turnouver.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c7a52657",
   "metadata": {},
   "source": [
    "# Bibliotecas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f108a5b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# manipulação de dados\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# graficos\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# modelo de machine learning\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn import tree\n",
    "from sklearn.metrics import accuracy_score \n",
    "\n",
    "# import aed\n",
    "import aed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f5cfdd9",
   "metadata": {},
   "source": [
    "# 1. Leitura dos dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d976d578",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('base_rh.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4215b0c7",
   "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>Funcionario_Deixou_Empresa</th>\n",
       "      <th>Freq_Viagens</th>\n",
       "      <th>Formacao</th>\n",
       "      <th>Estado_Civil</th>\n",
       "      <th>Faz_hora_extras</th>\n",
       "      <th>Equilibrio_de_Vida</th>\n",
       "      <th>Idade</th>\n",
       "      <th>Tempo_de_empresa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sim</td>\n",
       "      <td>Viaja raramente</td>\n",
       "      <td>Ensino Técnico</td>\n",
       "      <td>Solteiro</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Ruim</td>\n",
       "      <td>41</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Não</td>\n",
       "      <td>Viaja frequentemente</td>\n",
       "      <td>Ensino Médio</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Não</td>\n",
       "      <td>Muito bom</td>\n",
       "      <td>49</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sim</td>\n",
       "      <td>Viaja raramente</td>\n",
       "      <td>Ensino Técnico</td>\n",
       "      <td>Solteiro</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Muito bom</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Não</td>\n",
       "      <td>Viaja frequentemente</td>\n",
       "      <td>Mestrado</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Muito bom</td>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Não</td>\n",
       "      <td>Viaja raramente</td>\n",
       "      <td>Ensino Médio</td>\n",
       "      <td>Casado</td>\n",
       "      <td>Não</td>\n",
       "      <td>Muito bom</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Funcionario_Deixou_Empresa          Freq_Viagens        Formacao  \\\n",
       "0                        Sim       Viaja raramente  Ensino Técnico   \n",
       "1                        Não  Viaja frequentemente    Ensino Médio   \n",
       "2                        Sim       Viaja raramente  Ensino Técnico   \n",
       "3                        Não  Viaja frequentemente        Mestrado   \n",
       "4                        Não       Viaja raramente    Ensino Médio   \n",
       "\n",
       "  Estado_Civil Faz_hora_extras Equilibrio_de_Vida  Idade  Tempo_de_empresa  \n",
       "0     Solteiro             Sim               Ruim     41                 6  \n",
       "1       Casado             Não          Muito bom     49                10  \n",
       "2     Solteiro             Sim          Muito bom     37                 0  \n",
       "3       Casado             Sim          Muito bom     33                 8  \n",
       "4       Casado             Não          Muito bom     27                 2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9cf775",
   "metadata": {},
   "source": [
    "# 2. Preparação dos dados"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d54f8c3f",
   "metadata": {},
   "source": [
    "## 2.1 Valores faltantes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bfb16ceb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Funcionario_Deixou_Empresa    0\n",
       "Freq_Viagens                  0\n",
       "Formacao                      0\n",
       "Estado_Civil                  0\n",
       "Faz_hora_extras               0\n",
       "Equilibrio_de_Vida            0\n",
       "Idade                         0\n",
       "Tempo_de_empresa              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b12c09a9",
   "metadata": {},
   "source": [
    "## 2.2 Valores duplicados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f65a56ec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82070eca",
   "metadata": {},
   "source": [
    "## 2.3 Tipos das variáveis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "de3a9891",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1470 entries, 0 to 1469\n",
      "Data columns (total 8 columns):\n",
      " #   Column                      Non-Null Count  Dtype \n",
      "---  ------                      --------------  ----- \n",
      " 0   Funcionario_Deixou_Empresa  1470 non-null   object\n",
      " 1   Freq_Viagens                1470 non-null   object\n",
      " 2   Formacao                    1470 non-null   object\n",
      " 3   Estado_Civil                1470 non-null   object\n",
      " 4   Faz_hora_extras             1470 non-null   object\n",
      " 5   Equilibrio_de_Vida          1470 non-null   object\n",
