Projeto 01 - Classificacao de credito - Roberto Hatiro.ipynb

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   "source": [
    "<img src=\"https://raw.githubusercontent.com/rhatiro/Credit-score/main/ebac-course-utils/media/logo/newebac_logo_black_half.png\" alt=\"ebac-logo\">\n",
    "\n",
    "---\n",
    "\n",
    "# **Profissão: Cientista de Dados**\n",
    "### **Módulo 8** | Git / GitHub - Controle de versionamento | Exercício 3\n",
    "\n",
    "**Aluno:** [Roberto Hatiro Nishiyama](https://www.linkedin.com/in/rhatiro/)<br>\n",
    "**Data de entrega:** 08 de março de 2023.<br>\n",
    "**Última atualização:** 16 de março de 2023.\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <div style=\"text-align:center\"> Projeto 01 - Concessão de cartões de crédito </div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Índice <a name=\"Contents\"></a>\n",
    "\n",
    "- [Etapa 1 CRISP - DM: Entendimento do negócio](#1)\n",
    "- [Etapa 2 & 3 Crisp-DM: Entendimento e preparação dos dados](#2e3)\n",
    "    > - [Import das bibliotecas/pacotes](#import)\n",
    "    > - [Leitura e pré-processamento dos dados](#leitura)\n",
    "    > - [Entendimento dos dados - Análise univariada](#univariada)\n",
    "    >> - [Gráficos de barras](#barras)\n",
    "    >> - [Histogramas](#histogramas)\n",
    "    > - [Entendimento dos dados - Análise bivariada](#bivariada)\n",
    "    > - [Quantidade de categorias por variável](#qtd_categorias)\n",
    "    > - [Conversão das variáveis categóricas em variáveis numéricas (dummies)](#dummies)\n",
    "- [Etapa 4 e 5 Crisp-DM: Modelagem & Avaliação dos resultados](#4e5)\n",
    "    > - [Dividindo a base em treino e teste](#train_test_split)\n",
    "    > - [RandomForestClassifier](#RFC)\n",
    "    > - [DecisionTreeClassifier #1](#DTC1)\n",
    "    > - [DecisionTreeClassifier #2](#DTC2)\n",
    "- [Etapa 6 Crisp-DM: Implantação](#6)"
   ]
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    "---"
   ]
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   "source": [
    "## Etapa 1 CRISP - DM: Entendimento do negócio <a name=\"1\"></a>\n",
    "\n",
    "**Este é um problema de concessão de cartões de crédito**, publicado no [Kaggle](https://www.kaggle.com/), uma plataforma que promove desafios de ciência de dados, oferecendo prêmios em dinheiro para os melhores colocados. O link original está [aqui](https://www.kaggle.com/rikdifos/credit-card-approval-prediction).  \n",
    "  \n",
    "Essa é uma base de proponentes de cartão de crédito. **O objetivo é construir um modelo preditivo para identificar o risco de inadimplência** (tipicamente definida pela ocorrência de um atraso maior ou igual a 90 em um horizonte de 12 meses) através de variáveis que podem ser observadas na data da avaliação do crédito (tipicamente quando o cliente solicita o cartão).\n",
    "\n",
    "Atividades do CRISP-DM:\n",
    "\n",
    "- Objetivos do negócio\n",
    "> Note que o objetivo aqui é que o modelo sirva o mutuário (o cliente) para que avalie suas próprias decisões, e não a instituição de crédito.\n",
    "- Objetivos da modelagem\n",
    "> O objetivo está bem definido: desenvolver o melhor modelo preditivo de modo a auxiliar o mutuário a tomar suas próprias decisões referentes a crédito.\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Etapa 2 & 3 Crisp-DM: Entendimento e preparação dos dados <a name=\"2e3\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dicionário de dados\n",
    "\n",
    "| Variable Name            | Description                                         | Tipo  |\n",
    "| ------------------------ |:---------------------------------------------------:| -----:|\n",
    "| sexo| M = 'Masculino'; F = 'Feminino' |M/F|\n",
    "| posse_de_veiculo| Y = 'possui'; N = 'não possui' |Y/N|\n",
    "| posse_de_imovel| Y = 'possui'; N = 'não possui' |Y/N|\n",
    "| qtd_filhos| Quantidade de filhos |inteiro|\n",
    "| tipo_renda|Tipo de renda (ex: assaliariado, autônomo etc) | texto |\n",
    "| educacao| Nível de educação (ex: secundário, superior etc) |texto|\n",
    "| estado_civil | Estado civil (ex: solteiro, casado etc)| texto |\n",
    "| tipo_residencia | tipo de residência (ex: casa/apartamento, com os pais etc) | texto |\n",
    "| idade | idade em anos |inteiro|\n",
    "| tempo de emprego | tempo de emprego em anos |inteiro|\n",
    "| possui_celular | Indica se possui celular (1 = sim, 0 = não) |binária|\n",
    "| possui_fone_comercial | Indica se possui telefone comercial (1 = sim, 0 = não) |binária|\n",
    "| possui_fone | Indica se possui telefone (1 = sim, 0 = não) |binária|\n",
    "| possui_email | Indica se possui e-mail (1 = sim, 0 = não) |binária|\n",
    "| qt_pessoas_residencia | quantidade de pessoas na residência |inteiro|\n",
    "| **mau** | indicadora de mau pagador (True = mau, False = bom) |binária|\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import das bibliotecas/pacotes <a name=\"import\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.tree import plot_tree\n",
