{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 11</font>\n",
    "\n",
    "## Download: http://github.com/dsacademybr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prevendo a Ocorrência de Diabetes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('Workflow.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conjunto de Dados do Repositório de Machine Learning da UCI / Kaggle\n",
    "https://www.kaggle.com/uciml/pima-indians-diabetes-database/data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importando os módulos\n",
    "import pandas as pd                 \n",
    "import matplotlib.pyplot as plt    \n",
    "import numpy as np                \n",
    "%matplotlib inline             "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Carregando o dataset\n",
    "df = pd.read_csv(\"pima-data.csv\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(768, 10)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando o formato dos dados\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>num_preg</th>\n",
       "      <th>glucose_conc</th>\n",
       "      <th>diastolic_bp</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>diab_pred</th>\n",
       "      <th>age</th>\n",
       "      <th>skin</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1.3790</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>1.1426</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1.3790</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_preg  glucose_conc  diastolic_bp  thickness  insulin   bmi  diab_pred  \\\n",
       "0         6           148            72         35        0  33.6      0.627   \n",
       "1         1            85            66         29        0  26.6      0.351   \n",
       "2         8           183            64          0        0  23.3      0.672   \n",
       "3         1            89            66         23       94  28.1      0.167   \n",
       "4         0           137            40         35      168  43.1      2.288   \n",
       "\n",
       "   age    skin  diabetes  \n",
       "0   50  1.3790      True  \n",
       "1   31  1.1426     False  \n",
       "2   32  0.0000      True  \n",
       "3   21  0.9062     False  \n",
       "4   33  1.3790      True  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando as primeiras linhas do dataset\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>num_preg</th>\n",
       "      <th>glucose_conc</th>\n",
       "      <th>diastolic_bp</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>diab_pred</th>\n",
       "      <th>age</th>\n",
       "      <th>skin</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>180</td>\n",
       "      <td>32.9</td>\n",
       "      <td>0.171</td>\n",
       "      <td>63</td>\n",
       "      <td>1.8912</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>2</td>\n",
       "      <td>122</td>\n",
       "      <td>70</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>0.340</td>\n",
       "      <td>27</td>\n",
       "      <td>1.0638</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>5</td>\n",
       "      <td>121</td>\n",
       "      <td>72</td>\n",
       "      <td>23</td>\n",
       "      <td>112</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.245</td>\n",
       "      <td>30</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>1</td>\n",
       "      <td>126</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>0.349</td>\n",
       "      <td>47</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>1</td>\n",
       "      <td>93</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>0.315</td>\n",
       "      <td>23</td>\n",
       "      <td>1.2214</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     num_preg  glucose_conc  diastolic_bp  thickness  insulin   bmi  \\\n",
       "763        10           101            76         48      180  32.9   \n",
       "764         2           122            70         27        0  36.8   \n",
       "765         5           121            72         23      112  26.2   \n",
       "766         1           126            60          0        0  30.1   \n",
       "767         1            93            70         31        0  30.4   \n",
       "\n",
       "     diab_pred  age    skin  diabetes  \n",
       "763      0.171   63  1.8912     False  \n",
       "764      0.340   27  1.0638     False  \n",
       "765      0.245   30  0.9062     False  \n",
       "766      0.349   47  0.0000      True  \n",
       "767      0.315   23  1.2214     False  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando as últimas linhas do dataset\n",
    "df.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando se existem valores nulos\n",
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identificando a correlação entre as variáveis\n",
    "# Correlação não implica causalidade\n",
    "def plot_corr(df, size=10):\n",