      " 6   Idade                       1470 non-null   int64 \n",
      " 7   Tempo_de_empresa            1470 non-null   int64 \n",
      "dtypes: int64(2), object(6)\n",
      "memory usage: 92.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0db225a9",
   "metadata": {},
   "source": [
    "# 3 Análise Exploratória"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7380d1a9",
   "metadata": {},
   "source": [
    "## 3.1 Dispersão por classe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d6ef7528",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 714.486x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "matplotlib.use('module://ipykernel.pylab.backend_inline')\n",
    "\n",
    "sns.pairplot(df, hue='Funcionario_Deixou_Empresa');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cc22fac3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 714.486x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df, hue = 'Funcionario_Deixou_Empresa');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d813cb9",
   "metadata": {},
   "source": [
    "Funcionarios com **pouca idade** e **pouco tempo de empresa** tendem a deixar mais o emprego"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38bdedf6",
   "metadata": {},
   "source": [
    "## 3.2 Information Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "62b872aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ben-Hur\\Documents\\preditiva analytics\\avore de decisão\\2_Arvores_Decisao_Turnover_Resolvido\\aed.py:110: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_num[nome_var] = pd.qcut(df_num[var],\n"
     ]
    },
    {
     "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>Target</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Variavel</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Funcionario_Deixou_Empresa</th>\n",
       "      <td>9.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Faz_hora_extras</th>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tempo_de_empresa</th>\n",
       "      <td>0.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Idade</th>\n",
       "      <td>0.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Estado_Civil</th>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Freq_Viagens</th>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Equilibrio_de_Vida</th>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Formacao</th>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target                        IV\n",
       "Variavel                        \n",
       "Funcionario_Deixou_Empresa  9.21\n",
       "Faz_hora_extras             0.40\n",
       "Tempo_de_empresa            0.34\n",
       "Idade                       0.31\n",
       "Estado_Civil                0.22\n",
       "Freq_Viagens                0.13\n",
       "Equilibrio_de_Vida          0.06\n",
       "Formacao                    0.01"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Target'] = np.where(df['Funcionario_Deixou_Empresa'] == 'Sim', 1, 0);\n",
    "\n",
    "df_iv = aed.analise_iv(df, 'Target');\n",
    "\n",
    "df_iv.get_lista_iv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "edde6378",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Funcionario_Deixou_Empresa\" tem IV de 9.21\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Funcionario_Deixou_Empresa</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>1233.0</td>\n",
       "      <td>83.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>-4.61</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Funcionario_Deixou_Empresa</td>\n",
       "      <td>Sim</td>\n",
       "      <td>237.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>16.12</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>10000.00</td>\n",
       "      <td>9.21</td>\n",
       "      <td>9.21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target                    Variavel Var_Range  #Target_1  #Target_0   Total  \\\n",
       "0       Funcionario_Deixou_Empresa       Não        0.0     1233.0  1233.0   \n",
       "1       Funcionario_Deixou_Empresa       Sim      237.0        0.0   237.0   \n",
       "\n",
       "Target  %Freq  %Target_1  %Target_0  %Taxa_de_Target_1      Odds  LN(Odds)  \\\n",
       "0       83.88        0.0     100.00                0.0      0.01     -4.61   \n",
       "1       16.12      100.0       0.01              100.0  10000.00      9.21   \n",
       "\n",
       "Target    IV  \n",
       "0       0.00  \n",
       "1       9.21  "
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Faz_hora_extras\" tem IV de 0.4\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
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       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Faz_hora_extras</td>\n",
       "      <td>Não</td>\n",
       "      <td>110.0</td>\n",
       "      <td>944.0</td>\n",
       "      <td>1054.0</td>\n",
       "      <td>71.7</td>\n",
       "      <td>46.41</td>\n",
       "      <td>76.56</td>\n",
       "      <td>10.44</td>\n",
       "      <td>0.61</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Faz_hora_extras</td>\n",
       "      <td>Sim</td>\n",
       "      <td>127.0</td>\n",
       "      <td>289.0</td>\n",
       "      <td>416.0</td>\n",
       "      <td>28.3</td>\n",