    "\n",
    "from sklearn import metrics\n",
    "\n",
    "from sklearn.metrics import plot_confusion_matrix\n",
    "from sklearn.metrics import ConfusionMatrixDisplay\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Leitura e pré-processamento dos dados <a name=\"leitura\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
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   "execution_count": 2,
   "metadata": {
    "scrolled": false
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   "outputs": [
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     "text": [
      "Quantidade de linhas e colunas do dataframe:\n",
      " 16650 linhas \n",
      " 16 colunas \n",
      "\n",
      "Quantidade de linhas duplicadas: 9880\n",
      "Quantidade de linhas após remoção: 6770 \n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6770 entries, 0 to 6769\n",
      "Data columns (total 16 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   sexo                   6770 non-null   object \n",
      " 1   posse_de_veiculo       6770 non-null   object \n",
      " 2   posse_de_imovel        6770 non-null   object \n",
      " 3   qtd_filhos             6770 non-null   int64  \n",
      " 4   tipo_renda             6770 non-null   object \n",
      " 5   educacao               6770 non-null   object \n",
      " 6   estado_civil           6770 non-null   object \n",
      " 7   tipo_residencia        6770 non-null   object \n",
      " 8   idade                  6770 non-null   float64\n",
      " 9   tempo_emprego          6770 non-null   float64\n",
      " 10  possui_celular         6770 non-null   int64  \n",
      " 11  possui_fone_comercial  6770 non-null   int64  \n",
      " 12  possui_fone            6770 non-null   int64  \n",
      " 13  possui_email           6770 non-null   int64  \n",
      " 14  qt_pessoas_residencia  6770 non-null   float64\n",
      " 15  mau                    6770 non-null   bool   \n",
      "dtypes: bool(1), float64(3), int64(5), object(7)\n",
      "memory usage: 800.1+ KB\n",
      "None\n"
     ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sexo</th>\n",
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       "      <th>possui_fone</th>\n",
       "      <th>possui_email</th>\n",
       "      <th>qt_pessoas_residencia</th>\n",
       "      <th>mau</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
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       "      <td>Working</td>\n",
       "      <td>Secondary / secondary special</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>58.832877</td>\n",
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       "      <td>Commercial associate</td>\n",
       "      <td>Secondary / secondary special</td>\n",
       "      <td>Single / not married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>52.356164</td>\n",
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       "      <td>M</td>\n",
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       "      <td>Working</td>\n",
       "      <td>Higher education</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>46.224658</td>\n",
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       "      <td>1</td>\n",
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       "      <td>F</td>\n",
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       "      <td>Working</td>\n",
       "      <td>Incomplete higher</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>29.230137</td>\n",
       "      <td>3.021918</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>F</td>\n",
       "      <td>N</td>\n",
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       "      <td>Working</td>\n",
       "      <td>Secondary / secondary special</td>\n",
       "      <td>Single / not married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>34.857534</td>\n",
       "      <td>3.101370</td>\n",
       "      <td>1</td>\n",
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       "      <td>Secondary / secondary special</td>\n",
       "      <td>Civil marriage</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>54.109589</td>\n",
       "      <td>9.884932</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "      <td>True</td>\n",
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       "      <th>6767</th>\n",
       "      <td>F</td>\n",
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       "      <td>Commercial associate</td>\n",
       "      <td>Secondary / secondary special</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>43.389041</td>\n",
       "      <td>7.380822</td>\n",
       "      <td>1</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>True</td>\n",
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       "      <td>M</td>\n",
       "      <td>Y</td>\n",
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       "      <td>Working</td>\n",