    "    corr = df.corr()    \n",
    "    fig, ax = plt.subplots(figsize = (size, size))\n",
    "    ax.matshow(corr)  \n",
    "    plt.xticks(range(len(corr.columns)), corr.columns) \n",
    "    plt.yticks(range(len(corr.columns)), corr.columns)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Quss5Bp1TVa8ZRz3Shs6wJ0mS1DC/jStJktQww54kSVLDDHsbmf7PYjSp1X1zvzY+re6b+7XxaXXf3K/RMuxtfDbIA2mOtLpv7tfGp9V9c782Pq3um/s1QoY9SZKkhvlt3Dmw3bbzavEOo/lfla745e3c9z7D/IPuv3Xp2rn8X91md+st17PpZotGs7GZ/ifdOTbK/drk2ptGsh2AW+omNsuC2TtuhEa6b5uN7n9ku+X2G9hs3uaj2djtt49mO8Atd9zIZpssHNn2bnrg6J6z26+9nnlbjub9Y8FPb5690xwZ9fvHbfcezfFx203XM3/BiH6PATf88udXVtV9Z+vnH1WeA4t32JQLTtth3GXMuf0PecW4SxiamjfCtDdCC1d8b9wlDM+80XzIGbU88PfHXcJQ5NfXjruEobn0mPuPu4Sh2PnQS8ddwtD86hkz/XfrG6+VH/6fP12Xfp7GlSRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYffIsJdk/rhrkCRJGoWRhL0ki5P8IMnxSb6X5PQkC5OsSLKk77NdkrX98suSfC7JF5JcluS1Sd6Y5LtJvp1k2xm2tSLJvyQ5N8maJHv37cuSLE9yOvCRJPOSvDPJhUlWJ3ll32+TJO/r6/xiki8nOWj4j5IkSdLcG+XM3s7Ae6vq4cCvgQNn6b8b8AJgb+AY4Iaq2gM4D3jJLPddVFX7Aq8GThxo3xM4oKpeALwcuLqq9gL2Ag5N8mDgOcBi4BHAK4B91nkPJUmSNjCjPJ15WVWt6pe/QxeoZnJmVV0LXJvkauALffslwCNnue8nAarqrCRbJdmmbz+1qm7sl58KPHJg1m5rukD6OODTVXUH8F9JzpxqA0kOAw4D2PEBnhWWJEkbplHO7N08sHw7XdC8baCGBTP0v2Pg9h3MHlJrmtvXD7QFeF1V7d7/PLiqTu/bZ1VVy6tqSVUtue995q3LXSRJkkZu3F/QWEt3ahVgLq+LOxggyePoTtVePUWf04BXJdm077tLkkXAt4AD+2v37gcsncO6JEmSRmrc5x+PBf5PkhcD35jDca9Kci6wFfBn0/Q5ge5U8kVJAlwBPAs4GXgSsAb4EXA+MFVYlCRJ2uCNJOxV1Vq6L1xM3D52YPXg9XdH9etPAk4a6L94YPl31k3j5Kp606Qalk26fQfw1/3P70hyZFVdl+Q+wAV01wlKkiRtdMY9s7eh+mL/pY7NgLdV1X+NuyBJkqS7Y6MNe0neCzx2UvO7qmrp+o49F2NIkiRtCDbasFdVrxl3DZIkSRu6cX8bV5IkSUNk2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElq2PxxF9CCS9dux/6HvGLcZcy5Mz90wrhLGJonvPKwcZcwFLXrTuMuYWh+/qStxl3CUCy6vMZdwlAsvHKbcZcwNFuf1eavzpbfP67Y+45xlzAcH163bs7sSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNexuh70kJyU5aC6LkSRJ0txyZk+SJKlh6xT2kvxNkh8m+VqSTyY5ctL6tUm265eXJFnRL2+R5ENJLkmyOsmBffvz+7Y1Sd7Rt83rZwvX9Ove0Lf/QZKvJvlOkrOTPGyGOu+X5JQkF/c/+/btb+zHXZPk9X3b4iQ/SHJ8ku8lOT3Jwn7dQ5J8vR/joiR/MMW2DkuyMsnKW2+5fl0eRkmSpJGbP1uHJEuAA4E9+v4XAd9Zx/H/Bri6qh7Rj3XvJNsD7wD2BK4CTk/yLOBnwAOqare+7zb9GMuBw6vqx0n+CHgf8MRptvdu4JtV9ewk84AtkuwJHAL8ERDg/CTf7Le9M/D8qjo0yf/p9/NjwMeBt1fVKUkWMEUorqrlfW1sufUDax0fD0mSpJGaNewBjwM+X1U3AiT5wl0Y/8nA8yZuVNVVSR4PrKiqK/rxPg48HngbsFOS9wBfoguBWwD7Ap9OMjHMvWbY3hOBl/Tbuh24OsnjgFOq6vp+e58F9gNOBS6rqlX9fb8DLE6yJV3oPKUf56a7sL+SJEkblHUJe5m9C7fx29mvBZPuO3nWa8rx+iD4KOCPgdcA/x/weuDXVbX7OtQwnZnqv3lg+XZg4Sz9JUmSNirrcs3et4BnJlnQz7Q9fYo+a+lOy0J3KnTC6cBrJ24kuTdwPvCEJNv1p1qfD3yzv+Zvk6o6me7076Or6hrgsiTP7e+fPhBO5wzgVX3feUm2As4CnpVk8ySLgGcDZ083QL/Nn/enlklyrySbz7BNSZKkDdasYa+qLqQ75Xkx8FlgJXD1pG5/C7wrydl0M2QT/g64d//FiIuB/avqP4E3AWf2Y15UVZ8HHgCsSLIKOKnvA/BC4OX9/b8HHDBDuX8O7J/kErrTsg+vqov68S6gC5onVNV3Z9ntFwNHJFkNnAv8/iz9JUmSNkjrchoX4NiqWtbPcJ0F/GNVHT+xsqrOBnaZfKequg546RTtnwA+MantYuDRU/S9DPiTdSmyqv6bKcJgVf0T8E+T2tYCuw3cPnZg+cdM/yUQSZKkjca6hr3lSXalux7vw/1smSRJkjZw6xT2quoFwy7krkjyZuC5k5o/XVXHjKMeSZKkDdW6zuxtUPpQZ7CTJEmahf9dmiRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLD5o+7gCYEal7GXcWce8IrDxt3CUPzzQ8uH3cJQ7HPkYePu4Shuf85N4y7hKG48lGbj7uEodh29XXjLmForr//NuMuYSiu3mWLcZcwNDt/5PpxlzAUP13Hfs7sSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDZs/l4MlWQZcB2wFnFVVX7+L918K3FJV567Ldqrq2CRvvavbSvIyYElVvfau1CdJkrSxmdOwN6Gqjr6bd11KFxZnDHtztC1JkqTmrfdp3CRvTnJpkq8DD+3bTkpyUL98dJILk6xJsjxJ+vYjknw/yeok/5ZkMXA48IYkq5Lsl+RBSc7o+5yRZMcptj+4rb2SnJvk4iQXJNlyhtJ3SPLVvva39PdfnOSHST7cb/MzSTZf38dIkiRpXNYr7CXZE3gesAfwHGCvKbodV1V7VdVuwELgGX37XwF7VNUjgcOrai3wAeCfq2r3qjobOA74SN/n48C7Z6hlM+BTwJ9X1aOAJwM3zlD+3sALgd2B5yZZ0rc/FFjeb/Ma4NXTbO+wJCuTrLz1lutn2IwkSdL4rO/M3n7AKVV1Q1VdA5w6RZ/9k5yf5BLgicDD+/bVwMeTvAi4bZrx9wE+0S9/FHjcDLU8FPjPqroQoKquqarpxgX4WlX9sqpuBD47MPbPquqcfvlj022zqpZX1ZKqWrLpZotm2IwkSdL4zMW3cWu6FUkWAO8DDqqqRwDHAwv61U8H3gvsCXwnybpcPzjttoDMsn62sWqWdkmSpI3O+oa9s4BnJ1nYXx/3zEnrJ4LdlUm2ACaurdsE2KGqzgT+EtgG2AK4Fhi8zu5cutPE0J1y/dYMtfwQ2D7JXv02tpwlQD4lybZJFgLPAiZm83ZMsk+//PxZtilJkrRBW69v41bVRUk+BawCfgqcPWn9r5McD1wCrAUu7FfNAz6WZGu6Gbl/7vt+AfhMkgOA1wFHACcm+QvgCuCQGWq5JcnBwHv6AHcj3XV7101zl2/RnRp+CPCJqlrZf0nkB8BLk3wQ+DHw/rvwkEiSJG1Q1vtPr1TVMcAxM6w/CjhqilV3uhauqn4EPHJS8xOn6LdsYPllA8sXAo9Zh5pPAk6aZvUdVXX4bGNIkiRtDPwfNCRJkho2lD+qvKFI8sfAOyY1X1ZVz56qf//nX3Ybdl2SJEmj0nTYq6rTgNPGXYckSdK4eBpXkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWHzx11ACza59iYWrvjeuMuYc7XrTuMuYWj2OfLwcZcwFOcd+4FxlzA0D/lkm8/ZvBtr3CUMxTW7bDXuEoZm2xPPG3cJQ3Ha5avGXcLQPPXAl467hLFyZk+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkho20rCXZJskr+6Xlyb54jT9Tkiy6wzjLEty5LDqlCRJasWoZ/a2AV49W6eqekVVfX8E9UiSJDVt1GHv7cAfJFkFvBPYIslnkvwwyceTBCDJiiRL+uU/SXJRkouTnDF5wCSHJvlKkoX9/d6R5IIkP0qyX99nXpJ3Jrkwyeokr+zb75/krCSrkqxJsl/f96T+9iVJ3jCyR0eSJGmOzR/x9v4K2K2qdk+yFPg88HDgcuAc4LHAtyY6J7kvcDzw+Kq6LMm2g4MleS3wVOBZVXVznxXnV9XeSf4UeAvwZODlwNVVtVeSewHnJDkdeA5wWlUdk2QesDmwO/CAqtqt38Y2w3owJEmShm3UYW+yC6rq5wD9bN9iBsIe8BjgrKq6DKCqfjWw7sXAz+mC3q0D7Z/t//1OPx50gfCRSQ7qb28N7AxcCJyYZFPgc1W1KslPgJ2