       "      <td>53.59</td>\n",
       "      <td>23.44</td>\n",
       "      <td>30.53</td>\n",
       "      <td>2.29</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.25</td>\n",
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       "Target         Variavel Var_Range  #Target_1  #Target_0   Total  %Freq  \\\n",
       "0       Faz_hora_extras       Não      110.0      944.0  1054.0   71.7   \n",
       "1       Faz_hora_extras       Sim      127.0      289.0   416.0   28.3   \n",
       "\n",
       "Target  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0           46.41      76.56              10.44  0.61     -0.49  0.15  \n",
       "1           53.59      23.44              30.53  2.29      0.83  0.25  "
      ]
     },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Tempo_de_empresa\" tem IV de 0.34\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(-0.01, 1.0]</td>\n",
       "      <td>75.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>14.63</td>\n",
       "      <td>31.65</td>\n",
       "      <td>11.35</td>\n",
       "      <td>34.88</td>\n",
       "      <td>2.79</td>\n",
       "      <td>1.03</td>\n",
       "      <td>0.21</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(1.0, 2.0]</td>\n",
       "      <td>27.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>8.64</td>\n",
       "      <td>11.39</td>\n",
       "      <td>8.11</td>\n",
       "      <td>21.26</td>\n",
       "      <td>1.40</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.01</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(2.0, 3.0]</td>\n",
       "      <td>20.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>8.71</td>\n",
       "      <td>8.44</td>\n",
       "      <td>8.76</td>\n",
       "      <td>15.62</td>\n",
       "      <td>0.96</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(3.0, 5.0]</td>\n",
       "      <td>40.0</td>\n",
       "      <td>266.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>20.82</td>\n",
       "      <td>16.88</td>\n",
       "      <td>21.57</td>\n",
       "      <td>13.07</td>\n",
       "      <td>0.78</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(5.0, 7.0]</td>\n",
       "      <td>20.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>166.0</td>\n",
       "      <td>11.29</td>\n",
       "      <td>8.44</td>\n",
       "      <td>11.84</td>\n",
       "      <td>12.05</td>\n",
       "      <td>0.71</td>\n",
       "      <td>-0.34</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(7.0, 9.0]</td>\n",
       "      <td>17.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11.02</td>\n",
       "      <td>7.17</td>\n",
       "      <td>11.76</td>\n",
       "      <td>10.49</td>\n",
       "      <td>0.61</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(9.0, 10.0]</td>\n",
       "      <td>18.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>8.16</td>\n",
       "      <td>7.59</td>\n",
       "      <td>8.27</td>\n",
       "      <td>15.00</td>\n",
       "      <td>0.92</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(10.0, 15.0]</td>\n",
       "      <td>7.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>7.35</td>\n",
       "      <td>2.95</td>\n",
       "      <td>8.19</td>\n",
       "      <td>6.48</td>\n",
       "      <td>0.36</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Tempo_de_empresa</td>\n",
       "      <td>(15.0, 40.0]</td>\n",
       "      <td>13.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>9.39</td>\n",
       "      <td>5.49</td>\n",
       "      <td>10.14</td>\n",
       "      <td>9.42</td>\n",
       "      <td>0.54</td>\n",
       "      <td>-0.62</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target          Variavel     Var_Range  #Target_1  #Target_0  Total  %Freq  \\\n",
       "0       Tempo_de_empresa  (-0.01, 1.0]       75.0      140.0  215.0  14.63   \n",
       "1       Tempo_de_empresa    (1.0, 2.0]       27.0      100.0  127.0   8.64   \n",
       "2       Tempo_de_empresa    (2.0, 3.0]       20.0      108.0  128.0   8.71   \n",
       "3       Tempo_de_empresa    (3.0, 5.0]       40.0      266.0  306.0  20.82   \n",
       "4       Tempo_de_empresa    (5.0, 7.0]       20.0      146.0  166.0  11.29   \n",
       "5       Tempo_de_empresa    (7.0, 9.0]       17.0      145.0  162.0  11.02   \n",
       "6       Tempo_de_empresa   (9.0, 10.0]       18.0      102.0  120.0   8.16   \n",
       "7       Tempo_de_empresa  (10.0, 15.0]        7.0      101.0  108.0   7.35   \n",
       "8       Tempo_de_empresa  (15.0, 40.0]       13.0      125.0  138.0   9.39   \n",
       "\n",
       "Target  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0           31.65      11.35              34.88  2.79      1.03  0.21  \n",
       "1           11.39       8.11              21.26  1.40      0.34  0.01  \n",
       "2            8.44       8.76              15.62  0.96     -0.04  0.00  \n",
       "3           16.88      21.57              13.07  0.78     -0.25  0.01  \n",
       "4            8.44      11.84              12.05  0.71     -0.34  0.01  \n",
       "5            7.17      11.76              10.49  0.61     -0.49  0.02  \n",
       "6            7.59       8.27              15.00  0.92     -0.08  0.00  \n",
