sqft_living      0.876597       0.435043  0.318049      0.055363 -0.199430   \n",
       "sqft_lot         0.183512       0.015286  0.053080      0.007644 -0.129574   \n",
       "floors           0.523885      -0.245705  0.489319      0.006338 -0.059121   \n",
       "waterfront       0.072075       0.080588 -0.026161      0.092885  0.030285   \n",
       "view             0.167649       0.276947 -0.053440      0.103917  0.084827   \n",
       "condition       -0.158214       0.174105 -0.361417     -0.060618  0.003026   \n",
       "grade            0.755923       0.168392  0.446963      0.014414 -0.184862   \n",
       "sqft_above       1.000000      -0.051943  0.423898      0.023285 -0.261190   \n",
       "sqft_basement   -0.051943       1.000000 -0.133124      0.071323  0.074845   \n",
       "yr_built         0.423898      -0.133124  1.000000     -0.224874 -0.346869   \n",
       "yr_renovated     0.023285       0.071323 -0.224874      1.000000  0.064357   \n",
       "zipcode         -0.261190       0.074845 -0.346869      0.064357  1.000000   \n",
       "lat             -0.000816       0.110538 -0.148122      0.029398  0.267048   \n",
       "long             0.343803      -0.144765  0.409356     -0.068372 -0.564072   \n",
       "sqft_living15    0.731870       0.200355  0.326229     -0.002673 -0.279033   \n",
       "sqft_lot15       0.194050       0.017276  0.070958      0.007854 -0.147221   \n",
       "\n",
       "                    lat      long  sqft_living15  sqft_lot15  \n",
       "id            -0.001891  0.020799      -0.002901   -0.138798  \n",
       "price          0.307003  0.021626       0.585379    0.082447  \n",
       "bedrooms      -0.008931  0.129473       0.391638    0.029244  \n",
       "bathrooms      0.024573  0.223042       0.568634    0.087175  \n",
       "sqft_living    0.052529  0.240223       0.756420    0.183286  \n",
       "sqft_lot      -0.085683  0.229521       0.144608    0.718557  \n",
       "floors         0.049614  0.125419       0.279885   -0.011269  \n",
       "waterfront    -0.014274 -0.041910       0.086463    0.030703  \n",
       "view           0.006157 -0.078400       0.280439    0.072575  \n",
       "condition     -0.014941 -0.106500      -0.092824   -0.003406  \n",
       "grade          0.114084  0.198372       0.713202    0.119248  \n",
       "sqft_above    -0.000816  0.343803       0.731870    0.194050  \n",
       "sqft_basement  0.110538 -0.144765       0.200355    0.017276  \n",
       "yr_built      -0.148122  0.409356       0.326229    0.070958  \n",
       "yr_renovated   0.029398 -0.068372      -0.002673    0.007854  \n",
       "zipcode        0.267048 -0.564072      -0.279033   -0.147221  \n",
       "lat            1.000000 -0.135512       0.048858   -0.086419  \n",
       "long          -0.135512  1.000000       0.334605    0.254451  \n",
       "sqft_living15  0.048858  0.334605       1.000000    0.183192  \n",
       "sqft_lot15    -0.086419  0.254451       0.183192    1.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# correlação entre as variaveis\n",
    "\n",
    "base_casas.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# correlação entre as variaveis usando o heatmap do seaborn\n",
    "\n",
    "plt.figure(figsize=(15, 10))\n",
    "fig = sns.heatmap(base_casas.corr(), annot=True, cmap='RdBu_r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 3.00000e+00,  1.00000e+00,  1.18000e+03, ...,  9.81780e+04,\n",
       "         4.75112e+01, -1.22257e+02],\n",
       "       [ 3.00000e+00,  2.25000e+00,  2.57000e+03, ...,  9.81250e+04,\n",
       "         4.77210e+01, -1.22319e+02],\n",
       "       [ 2.00000e+00,  1.00000e+00,  7.70000e+02, ...,  9.80280e+04,\n",
       "         4.77379e+01, -1.22233e+02],\n",
       "       ...,\n",
       "       [ 2.00000e+00,  7.50000e-01,  1.02000e+03, ...,  9.81440e+04,\n",
       "         4.75944e+01, -1.22299e+02],\n",
       "       [ 3.00000e+00,  2.50000e+00,  1.60000e+03, ...,  9.80270e+04,\n",
       "         4.75345e+01, -1.22069e+02],\n",
       "       [ 2.00000e+00,  7.50000e-01,  1.02000e+03, ...,  9.81440e+04,\n",
       "         4.75941e+01, -1.22299e+02]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selecionando as variaveis para o modelo\n",
    "# tamanho da casa - sqft_living\n",
    "\n",
    "X_base_casas = base_casas.iloc[ :, 3:19].values\n",
    "X_base_casas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([221900., 538000., 180000., ..., 402101., 400000., 325000.])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# seleção da variavel para o modelo\n",
    "# preço da casa - price [target]\n",
    "\n",
    "y_base_casas = base_casas.iloc[ :, 2].values\n",