SvAf4EnD6VIUnOQw4DGBBFt3F3ZYkSRqNcX8b9+aB5du5c/gMUNPcdw1dmHvgNGMOjhfgdVW1e//z4Ko6varOAh4P/Afw0SQvqaqrgEcBK4DXACdMtfGqWl5VS6pqyWZZMMtuSpIkjceow961wJZ3of95wBOSPBhg0mnc7wKvBE5Nsv0s45wGvKqfwSPJLkkWJXkQ8IuqOh74V+DRSbYDNqmqk4G/AR59F+qVJEnaoIz0NG5V/TLJOUnWADcC/z1L/yv606WfTbIJ8AvgKQPrv9X/CZYvJXnKdOPQzc4tBi7qvwRyBfAsYCnwF0luBa4DXgI8APhQvz2AN931PZUkSdowjPyavap6wTTtrx1YXjqw/BXgK5P6LhtYPo1u5g668DbRfiX9NXtVdQfw1/3PoA/3P5M5mydJkpow7mv2JEmSNESGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYfPHXUAz5s0bdwVz7udP2mrcJQzN/c+5YdwlDMVDPnn4uEsYmn9//gfGXcJQ7PvGdp+zVs273++Nu4ShaPn9Y4etbx93CWPlzJ4kSVLDDHtPvrPrAAASzklEQVSSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktSwjSbsJTl3jsdbnGRNv7wkybvncnxJkqQNwfxxF7CuqmrfIY69Elg5rPElSZLGZWOa2buu/3dpkhVJPpPkh0k+niT9urcn+X6S1UmO7dtOSnLQ5HEmjb00yRf75WVJTuy38ZMkR4xmDyVJkubeRjOzN8kewMOBy4FzgMcm+T7wbOBhVVVJtlmP8R8G7A9sCVya5P1VdetghySHAYcBLMii9diUJEnS8Gw0M3uTXFBVP6+qO4BVwGLgGuAm4IQkzwFuWI/xv1RVN1fVlcAvgPtN7lBVy6tqSVUt2SwL1mNTkiRJw7Oxhr2bB5ZvB+ZX1W3A3sDJwLOAr/brb6Pfz/5072Z3Z/z1LViSJGkcNtawdydJtgC2rqovA68Hdu9XrQX27JcPADYdfXWSJEnj0dKM1ZbA55MsAAK8oW8/vm+/ADgDuH5M9UmSJI3cRhP2qmqL/t8VwIqB9tcOdNt7ivv9N/CYgaY39e1rgd0mj1lVyybdf7f1rV2SJGlcmjmNK0mSpDsz7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDZs/7gKasNmm5IG/P+4q5tyiy2vcJQzNlY/afNwlDMW8G9t9zvZ94+HjLmEozv2nD4y7hKFY+opDx13C0NT9th13CUMx78aMu4ShuWqXTcddwnB8Zd26ObMnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNaz7sJVmcZM3dvO/2ST4z1zVJkiSNyvxxF7Ahq6rLgYPGXYckSdLd1fzMXm9+kg8nWZ3kM0k2T7I2yd8nOS/JyiSPTnJakv+b5HBYv1lBSZKkDcE9Jew9FFheVY8ErgFe3bf/rKr2Ac4GTqKbxXsM8NZxFClJkjTX7imncX9WVef0yx8DjuiXT+3/vQTYoqquBa5NclOSbWYaMMlhwGEACzbdagglS5Ikrb97ysxeTXP75v7fOwaWJ27PGISranlVLamqJZvN23xuqpQkSZpj95Swt2OSffrl5wPfGmcxkiRJo3JPCXs/AF6aZDWwLfD+MdcjSZI0Es1fs1dVa4Fdp1i1eKDPSXRf0Ji4PbHuSmC3YdUmSZI0bPeUmT1JkqR7JMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktSw+eMuoAm3305+fe24q5hzC6/cZtwlDM22q68bdwlDcc0uW427BN1FS19x6LhLGIoVJxw/7hKG5mlPfd64SxiK7S6+Y9wlDE3a3bV14syeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUsLGEvSTLkhyZ5K1JnjxL3xVJloyqtknbflmS48axbUmSpLkwf5wbr6qjR73NJPOq6vZRb1eSJGkcRjazl+TNSS5N8nXgoX3bSUkO6pePTnJhkjVJlifJwN1flOTcft3eM2xjWZKPJvlGkh8nObRvX5rkzCSfAC7p216U5IIkq5J8MMm8vv2QJD9K8k3gscN5NCRJkkZjJGEvyZ7A84A9gOcAe03R7biq2quqdgMWAs8YWLeoqvYFXg2cOMvmHgk8HdgHODrJ9n373sCbq2rXJH8IHAw8tqp2B24HXpjk/sDf0oW8pwC7zrBPhyVZmWTlLXfcOEtJkiRJ4zGqmb39gFOq6oaqugY4dYo++yc5P8klwBOBhw+s+yRAVZ0FbJVkmxm29fmqurGqrgTOpAt5ABdU1WX98pOAPYELk6zqb+8E/BGwoqquqKpbgE9Nt5GqWl5VS6pqyWabLJxl9yVJksZjlNfs1XQrkiwA3gcsqaqfJVkGLJjhvtOONUPf6wc3CXy4qt40qY5nzTK2JEnSRmVUM3tnAc9OsjDJlsAzJ62fCHZXJtkCOGjS+oMBkjwOuLqqrp5hWwckWZDkPsBS4MIp+pwBHJTk9/pxt03yIOB8YGmS+yTZFHjuuu+iJEnShmckM3tVdVGSTwGrgJ8CZ09a/+skx9N9eWItdw5oVyU5F9gK+LNZNncB8CVgR+BtVXV5kl0mbe/7SY4CTk+yCXAr8Jqq+nY/q3ge8J/ARcC8u7q/kiRJG4qRncatqmOAY2ZYfxRw1BTtS+/ipn5UVYdNGmMFsGJS26eY4pq8qvoQ8KG7uE1JkqQNkv+DhiRJUsPG+keV764khwB/Pqn5nKp6zTjqkSRJ2lBtlGHPU62SJEnrxtO4kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDVs/rgLaMFND9yUS4+5/7jLmHNbn9Xu4XH9/bcZdwlDse2J5427hKGZd7/fG3cJQ1H323bcJQzF0576vHGXMDRfOf3fxl3CUPzx9ruPu4Sh+dUh+4y7hLFyZk+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlh94iwl+RzSb6T5HtJDuvbXp7kR0lWJDk+yXF9+32TnJzkwv7nseOtXpIk6e6bP+4CRuTPqupXSRYCFyb5EvA3wKOBa4FvABf3fd8F/HNVfSvJjsBpwB9OHrAPjYcBzNtu6xHsgiRJ0l13Twl7RyR5dr+8A/Bi4JtV9SuAJJ8GdunXPxnYNcnEfbdKsmVVXTs4YFUtB5YD3GunB9SQ65ckSbpbmg97SZbSBbh9quqGJCuAS5litq63Sd/3xtFUKEmSNDz3hGv2tgau6oPew4DHAJsDT0hy7yTzgQMH+p8OvHbiRpLdR1qtJEnSHLonhL2vAvOTrAbeBnwb+A/g74Hzga8D3weu7vsfASxJsjrJ94HDR1+yJEnS3Gj+NG5V3Qw8bXJ7kpVVtbyf2TuFbkaPqroSOHi0VUqSJA3HPWFmbzrLkqwC1gCXAZ8bcz2SJElzrvmZvelU1ZHjrkGSJGnY7skze5IkSc0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUsPnjLqAFC356Mzsfeum4y5hztetO4y5haK7eZYtxlzAUp12+atwlDM1DPnn4uEsYink3ZtwlDMV2F98x7hKG5o+3333cJQxFy+8fTz3wUeMuYayc2ZMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIbdo8JekrVJtpui/dxx1CNJkjRs96iwN52q2nfcNUiSJA1Ds2EvyaIkX0pycZI1SQ4eWLcwyVeTHNrfvq7/d2mSFUk+k+SHST6eJOPaB0mSpPXVbNgD/gS4vKoeVVW7AV/t27cAvgB8oqqOn+J+ewCvB3YFdgIeO4piJUmShqHlsHcJ8OQk70iyX1Vd3bd/HvhQVX1kmvtdUFU/r6o7gFXA4qk6JTksycokK2+pm+a8eEmSpLnQbNirqh8Be9KFvn9IcnS/6hzgaTOcnr15YPl2YP404y+vqiVVtWSzLJirsiVJkuZUs2EvyfbADVX1MeBY4NH9qqOBXwLvG1dtkiRJo9Js2AMeAVyQZBXwZuDvBta9HliQ5H+PpTJJkqQRmfIUZQuq6jTgtEnNiweWDxnou0X/7wpgxUD7a4dWoCRJ0gi0PLMnSZJ0j2fYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYYY9SZKkhhn2JEmSGmbYkyRJaphhT5IkqWGGPUmSpIYZ9iRJkhpm2JMkSWqYYU+SJKlhhj1JkqSGGfYkSZIalqoadw0bvUXb7VC7PuMN4y5jzl2x9x3jLmFodv7IDeMuYShqXruf327derNxlzAUV+2y6bhLGIot/uP2cZcwNDdv1ebr7N4/bPN9EeD0kz887hKGYt79//07VbVktn5tHrGSJEkCDHuSJElNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktSw+eMuYLIky4DrgK2As6rq6zP0XQEcWVUr13Hs3YHtq+rLc1CqJEnSBm+DC3sTquroIQy7O7AEMOxJkqR7hA3iNG6SNye5NMnXgYf2bSclOahfPjrJhUnWJFmeJAN3f1GSc/t1e/f9FyU5sb/Pd5MckGQz4K3AwUlWJTl4qn79/R+e5IK+3+okO4/2EZEkSZobYw97SfYEngfsATwH2GuKbsdV1V5VtRuwEHjGwLpFVbUv8GrgxL7tzcA3qmovYH/gncCmwNHAp6pq96r61FT9kiwCDgfeVVUTM4E/n6Luw5KsTLLytpuuX89HQZIkaTg2hNO4+wGnVNUNAElOnaLP/kn+Etgc2Bb4HvCFft0nAarqrCRbJdkGeCrwP5Ic2fdZAOw4xbjT9TsPeHOSBwKfraofT75jVS0HlgMs2m6Huov7LEmSNBIbQtgDmDYsJVkAvA9YUlU/67/AsWCG+xYQ4MCqunTSWH80efip+gE/SHI+8HTgtCSvqKpvrPPeSJIkbSDGfhoXOAt4dpKFSbYEnjlp/USwuzLJFsBBk9YfDJDkccDVVXU1cBrwuolr+5Ls0fe9Fthy4L5T9kuyE/CTqno3cCrwyPXfTUmSpNEbe9irqouATwGrgJOBsyet/zVwPHAJ8DngwklDXJXkXOADwMv7trfRXaO3Osma/jbAmcCuE1/QmKHfwcCaJKuAhwEfmaPdlSRJGqkN4jRuVR0DHDPD+qOAo6ZoXzpN/xuBV07R/ivu/AWQqfr9A/APMxYtSZK0ERj7zJ4kSZKGx7AnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDXMsCdJktQww54kSVLDDHuSJEkNM+xJkiQ1zLAnSZLUMMOeJElSwwx7kiRJDTPsSZIkNcywJ0mS1DDDniRJUsMMe5IkSQ0z7EmSJDUsVTXuGjZ6Sa4AfjqizW0HXDmibY1aq/vmfm18Wt0392vj0+q+uV9z40FVdd/ZOhn2NjJJVlbVknHXMQyt7pv7tfFpdd/cr41Pq/vmfo2Wp3ElSZIaZtiTJElqmGFv47N83AUMUav75n5tfFrdN/dr49PqvrlfI+Q1e5IkSQ1zZk+SJKlhhj1JkqSGGfYkSZIaZtiTJElqmGFPkiSpYf8/UCEzi0dU3FkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e296d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando o gráfico\n",
    "plot_corr(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>num_preg</th>\n",
       "      <th>glucose_conc</th>\n",
       "      <th>diastolic_bp</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>diab_pred</th>\n",
       "      <th>age</th>\n",
       "      <th>skin</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>num_preg</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.129459</td>\n",
       "      <td>0.141282</td>\n",
       "      <td>-0.081672</td>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.017683</td>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.544341</td>\n",
       "      <td>-0.081672</td>\n",
       "      <td>0.221898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>glucose_conc</th>\n",
       "      <td>0.129459</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.466581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diastolic_bp</th>\n",
       "      <td>0.141282</td>\n",
       "      <td>0.152590</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>0.065068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>thickness</th>\n",
       "      <td>-0.081672</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.074752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insulin</th>\n",
       "      <td>-0.073535</td>\n",
       "      <td>0.331357</td>\n",
       "      <td>0.088933</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>0.130548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bmi</th>\n",
       "      <td>0.017683</td>\n",
       "      <td>0.221071</td>\n",
       "      <td>0.281805</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.197859</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.292695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diab_pred</th>\n",
       "      <td>-0.033523</td>\n",
       "      <td>0.137337</td>\n",
       "      <td>0.041265</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>0.185071</td>\n",
       "      <td>0.140647</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>0.173844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.544341</td>\n",
       "      <td>0.263514</td>\n",
       "      <td>0.239528</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>-0.042163</td>\n",
       "      <td>0.036242</td>\n",
       "      <td>0.033561</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>0.238356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skin</th>\n",
       "      <td>-0.081672</td>\n",
       "      <td>0.057328</td>\n",
       "      <td>0.207371</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.436783</td>\n",
       "      <td>0.392573</td>\n",
       "      <td>0.183928</td>\n",
       "      <td>-0.113970</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.074752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diabetes</th>\n",
       "      <td>0.221898</td>\n",
       "      <td>0.466581</td>\n",
       "      <td>0.065068</td>\n",
       "      <td>0.074752</td>\n",
       "      <td>0.130548</td>\n",
       "      <td>0.292695</td>\n",
       "      <td>0.173844</td>\n",
       "      <td>0.238356</td>\n",
       "      <td>0.074752</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              num_preg  glucose_conc  diastolic_bp  thickness   insulin  \\\n",
       "num_preg      1.000000      0.129459      0.141282  -0.081672 -0.073535   \n",
       "glucose_conc  0.129459      1.000000      0.152590   0.057328  0.331357   \n",
       "diastolic_bp  0.141282      0.152590      1.000000   0.207371  0.088933   \n",
       "thickness    -0.081672      0.057328      0.207371   1.000000  0.436783   \n",
       "insulin      -0.073535      0.331357      0.088933   0.436783  1.000000   \n",
       "bmi           0.017683      0.221071      0.281805   0.392573  0.197859   \n",
       "diab_pred    -0.033523      0.137337      0.041265   0.183928  0.185071   \n",