       "7            2.95       8.19               6.48  0.36     -1.02  0.05  \n",
       "8            5.49      10.14               9.42  0.54     -0.62  0.03  "
      ]
     },
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Idade\" tem IV de 0.31\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
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       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(17.99, 26.0]</td>\n",
       "      <td>56.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11.02</td>\n",
       "      <td>23.63</td>\n",
       "      <td>8.60</td>\n",
       "      <td>34.57</td>\n",
       "      <td>2.75</td>\n",
       "      <td>1.01</td>\n",
       "      <td>0.15</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(26.0, 29.0]</td>\n",
       "      <td>35.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>11.16</td>\n",
       "      <td>14.77</td>\n",
       "      <td>10.46</td>\n",
       "      <td>21.34</td>\n",
       "      <td>1.41</td>\n",
       "      <td>0.34</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(29.0, 31.0]</td>\n",
       "      <td>27.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>8.78</td>\n",
       "      <td>11.39</td>\n",
       "      <td>8.27</td>\n",
       "      <td>20.93</td>\n",
       "      <td>1.38</td>\n",
       "      <td>0.32</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(31.0, 34.0]</td>\n",
       "      <td>32.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>13.33</td>\n",
       "      <td>13.50</td>\n",
       "      <td>13.30</td>\n",
       "      <td>16.33</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(34.0, 36.0]</td>\n",
       "      <td>16.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>10.00</td>\n",
       "      <td>6.75</td>\n",
       "      <td>10.62</td>\n",
       "      <td>10.88</td>\n",
       "      <td>0.64</td>\n",
       "      <td>-0.45</td>\n",
       "      <td>0.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(36.0, 38.0]</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>7.35</td>\n",
       "      <td>3.38</td>\n",
       "      <td>8.11</td>\n",
       "      <td>7.41</td>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.87</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(38.0, 41.0]</td>\n",
       "      <td>17.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>9.46</td>\n",
       "      <td>7.17</td>\n",
       "      <td>9.89</td>\n",
       "      <td>12.23</td>\n",
       "      <td>0.72</td>\n",
       "      <td>-0.33</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(41.0, 45.0]</td>\n",
       "      <td>12.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>10.34</td>\n",
       "      <td>5.06</td>\n",
       "      <td>11.35</td>\n",
       "      <td>7.89</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.80</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(45.0, 50.0]</td>\n",
       "      <td>16.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>8.84</td>\n",
       "      <td>6.75</td>\n",
       "      <td>9.25</td>\n",
       "      <td>12.31</td>\n",
       "      <td>0.73</td>\n",
       "      <td>-0.31</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Idade</td>\n",
       "      <td>(50.0, 60.0]</td>\n",
       "      <td>18.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>9.73</td>\n",
       "      <td>7.59</td>\n",
       "      <td>10.14</td>\n",
       "      <td>12.59</td>\n",
       "      <td>0.75</td>\n",
       "      <td>-0.29</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target Variavel      Var_Range  #Target_1  #Target_0  Total  %Freq  %Target_1  \\\n",
       "0         Idade  (17.99, 26.0]       56.0      106.0  162.0  11.02      23.63   \n",
       "1         Idade   (26.0, 29.0]       35.0      129.0  164.0  11.16      14.77   \n",
       "2         Idade   (29.0, 31.0]       27.0      102.0  129.0   8.78      11.39   \n",
       "3         Idade   (31.0, 34.0]       32.0      164.0  196.0  13.33      13.50   \n",
       "4         Idade   (34.0, 36.0]       16.0      131.0  147.0  10.00       6.75   \n",
       "5         Idade   (36.0, 38.0]        8.0      100.0  108.0   7.35       3.38   \n",
       "6         Idade   (38.0, 41.0]       17.0      122.0  139.0   9.46       7.17   \n",
       "7         Idade   (41.0, 45.0]       12.0      140.0  152.0  10.34       5.06   \n",
       "8         Idade   (45.0, 50.0]       16.0      114.0  130.0   8.84       6.75   \n",
       "9         Idade   (50.0, 60.0]       18.0      125.0  143.0   9.73       7.59   \n",
       "\n",
       "Target  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0            8.60              34.57  2.75      1.01  0.15  \n",
       "1           10.46              21.34  1.41      0.34  0.01  \n",
       "2            8.27              20.93  1.38      0.32  0.01  \n",
       "3           13.30              16.33  1.02      0.02  0.00  \n",
       "4           10.62              10.88  0.64     -0.45  0.02  \n",
       "5            8.11               7.41  0.42     -0.87  0.04  \n",
       "6            9.89              12.23  0.72     -0.33  0.01  \n",
       "7           11.35               7.89  0.45     -0.80  0.05  \n",