    "y_base_casas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# divisão da base de dados em treino e teste\n",
    "\n",
    "X_casas_treinamento, X_casas_teste, y_casas_treinamento, y_casas_teste = train_test_split(X_base_casas, y_base_casas, test_size=0.3, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((15129, 16), (6484, 16), (15129,), (6484,))"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tamnho dos dados de treino e teste\n",
    "\n",
    "X_casas_treinamento.shape, X_casas_teste.shape, y_casas_treinamento.shape, y_casas_teste.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# normalização dos dados de treinamento e teste\n",
    "\n",
    "scaler_x_casas = StandardScaler()\n",
    "X_casas_treinamento_scaled = scaler_x_casas.fit_transform(X_casas_treinamento)\n",
    "\n",
    "scaler_y_casas = StandardScaler()\n",
    "y_casas_treinamento_scaled = scaler_y_casas.fit_transform(y_casas_treinamento.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((15129, 16), (15129, 1))"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualização do tamanho dos dados de treino\n",
    "\n",
    "X_casas_treinamento_scaled.shape, y_casas_treinamento_scaled.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# normalização dos dados de teste\n",
    "\n",
    "X_casas_teste_scaled = scaler_x_casas.transform(X_casas_teste)\n",
    "y_casas_teste_scaled = scaler_y_casas.transform(y_casas_teste.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((6484, 16), (6484, 1))"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualização do tamanho dos dados de teste\n",
    "\n",
    "X_casas_teste_scaled.shape, y_casas_teste_scaled.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MLPRegressor(hidden_layer_sizes=(9, 9), max_iter=1000)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# criação do modelo e treinamento\n",
    "# 16 neurônios entrada => 9 neurônios na camada oculta => 9 neurônios na camada oculta => 1 neurônio na camada de saída\n",
    "\n",
    "regressor_casas_nn = MLPRegressor(max_iter=1000, hidden_layer_sizes=(9, 9))\n",
    "regressor_casas_nn.fit(X_casas_treinamento_scaled, y_casas_treinamento_scaled.ravel())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.896015448676044"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# score do modelo na base de dados de treino\n",
    "\n",
    "regressor_casas_nn.score(X_casas_treinamento_scaled, y_casas_treinamento_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8809456777130138"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# score do modelo na base de dados de teste\n",
    "\n",
    "regressor_casas_nn.score(X_casas_teste_scaled, y_casas_teste_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.56868841,  3.32366971, -0.04191729, ..., -0.32169935,\n",
       "       -0.85267364, -0.80309587])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# previsão dos dados de teste\n",
    "\n",
    "previsoes_casas = regressor_casas_nn.predict(X_casas_teste_scaled)\n",
    "previsoes_casas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.66623646],\n",
       "       [ 2.83715179],\n",
       "       [ 0.05878167],\n",
       "       ...,\n",
       "       [-0.43924097],\n",
       "       [-0.74554814],\n",
       "       [-0.91511104]])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dados reais\n",
    "\n",
    "y_casas_teste_scaled"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# desescalonamento dos dados \n",
    "\n",
    "y_casas_teste_inversed = scaler_y_casas.inverse_transform(y_casas_teste_scaled)\n",
    "previsoes_casas_inversed = scaler_y_casas.inverse_transform(previsoes_casas.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 297000.],\n",
       "       [1578000.],\n",
       "       [ 562100.],\n",
       "       ...,\n",
       "       [ 380000.],\n",
       "       [ 268000.],\n",
       "       [ 206000.]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dados reais\n",
    "\n",
    "y_casas_teste_inversed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 332668.05922487],\n",
       "       [1755893.34354049],\n",
       "       [ 525279.82433798],\n",
       "       ...,\n",
       "       [ 422978.62730104],\n",
       "       [ 228829.98631699],\n",
       "       [ 246957.90012376]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dados previstos\n",
    "\n",
    "previsoes_casas_inversed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "76397.20730849747"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# erro médio quadrático\n",
    "\n",
    "mean_absolute_error(y_casas_teste_inversed, previsoes_casas_inversed)"
   ]
  }
 ],
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