       "      <td>Secondary / secondary special</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>30.005479</td>\n",
       "      <td>9.800000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>True</td>\n",
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       "      <td>F</td>\n",
       "      <td>N</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "      <td>Pensioner</td>\n",
       "      <td>Higher education</td>\n",
       "      <td>Married</td>\n",
       "      <td>House / apartment</td>\n",
       "      <td>33.936986</td>\n",
       "      <td>3.630137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>True</td>\n",
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       "<p>6770 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sexo posse_de_veiculo posse_de_imovel  qtd_filhos            tipo_renda  \\\n",
       "0       M                Y               Y           0               Working   \n",
       "1       F                N               Y           0  Commercial associate   \n",
       "2       M                Y               Y           0               Working   \n",
       "3       F                Y               N           0               Working   \n",
       "4       F                N               Y           0               Working   \n",
       "...   ...              ...             ...         ...                   ...   \n",
       "6765    F                N               Y           1               Working   \n",
       "6766    F                N               Y           0               Working   \n",
       "6767    F                N               Y           0  Commercial associate   \n",
       "6768    M                Y               Y           0               Working   \n",
       "6769    F                N               Y           0             Pensioner   \n",
       "\n",
       "                           educacao          estado_civil    tipo_residencia  \\\n",
       "0     Secondary / secondary special               Married  House / apartment   \n",
       "1     Secondary / secondary special  Single / not married  House / apartment   \n",
       "2                  Higher education               Married  House / apartment   \n",
       "3                 Incomplete higher               Married  House / apartment   \n",
       "4     Secondary / secondary special               Married  House / apartment   \n",
       "...                             ...                   ...                ...   \n",
       "6765  Secondary / secondary special  Single / not married  House / apartment   \n",
       "6766  Secondary / secondary special        Civil marriage  House / apartment   \n",
       "6767  Secondary / secondary special               Married  House / apartment   \n",
       "6768  Secondary / secondary special               Married  House / apartment   \n",
       "6769               Higher education               Married  House / apartment   \n",
       "\n",
       "          idade  tempo_emprego  possui_celular  possui_fone_comercial  \\\n",
       "0     58.832877       3.106849               1                      0   \n",
       "1     52.356164       8.358904               1                      0   \n",
       "2     46.224658       2.106849               1                      1   \n",
       "3     29.230137       3.021918               1                      0   \n",
       "4     27.482192       4.024658               1                      0   \n",
       "...         ...            ...             ...                    ...   \n",
       "6765  34.857534       3.101370               1                      1   \n",
       "6766  54.109589       9.884932               1                      0   \n",
       "6767  43.389041       7.380822               1                      1   \n",
       "6768  30.005479       9.800000               1                      1   \n",
       "6769  33.936986       3.630137               1                      0   \n",
       "\n",
       "      possui_fone  possui_email  qt_pessoas_residencia    mau  \n",
       "0               0             0                    2.0  False  \n",
       "1               1             1                    1.0  False  \n",
       "2               1             1                    2.0  False  \n",
       "3               0             0                    2.0  False  \n",
       "4               1             0                    2.0  False  \n",
       "...           ...           ...                    ...    ...  \n",
       "6765            1             0                    1.0   True  \n",
       "6766            0             0                    2.0   True  \n",
       "6767            1             0                    2.0   True  \n",
       "6768            0             0                    2.0   True  \n",
       "6769            1             1                    2.0   True  \n",
       "\n",
       "[6770 rows x 16 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('demo01.csv')\n",