       "8            9.25              12.31  0.73     -0.31  0.01  \n",
       "9           10.14              12.59  0.75     -0.29  0.01  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Estado_Civil\" tem IV de 0.22\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Estado_Civil</td>\n",
       "      <td>Casado</td>\n",
       "      <td>84.0</td>\n",
       "      <td>589.0</td>\n",
       "      <td>673.0</td>\n",
       "      <td>45.78</td>\n",
       "      <td>35.44</td>\n",
       "      <td>47.77</td>\n",
       "      <td>12.48</td>\n",
       "      <td>0.74</td>\n",
       "      <td>-0.30</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Estado_Civil</td>\n",
       "      <td>Divorciado</td>\n",
       "      <td>33.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>22.24</td>\n",
       "      <td>13.92</td>\n",
       "      <td>23.84</td>\n",
       "      <td>10.09</td>\n",
       "      <td>0.58</td>\n",
       "      <td>-0.54</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Estado_Civil</td>\n",
       "      <td>Solteiro</td>\n",
       "      <td>120.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>470.0</td>\n",
       "      <td>31.97</td>\n",
       "      <td>50.63</td>\n",
       "      <td>28.39</td>\n",
       "      <td>25.53</td>\n",
       "      <td>1.78</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target      Variavel   Var_Range  #Target_1  #Target_0  Total  %Freq  \\\n",
       "0       Estado_Civil      Casado       84.0      589.0  673.0  45.78   \n",
       "1       Estado_Civil  Divorciado       33.0      294.0  327.0  22.24   \n",
       "2       Estado_Civil    Solteiro      120.0      350.0  470.0  31.97   \n",
       "\n",
       "Target  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0           35.44      47.77              12.48  0.74     -0.30  0.04  \n",
       "1           13.92      23.84              10.09  0.58     -0.54  0.05  \n",
       "2           50.63      28.39              25.53  1.78      0.58  0.13  "
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Freq_Viagens\" tem IV de 0.13\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Freq_Viagens</td>\n",
       "      <td>Não viaja</td>\n",
       "      <td>12.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>10.20</td>\n",
       "      <td>5.06</td>\n",
       "      <td>11.19</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-0.80</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Freq_Viagens</td>\n",
       "      <td>Viaja frequentemente</td>\n",
       "      <td>69.0</td>\n",
       "      <td>208.0</td>\n",
       "      <td>277.0</td>\n",
       "      <td>18.84</td>\n",
       "      <td>29.11</td>\n",
       "      <td>16.87</td>\n",
       "      <td>24.91</td>\n",
       "      <td>1.73</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Freq_Viagens</td>\n",
       "      <td>Viaja raramente</td>\n",
       "      <td>156.0</td>\n",
       "      <td>887.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>70.95</td>\n",
       "      <td>65.82</td>\n",
       "      <td>71.94</td>\n",
       "      <td>14.96</td>\n",
       "      <td>0.91</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target      Variavel             Var_Range  #Target_1  #Target_0   Total  \\\n",
       "0       Freq_Viagens             Não viaja       12.0      138.0   150.0   \n",
       "1       Freq_Viagens  Viaja frequentemente       69.0      208.0   277.0   \n",
       "2       Freq_Viagens       Viaja raramente      156.0      887.0  1043.0   \n",
       "\n",
       "Target  %Freq  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0       10.20       5.06      11.19               8.00  0.45     -0.80  0.05  \n",
       "1       18.84      29.11      16.87              24.91  1.73      0.55  0.07  \n",
       "2       70.95      65.82      71.94              14.96  0.91     -0.09  0.01  "
      ]
     },
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Equilibrio_de_Vida\" tem IV de 0.06\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Equilibrio_de_Vida</td>\n",
       "      <td>Bom</td>\n",
       "      <td>58.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>23.40</td>\n",
       "      <td>24.47</td>\n",
       "      <td>23.20</td>\n",
       "      <td>16.86</td>\n",
       "      <td>1.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Equilibrio_de_Vida</td>\n",
       "      <td>Excelente</td>\n",
       "      <td>27.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>10.41</td>\n",
       "      <td>11.39</td>\n",
       "      <td>10.22</td>\n",
       "      <td>17.65</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Equilibrio_de_Vida</td>\n",
       "      <td>Muito bom</td>\n",
       "      <td>127.0</td>\n",
       "      <td>766.0</td>\n",
       "      <td>893.0</td>\n",
       "      <td>60.75</td>\n",
       "      <td>53.59</td>\n",
       "      <td>62.12</td>\n",
       "      <td>14.22</td>\n",
       "      <td>0.86</td>\n",
       "      <td>-0.15</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Equilibrio_de_Vida</td>\n",
       "      <td>Ruim</td>\n",
       "      <td>25.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>5.44</td>\n",
       "      <td>10.55</td>\n",
       "      <td>4.46</td>\n",
       "      <td>31.25</td>\n",