       "age           0.544341      0.263514      0.239528  -0.113970 -0.042163   \n",
       "skin         -0.081672      0.057328      0.207371   1.000000  0.436783   \n",
       "diabetes      0.221898      0.466581      0.065068   0.074752  0.130548   \n",
       "\n",
       "                   bmi  diab_pred       age      skin  diabetes  \n",
       "num_preg      0.017683  -0.033523  0.544341 -0.081672  0.221898  \n",
       "glucose_conc  0.221071   0.137337  0.263514  0.057328  0.466581  \n",
       "diastolic_bp  0.281805   0.041265  0.239528  0.207371  0.065068  \n",
       "thickness     0.392573   0.183928 -0.113970  1.000000  0.074752  \n",
       "insulin       0.197859   0.185071 -0.042163  0.436783  0.130548  \n",
       "bmi           1.000000   0.140647  0.036242  0.392573  0.292695  \n",
       "diab_pred     0.140647   1.000000  0.033561  0.183928  0.173844  \n",
       "age           0.036242   0.033561  1.000000 -0.113970  0.238356  \n",
       "skin          0.392573   0.183928 -0.113970  1.000000  0.074752  \n",
       "diabetes      0.292695   0.173844  0.238356  0.074752  1.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualizando a correlação em tabela\n",
    "# Coeficiente de correlação: \n",
    "# +1  = forte correlação positiva\n",
    "# 0   = não há correlação\n",
    "# -1  = forte correlação negativa\n",
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definindo as classes\n",
    "diabetes_map = {True : 1, False : 0}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aplicando o mapeamento ao dataset\n",
    "df['diabetes'] = df['diabetes'].map(diabetes_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>num_preg</th>\n",
       "      <th>glucose_conc</th>\n",
       "      <th>diastolic_bp</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>diab_pred</th>\n",
       "      <th>age</th>\n",
       "      <th>skin</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1.3790</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>1.1426</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1.3790</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_preg  glucose_conc  diastolic_bp  thickness  insulin   bmi  diab_pred  \\\n",
       "0         6           148            72         35        0  33.6      0.627   \n",
       "1         1            85            66         29        0  26.6      0.351   \n",
       "2         8           183            64          0        0  23.3      0.672   \n",
       "3         1            89            66         23       94  28.1      0.167   \n",
       "4         0           137            40         35      168  43.1      2.288   \n",
       "\n",
       "   age    skin  diabetes  \n",
       "0   50  1.3790         1  \n",
       "1   31  1.1426         0  \n",
       "2   32  0.0000         1  \n",
       "3   21  0.9062         0  \n",
       "4   33  1.3790         1  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando as primeiras linhas do dataset\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de Casos Verdadeiros: 268 (34.90%)\n",
      "Número de Casos Falsos     : 500 (65.10%)\n"
     ]
    }
   ],
   "source": [
    "# Verificando como os dados estão distribuídos\n",
    "num_true = len(df.loc[df['diabetes'] == True])\n",
    "num_false = len(df.loc[df['diabetes'] == False])\n",
    "print(\"Número de Casos Verdadeiros: {0} ({1:2.2f}%)\".format(num_true, (num_true/ (num_true + num_false)) * 100))\n",
    "print(\"Número de Casos Falsos     : {0} ({1:2.2f}%)\".format(num_false, (num_false/ (num_true + num_false)) * 100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spliting\n",
    "\n",
    "70% para dados de treino e 30% para dados de teste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('Treinamento.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seleção de variáveis preditoras (Feature Selection)\n",
    "atributos = ['num_preg', 'glucose_conc', 'diastolic_bp', 'thickness', 'insulin', 'bmi', 'diab_pred', 'age']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Variável a ser prevista\n",
    "atrib_prev = ['diabetes']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criando objetos\n",
    "X = df[atributos].values\n",
    "Y = df[atrib_prev].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n",
       "       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n",
       "       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n",
       "       ...,\n",
       "       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n",
       "       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n",
       "       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Definindo a taxa de split\n",
    "split_test_size = 0.30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criando dados de treino e de teste\n",
    "X_treino, X_teste, Y_treino, Y_teste = train_test_split(X, Y, test_size = split_test_size, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "69.92% nos dados de treino\n",