    "\n",
    "print('Quantidade de linhas e colunas do dataframe:\\n', \n",
    "      df.shape[0], 'linhas \\n', \n",
    "      df.shape[1], 'colunas \\n'\n",
    "     )\n",
    "\n",
    "print('Quantidade de linhas duplicadas:', \n",
    "      df.duplicated().sum())\n",
    "\n",
    "df.drop_duplicates(inplace=True)\n",
    "\n",
    "print('Quantidade de linhas após remoção:', \n",
    "      len(df), '\\n')\n",
    "\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "print(df.info())\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entendimento dos dados - Análise univariada <a name=\"univariada\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distribuição da variável resposta (mau):\n",
      "Adimplentes      6472\n",
      "Inadimplentes     298\n",
      "Name: mau, dtype: int64\n",
      "\n",
      "Distribuição percentual da variável resposta (mau):\n",
      "Adimplentes      95.6\n",
      "Inadimplentes     4.4\n",
      "Name: mau, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('Distribuição da variável resposta (mau):')\n",
    "print(df.mau.value_counts().rename(\n",
    "    {False: 'Adimplentes', \n",
    "     True: 'Inadimplentes'}))\n",
    "\n",
    "print('\\nDistribuição percentual da variável resposta (mau):')\n",
    "print(round(df.mau.value_counts(normalize=True).rename(\n",
    "    {False: 'Adimplentes', \n",
    "     True: 'Inadimplentes'}) * 100, 2))\n",
    "\n",
    "df['mau'].value_counts().plot.bar(rot=0)\n",
    "plt.title(label='Distribuição da variável resposta (mau)')\n",
    "plt.xlabel(xlabel=\"'mau'\")\n",
    "plt.xticks(ticks=[0,1], \n",
    "           labels=['Adimplentes (False)', 'Inadimplentes (True)'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gráficos de barras <a name=\"barras\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "N    4211\n",
      "Y    2559\n",
      "Name: posse_de_veiculo, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df['posse_de_veiculo'].value_counts())\n",
    "\n",
    "df['posse_de_veiculo'].value_counts().plot.bar(rot=0)\n",
    "plt.xticks(ticks=[0,1], \n",
    "           labels=['Não possuem veículo', 'Possuem veículo'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Y    4493\n",
      "N    2277\n",
      "Name: posse_de_imovel, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(df['posse_de_imovel'].value_counts())\n",
    "\n",
    "df['posse_de_imovel'].value_counts().plot.bar(rot=0)\n",
    "plt.xticks(ticks=[0,1], \n",
    "           labels=['Possuem imóvel', 'Não possuem imóvel'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Histogramas <a name=\"histogramas\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=df, \n",
    "            x=\"tempo_emprego\", \n",
    "            bins=50)\n",
    "plt.xlabel('Tempo de emprego em anos')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Alterando valores de -1000 pra -2, para melhor visualização no gráfico:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[df[\"tempo_emprego\"]<0, \"tempo_emprego\"] = -2\n",
    "\n",
    "sns.displot(data=df, \n",
    "            x=\"tempo_emprego\", \n",
    "            bins = 50)\n",
    "plt.xlabel('Tempo de emprego em anos')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=df, \n",
    "            x=\"idade\", \n",
    "            bins=50)\n",
    "plt.xlabel('Idade em anos')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entendimento dos dados - Análise bivariada <a name=\"bivariada\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_srs, bins = pd.qcut(x=df['idade'], \n",
    "                        q=4, \n",
    "                        retbins=True)\n",
    "g = df.groupby(cat_srs)\n",
    "biv = g['mau'].mean()\n",
    "\n",
    "ax = biv.plot.line()\n",
    "ax.set_xlabel(xlabel='Idade em anos')\n",
    "ax.set_ylabel(ylabel=\"Proporção de inadimplentes\")\n",
    "ticks = plt.xticks(ticks=range(len(biv.index.values)), \n",
    "                   labels=biv.index.values, \n",
    "                   rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cat_srs, bins = pd.qcut(x=df['tempo_emprego'], \n",
    "                        q=4, \n",
    "                        retbins=True)\n",
    "g = df.groupby(cat_srs)\n",
    "biv = g['mau'].mean()\n",
    "\n",
    "ax = biv.plot.line()\n",
    "ax.set_xlabel(xlabel=\"Tempo de emprego em anos\")\n",
    "ax.set_ylabel(ylabel=\"Proporção de inadimplentes\")\n",
    "ticks = plt.xticks(ticks=range(len(biv.index.values)), \n",
    "                   labels=biv.index.values, \n",
    "                   rotation=45)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quantidade de categorias por variável <a name=\"qtd_categorias\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>tipo_dados</th>\n",
       "      <th>qtd_categorias</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sexo</th>\n",
       "      <td>object</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>posse_de_veiculo</th>\n",