       "      <td>2.37</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0.05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "Target            Variavel  Var_Range  #Target_1  #Target_0  Total  %Freq  \\\n",
       "0       Equilibrio_de_Vida        Bom       58.0      286.0  344.0  23.40   \n",
       "1       Equilibrio_de_Vida  Excelente       27.0      126.0  153.0  10.41   \n",
       "2       Equilibrio_de_Vida  Muito bom      127.0      766.0  893.0  60.75   \n",
       "3       Equilibrio_de_Vida       Ruim       25.0       55.0   80.0   5.44   \n",
       "\n",
       "Target  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0           24.47      23.20              16.86  1.05      0.05  0.00  \n",
       "1           11.39      10.22              17.65  1.11      0.10  0.00  \n",
       "2           53.59      62.12              14.22  0.86     -0.15  0.01  \n",
       "3           10.55       4.46              31.25  2.37      0.86  0.05  "
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "==> \"Formacao\" tem IV de 0.01\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Target</th>\n",
       "      <th>Variavel</th>\n",
       "      <th>Var_Range</th>\n",
       "      <th>#Target_1</th>\n",
       "      <th>#Target_0</th>\n",
       "      <th>Total</th>\n",
       "      <th>%Freq</th>\n",
       "      <th>%Target_1</th>\n",
       "      <th>%Target_0</th>\n",
       "      <th>%Taxa_de_Target_1</th>\n",
       "      <th>Odds</th>\n",
       "      <th>LN(Odds)</th>\n",
       "      <th>IV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Formacao</td>\n",
       "      <td>Doutorado</td>\n",
       "      <td>5.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>3.27</td>\n",
       "      <td>2.11</td>\n",
       "      <td>3.49</td>\n",
       "      <td>10.42</td>\n",
       "      <td>0.60</td>\n",
       "      <td>-0.51</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Formacao</td>\n",
       "      <td>Ensino Médio</td>\n",
       "      <td>31.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>11.56</td>\n",
       "      <td>13.08</td>\n",
       "      <td>11.27</td>\n",
       "      <td>18.24</td>\n",
       "      <td>1.16</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Formacao</td>\n",
       "      <td>Ensino Superior</td>\n",
       "      <td>99.0</td>\n",
       "      <td>473.0</td>\n",
       "      <td>572.0</td>\n",
       "      <td>38.91</td>\n",
       "      <td>41.77</td>\n",
       "      <td>38.36</td>\n",
       "      <td>17.31</td>\n",
       "      <td>1.09</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Formacao</td>\n",
       "      <td>Ensino Técnico</td>\n",
       "      <td>44.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>19.18</td>\n",
       "      <td>18.57</td>\n",
       "      <td>19.30</td>\n",
       "      <td>15.60</td>\n",
       "      <td>0.96</td>\n",
       "      <td>-0.04</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Formacao</td>\n",
       "      <td>Mestrado</td>\n",
       "      <td>58.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>398.0</td>\n",
       "      <td>27.07</td>\n",
       "      <td>24.47</td>\n",
       "      <td>27.58</td>\n",
       "      <td>14.57</td>\n",
       "      <td>0.89</td>\n",
       "      <td>-0.12</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Target  Variavel        Var_Range  #Target_1  #Target_0  Total  %Freq  \\\n",
       "0       Formacao        Doutorado        5.0       43.0   48.0   3.27   \n",
       "1       Formacao     Ensino Médio       31.0      139.0  170.0  11.56   \n",
       "2       Formacao  Ensino Superior       99.0      473.0  572.0  38.91   \n",
       "3       Formacao   Ensino Técnico       44.0      238.0  282.0  19.18   \n",
       "4       Formacao         Mestrado       58.0      340.0  398.0  27.07   \n",
       "\n",
       "Target  %Target_1  %Target_0  %Taxa_de_Target_1  Odds  LN(Odds)    IV  \n",
       "0            2.11       3.49              10.42  0.60     -0.51  0.01  \n",
       "1           13.08      11.27              18.24  1.16      0.15  0.00  \n",
       "2           41.77      38.36              17.31  1.09      0.09  0.00  \n",
       "3           18.57      19.30              15.60  0.96     -0.04  0.00  \n",
       "4           24.47      27.58              14.57  0.89     -0.12  0.00  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_iv.get_bivariada()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "419300e8",
   "metadata": {},
   "source": [
    "# 4. Modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d01fbc9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Idade</th>\n",
       "      <th>Tempo_de_empresa</th>\n",
       "      <th>Target</th>\n",
       "      <th>Funcionario_Deixou_Empresa_Não</th>\n",
       "      <th>Funcionario_Deixou_Empresa_Sim</th>\n",
       "      <th>Freq_Viagens_Não viaja</th>\n",
       "      <th>Freq_Viagens_Viaja frequentemente</th>\n",
       "      <th>Freq_Viagens_Viaja raramente</th>\n",
       "      <th>Formacao_Doutorado</th>\n",
       "      <th>Formacao_Ensino Médio</th>\n",
       "      <th>...</th>\n",
       "      <th>Formacao_Mestrado</th>\n",
       "      <th>Estado_Civil_Casado</th>\n",