      "30.08% nos dados de teste\n"
     ]
    }
   ],
   "source": [
    "# Imprimindo os resultados\n",
    "print(\"{0:0.2f}% nos dados de treino\".format((len(X_treino)/len(df.index)) * 100))\n",
    "print(\"{0:0.2f}% nos dados de teste\".format((len(X_teste)/len(df.index)) * 100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  1.   ,  95.   ,  60.   , ...,  23.9  ,   0.26 ,  22.   ],\n",
       "       [  5.   , 105.   ,  72.   , ...,  36.9  ,   0.159,  28.   ],\n",
       "       [  0.   , 135.   ,  68.   , ...,  42.3  ,   0.365,  24.   ],\n",
       "       ...,\n",
       "       [ 10.   , 101.   ,  86.   , ...,  45.6  ,   1.136,  38.   ],\n",
       "       [  0.   , 141.   ,   0.   , ...,  42.4  ,   0.205,  29.   ],\n",
       "       [  0.   , 125.   ,  96.   , ...,  22.5  ,   0.262,  21.   ]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_treino"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verificando o Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original True : 268 (34.90%)\n",
      "Original False : 500 (65.10%)\n",
      "\n",
      "Training True : 188 (35.01%)\n",
      "Training False : 349 (64.99%)\n",
      "\n",
      "Test True : 80 (34.63%)\n",
      "Test False : 151 (65.37%)\n"
     ]
    }
   ],
   "source": [
    "print(\"Original True : {0} ({1:0.2f}%)\".format(len(df.loc[df['diabetes'] == 1]), \n",
    "                                               (len(df.loc[df['diabetes'] ==1])/len(df.index) * 100)))\n",
    "\n",
    "print(\"Original False : {0} ({1:0.2f}%)\".format(len(df.loc[df['diabetes'] == 0]), \n",
    "                                               (len(df.loc[df['diabetes'] == 0])/len(df.index) * 100)))\n",
    "print(\"\")\n",
    "print(\"Training True : {0} ({1:0.2f}%)\".format(len(Y_treino[Y_treino[:] == 1]), \n",
    "                                               (len(Y_treino[Y_treino[:] == 1])/len(Y_treino) * 100)))\n",
    "\n",
    "print(\"Training False : {0} ({1:0.2f}%)\".format(len(Y_treino[Y_treino[:] == 0]), \n",
    "                                               (len(Y_treino[Y_treino[:] == 0])/len(Y_treino) * 100)))\n",
    "print(\"\")\n",
    "print(\"Test True : {0} ({1:0.2f}%)\".format(len(Y_teste[Y_teste[:] == 1]), \n",
    "                                               (len(Y_teste[Y_teste[:] == 1])/len(Y_teste) * 100)))\n",
    "\n",
    "print(\"Test False : {0} ({1:0.2f}%)\".format(len(Y_teste[Y_teste[:] == 0]), \n",
    "                                               (len(Y_teste[Y_teste[:] == 0])/len(Y_teste) * 100)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Valores Missing Ocultos\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando se existem valores nulos\n",
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>num_preg</th>\n",
       "      <th>glucose_conc</th>\n",
       "      <th>diastolic_bp</th>\n",
       "      <th>thickness</th>\n",
       "      <th>insulin</th>\n",
       "      <th>bmi</th>\n",
       "      <th>diab_pred</th>\n",
       "      <th>age</th>\n",
       "      <th>skin</th>\n",
       "      <th>diabetes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
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       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
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       "      <td>1.3790</td>\n",
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       "    </tr>\n",
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       "      <th>1</th>\n",
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       "      <td>26.6</td>\n",
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       "      <td>1.1426</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
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       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1.3790</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   num_preg  glucose_conc  diastolic_bp  thickness  insulin   bmi  diab_pred  \\\n",
       "0         6           148            72         35        0  33.6      0.627   \n",
       "1         1            85            66         29        0  26.6      0.351   \n",
       "2         8           183            64          0        0  23.3      0.672   \n",
       "3         1            89            66         23       94  28.1      0.167   \n",
       "4         0           137            40         35      168  43.1      2.288   \n",
       "\n",
       "   age    skin  diabetes  \n",
       "0   50  1.3790         1  \n",
       "1   31  1.1426         0  \n",
       "2   32  0.0000         1  \n",
       "3   21  0.9062         0  \n",
       "4   33  1.3790         1  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Linhas no dataframe 768\n",
      "# Linhas missing glucose_conc: 5\n",
      "# Linhas missing diastolic_bp: 35\n",
      "# Linhas missing thickness: 227\n",