       "      <th>Estado_Civil_Divorciado</th>\n",
       "      <th>Estado_Civil_Solteiro</th>\n",
       "      <th>Faz_hora_extras_Não</th>\n",
       "      <th>Faz_hora_extras_Sim</th>\n",
       "      <th>Equilibrio_de_Vida_Bom</th>\n",
       "      <th>Equilibrio_de_Vida_Excelente</th>\n",
       "      <th>Equilibrio_de_Vida_Muito bom</th>\n",
       "      <th>Equilibrio_de_Vida_Ruim</th>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <th>4</th>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
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       "      <td>1</td>\n",
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       "      <th>1465</th>\n",
       "      <td>36</td>\n",
       "      <td>5</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1466</th>\n",
       "      <td>39</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1467</th>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1468</th>\n",
       "      <td>49</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>...</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>34</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1470 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Idade  Tempo_de_empresa  Target  Funcionario_Deixou_Empresa_Não  \\\n",
       "0        41                 6       1                               0   \n",
       "1        49                10       0                               1   \n",
       "2        37                 0       1                               0   \n",
       "3        33                 8       0                               1   \n",
       "4        27                 2       0                               1   \n",
       "...     ...               ...     ...                             ...   \n",
       "1465     36                 5       0                               1   \n",
       "1466     39                 7       0                               1   \n",
       "1467     27                 6       0                               1   \n",
       "1468     49                 9       0                               1   \n",
       "1469     34                 4       0                               1   \n",
       "\n",
       "      Funcionario_Deixou_Empresa_Sim  Freq_Viagens_Não viaja  \\\n",
       "0                                  1                       0   \n",
       "1                                  0                       0   \n",
       "2                                  1                       0   \n",
       "3                                  0                       0   \n",
       "4                                  0                       0   \n",
       "...                              ...                     ...   \n",
       "1465                               0                       0   \n",
       "1466                               0                       0   \n",
       "1467                               0                       0   \n",
       "1468                               0                       0   \n",
       "1469                               0                       0   \n",
       "\n",
       "      Freq_Viagens_Viaja frequentemente  Freq_Viagens_Viaja raramente  \\\n",
       "0                                     0                             1   \n",
       "1                                     1                             0   \n",
       "2                                     0                             1   \n",
       "3                                     1                             0   \n",
       "4                                     0                             1   \n",
       "...                                 ...                           ...   \n",
       "1465                                  1                             0   \n",
       "1466                                  0                             1   \n",
       "1467                                  0                             1   \n",
       "1468                                  1                             0   \n",
       "1469                                  0                             1   \n",
       "\n",
       "      Formacao_Doutorado  Formacao_Ensino Médio  ...  Formacao_Mestrado  \\\n",
       "0                      0                      0  ...                  0   \n",
       "1                      0                      1  ...                  0   \n",
       "2                      0                      0  ...                  0   \n",
       "3                      0                      0  ...                  1   \n",
       "4                      0                      1  ...                  0   \n",
       "...                  ...                    ...  ...                ...   \n",
       "1465                   0                      0  ...                  0   \n",
       "1466                   0                      1  ...                  0   \n",
       "1467                   0                      0  ...                  0   \n",
       "1468                   0                      0  ...                  0   \n",
       "1469                   0                      0  ...                  0   \n",
       "\n",
       "      Estado_Civil_Casado  Estado_Civil_Divorciado  Estado_Civil_Solteiro  \\\n",