      "# Linhas missing insulin: 374\n",
      "# Linhas missing bmi: 11\n",
      "# Linhas missing age: 0\n"
     ]
    }
   ],
   "source": [
    "print(\"# Linhas no dataframe {0}\".format(len(df)))\n",
    "print(\"# Linhas missing glucose_conc: {0}\".format(len(df.loc[df['glucose_conc'] == 0])))\n",
    "print(\"# Linhas missing diastolic_bp: {0}\".format(len(df.loc[df['diastolic_bp'] == 0])))\n",
    "print(\"# Linhas missing thickness: {0}\".format(len(df.loc[df['thickness'] == 0])))\n",
    "print(\"# Linhas missing insulin: {0}\".format(len(df.loc[df['insulin'] == 0])))\n",
    "print(\"# Linhas missing bmi: {0}\".format(len(df.loc[df['bmi'] == 0])))\n",
    "print(\"# Linhas missing age: {0}\".format(len(df.loc[df['age'] == 0])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tratando Dados Missing - Impute \n",
    "Substituindo os valores iguais a zero, pela média dos dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import Imputer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criando objeto\n",
    "preenche_0 = Imputer(missing_values = 0, strategy = \"mean\", axis = 0)\n",
    "\n",
    "# Substituindo os valores iguais a zero, pela média dos dados\n",
    "X_treino = preenche_0.fit_transform(X_treino)\n",
    "X_teste = preenche_0.fit_transform(X_teste)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  1.        ,  95.        ,  60.        , ...,  23.9       ,\n",
       "          0.26      ,  22.        ],\n",
       "       [  5.        , 105.        ,  72.        , ...,  36.9       ,\n",
       "          0.159     ,  28.        ],\n",
       "       [  4.34056399, 135.        ,  68.        , ...,  42.3       ,\n",
       "          0.365     ,  24.        ],\n",
       "       ...,\n",
       "       [ 10.        , 101.        ,  86.        , ...,  45.6       ,\n",
       "          1.136     ,  38.        ],\n",
       "       [  4.34056399, 141.        ,  72.24131274, ...,  42.4       ,\n",
       "          0.205     ,  29.        ],\n",
       "       [  4.34056399, 125.        ,  96.        , ...,  22.5       ,\n",
       "          0.262     ,  21.        ]])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_treino"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 50 a 80% do tempo de trabalho de um Cientista de Dados é usado na preparação dos dados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Construindo e treinando o modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Utilizando um classificador Naive Bayes\n",
    "from sklearn.naive_bayes import GaussianNB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Criando o modelo preditivo\n",
    "modelo_v1 = GaussianNB()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GaussianNB(priors=None)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Treinando o modelo\n",
    "modelo_v1.fit(X_treino, Y_treino.ravel())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verificando a exatidão no modelo nos dados de treino"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_predict_train = modelo_v1.predict(X_treino)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exatidão (Accuracy): 0.7542\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Exatidão (Accuracy): {0:.4f}\".format(metrics.accuracy_score(Y_treino, nb_predict_train)))\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Verificando a exatidão no modelo nos dados de teste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "nb_predict_test = modelo_v1.predict(X_teste)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exatidão (Accuracy): 0.7359\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Exatidão (Accuracy): {0:.4f}\".format(metrics.accuracy_score(Y_teste, nb_predict_test)))\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Métricas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image('ConfusionMatrix.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix\n",
      "[[ 52  28]\n",
      " [ 33 118]]\n",
      "\n",
      "Classification Report\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          1       0.61      0.65      0.63        80\n",
      "          0       0.81      0.78      0.79       151\n",
      "\n",
      "avg / total       0.74      0.74      0.74       231\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Criando uma Confusion Matrix\n",
    "print(\"Confusion Matrix\")\n",
    "\n",
    "print(\"{0}\".format(metrics.confusion_matrix(Y_teste, nb_predict_test, labels = [1, 0])))\n",
    "print(\"\")\n",
    "\n",
    "print(\"Classification Report\")\n",
    "print(metrics.classification_report(Y_teste, nb_predict_test, labels = [1, 0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Otimizando o modelo com RandomForest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
       "            max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,\n",