       "0                       0                        0                      1   \n",
       "1                       1                        0                      0   \n",
       "2                       0                        0                      1   \n",
       "3                       1                        0                      0   \n",
       "4                       1                        0                      0   \n",
       "...                   ...                      ...                    ...   \n",
       "1465                    1                        0                      0   \n",
       "1466                    1                        0                      0   \n",
       "1467                    1                        0                      0   \n",
       "1468                    1                        0                      0   \n",
       "1469                    1                        0                      0   \n",
       "\n",
       "      Faz_hora_extras_Não  Faz_hora_extras_Sim  Equilibrio_de_Vida_Bom  \\\n",
       "0                       0                    1                       0   \n",
       "1                       1                    0                       0   \n",
       "2                       0                    1                       0   \n",
       "3                       0                    1                       0   \n",
       "4                       1                    0                       0   \n",
       "...                   ...                  ...                     ...   \n",
       "1465                    1                    0                       0   \n",
       "1466                    1                    0                       0   \n",
       "1467                    0                    1                       0   \n",
       "1468                    1                    0                       1   \n",
       "1469                    1                    0                       0   \n",
       "\n",
       "      Equilibrio_de_Vida_Excelente  Equilibrio_de_Vida_Muito bom  \\\n",
       "0                                0                             0   \n",
       "1                                0                             1   \n",
       "2                                0                             1   \n",
       "3                                0                             1   \n",
       "4                                0                             1   \n",
       "...                            ...                           ...   \n",
       "1465                             0                             1   \n",
       "1466                             0                             1   \n",
       "1467                             0                             1   \n",
       "1468                             0                             0   \n",
       "1469                             1                             0   \n",
       "\n",
       "      Equilibrio_de_Vida_Ruim  \n",
       "0                           1  \n",
       "1                           0  \n",
       "2                           0  \n",
       "3                           0  \n",
       "4                           0  \n",
       "...                       ...  \n",
       "1465                        0  \n",
       "1466                        0  \n",
       "1467                        0  \n",
       "1468                        0  \n",
       "1469                        0  \n",
       "\n",
       "[1470 rows x 22 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.get_dummies(df)\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b9d65e19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(max_depth=3, random_state=43)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = df1.drop(['Target', 'Funcionario_Deixou_Empresa_Não','Funcionario_Deixou_Empresa_Sim'], axis = 1)\n",
    "y = df1['Target']\n",
    "\n",
    "modelo = DecisionTreeClassifier(max_depth = 3, random_state=43)\n",
    "modelo.fit(x,y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a500bb7",
   "metadata": {},
   "source": [
    "## 4.1 Avaliação do modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5ad8db17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Estimativa de Turnover\\n Utilizando Árvores de Decisão')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15,10))\n",
    "features=list(x.columns)\n",
    "tree.plot_tree(modelo,\n",
    "              feature_names=features,\n",
    "              class_names=['Não Turnover', 'Turnover'],\n",
    "              filled=True);\n",
    "plt.title('Estimativa de Turnover\\n Utilizando Árvores de Decisão')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe35aa4a",
   "metadata": {},
   "source": [
    "Pessoas **solteiras** e com menos que **35 anos de idade** tem maiores probabilidades de sairem da empresa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "47aef232",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.85"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y, modelo.predict(x)).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5ebce88",
   "metadata": {},
   "source": [
    "**Acuracia:** 85%"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}