       "            oob_score=False, random_state=42, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "modelo_v2 = RandomForestClassifier(random_state = 42)\n",
    "modelo_v2.fit(X_treino, Y_treino.ravel())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exatidão (Accuracy): 0.9870\n"
     ]
    }
   ],
   "source": [
    "# Verificando os dados de treino\n",
    "rf_predict_train = modelo_v2.predict(X_treino)\n",
    "print(\"Exatidão (Accuracy): {0:.4f}\".format(metrics.accuracy_score(Y_treino, rf_predict_train)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exatidão (Accuracy): 0.7100\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Verificando nos dados de teste\n",
    "rf_predict_test = modelo_v2.predict(X_teste)\n",
    "print(\"Exatidão (Accuracy): {0:.4f}\".format(metrics.accuracy_score(Y_teste, rf_predict_test)))\n",
    "print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion Matrix\n",
      "[[ 43  37]\n",
      " [ 30 121]]\n",
      "\n",
      "Classification Report\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          1       0.59      0.54      0.56        80\n",
      "          0       0.77      0.80      0.78       151\n",
      "\n",
      "avg / total       0.70      0.71      0.71       231\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Confusion Matrix\")\n",
    "\n",
    "print(\"{0}\".format(metrics.confusion_matrix(Y_teste, rf_predict_test, labels = [1, 0])))\n",
    "print(\"\")\n",
    "\n",
    "print(\"Classification Report\")\n",
    "print(metrics.classification_report(Y_teste, rf_predict_test, labels = [1, 0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Regressão Logística"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Terceira versão do modelo usando Regressão Logística\n",
    "modelo_v3 = LogisticRegression(C = 0.7, random_state = 42)\n",
    "modelo_v3.fit(X_treino, Y_treino.ravel())\n",
    "lr_predict_test = modelo_v3.predict(X_teste)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exatidão (Accuracy): 0.7446\n",
      "\n",
      "Classification Report\n",
      "             precision    recall  f1-score   support\n",
      "\n",
      "          1       0.66      0.55      0.60        80\n",
      "          0       0.78      0.85      0.81       151\n",
      "\n",
      "avg / total       0.74      0.74      0.74       231\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Exatidão (Accuracy): {0:.4f}\".format(metrics.accuracy_score(Y_teste, lr_predict_test)))\n",
    "print()\n",
    "print(\"Classification Report\")\n",
    "print(metrics.classification_report(Y_teste, lr_predict_test, labels = [1, 0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Resumindo\n",
    "## Exatidão nos dados de teste\n",
    "\n",
    "# Modelo usando algoritmo Naive Bayes         = 0.7359\n",
    "# Modelo usando algoritmo Random Forest       = 0.7100\n",
    "# Modelo usando algoritmo Regressão Logística = 0.7446"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fazendo Previsões Com o Modelo Treinado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Salvando o modelo para usar mais tarde\n",
    "filename = 'modelo_treinado_v3.sav'\n",
    "pickle.dump(modelo_v3, open(filename, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6.00000000e+00, 9.80000000e+01, 5.80000000e+01, ...,\n",
       "        3.40000000e+01, 4.30000000e-01, 4.30000000e+01],\n",
       "       [2.00000000e+00, 1.12000000e+02, 7.50000000e+01, ...,\n",
       "        3.57000000e+01, 1.48000000e-01, 2.10000000e+01],\n",
       "       [2.00000000e+00, 1.08000000e+02, 6.40000000e+01, ...,\n",
       "        3.08000000e+01, 1.58000000e-01, 2.10000000e+01],\n",
       "       ...,\n",
       "       [4.85714286e+00, 1.27000000e+02, 8.00000000e+01, ...,\n",
       "        3.63000000e+01, 8.04000000e-01, 2.30000000e+01],\n",
       "       [6.00000000e+00, 1.05000000e+02, 7.00000000e+01, ...,\n",
       "        3.08000000e+01, 1.22000000e-01, 3.70000000e+01],\n",
       "       [5.00000000e+00, 7.70000000e+01, 8.20000000e+01, ...,\n",
       "        3.58000000e+01, 1.56000000e-01, 3.50000000e+01]])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_teste"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0]\n",
      "[1]\n"
     ]
    }
   ],
   "source": [
    "# Carregando o modelo e fazendo previsão com novos conjuntos de dados \n",
    "# (X_teste, Y_teste devem ser novos conjuntos de dados preparados com o procedimento de limpeza e transformação adequados)\n",
    "loaded_model = pickle.load(open(filename, 'rb'))\n",
    "resultado1 = loaded_model.predict(X_teste[15].reshape(1, -1))\n",
    "resultado2 = loaded_model.predict(X_teste[18].reshape(1, -1))\n",
    "print(resultado1)\n",
    "print(resultado2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obrigado - Data Science Academy - <a href=\"http://facebook.com/dsacademybr\">facebook.com/dsacademybr</a>"
   ]
  }
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