       "      <td>object</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>posse_de_imovel</th>\n",
       "      <td>object</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qtd_filhos</th>\n",
       "      <td>int64</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda</th>\n",
       "      <td>object</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao</th>\n",
       "      <td>object</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil</th>\n",
       "      <td>object</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia</th>\n",
       "      <td>object</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idade</th>\n",
       "      <td>float64</td>\n",
       "      <td>5298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tempo_emprego</th>\n",
       "      <td>float64</td>\n",
       "      <td>3005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_celular</th>\n",
       "      <td>int64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_fone_comercial</th>\n",
       "      <td>int64</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_fone</th>\n",
       "      <td>int64</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_email</th>\n",
       "      <td>int64</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qt_pessoas_residencia</th>\n",
       "      <td>float64</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mau</th>\n",
       "      <td>bool</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      tipo_dados  qtd_categorias\n",
       "sexo                      object               2\n",
       "posse_de_veiculo          object               2\n",
       "posse_de_imovel           object               2\n",
       "qtd_filhos                 int64               8\n",
       "tipo_renda                object               5\n",
       "educacao                  object               5\n",
       "estado_civil              object               5\n",
       "tipo_residencia           object               6\n",
       "idade                    float64            5298\n",
       "tempo_emprego            float64            3005\n",
       "possui_celular             int64               1\n",
       "possui_fone_comercial      int64               2\n",
       "possui_fone                int64               2\n",
       "possui_email               int64               2\n",
       "qt_pessoas_residencia    float64               9\n",
       "mau                         bool               2"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_metadados = pd.DataFrame(data=df.dtypes)\n",
    "df_metadados.columns = ['tipo_dados']\n",
    "\n",
    "qtd_categorias = []\n",
    "\n",
    "for coluna in df.columns:\n",
    "    qtd_categorias.append(df[coluna].nunique())\n",
    "\n",
    "df_metadados['qtd_categorias'] = qtd_categorias\n",
    "df_metadados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conversão das variáveis categóricas em variáveis numéricas (*dummies*) <a name=\"dummies\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 6770 entries, 0 to 6769\n",
      "Data columns (total 33 columns):\n",
      " #   Column                                  Non-Null Count  Dtype  \n",
      "---  ------                                  --------------  -----  \n",
      " 0   qtd_filhos                              6770 non-null   int64  \n",
      " 1   idade                                   6770 non-null   float64\n",
      " 2   tempo_emprego                           6770 non-null   float64\n",
      " 3   possui_celular                          6770 non-null   int64  \n",
      " 4   possui_fone_comercial                   6770 non-null   int64  \n",
      " 5   possui_fone                             6770 non-null   int64  \n",
      " 6   possui_email                            6770 non-null   int64  \n",
      " 7   qt_pessoas_residencia                   6770 non-null   float64\n",
      " 8   mau                                     6770 non-null   bool   \n",
      " 9   sexo_M                                  6770 non-null   uint8  \n",
      " 10  posse_de_veiculo_Y                      6770 non-null   uint8  \n",
      " 11  posse_de_imovel_Y                       6770 non-null   uint8  \n",
      " 12  tipo_renda_Commercial associate         6770 non-null   uint8  \n",
      " 13  tipo_renda_Pensioner                    6770 non-null   uint8  \n",
      " 14  tipo_renda_State servant                6770 non-null   uint8  \n",
      " 15  tipo_renda_Student                      6770 non-null   uint8  \n",
      " 16  tipo_renda_Working                      6770 non-null   uint8  \n",
      " 17  educacao_Academic degree                6770 non-null   uint8  \n",
      " 18  educacao_Higher education               6770 non-null   uint8  \n",
      " 19  educacao_Incomplete higher              6770 non-null   uint8  \n",
      " 20  educacao_Lower secondary                6770 non-null   uint8  \n",
      " 21  educacao_Secondary / secondary special  6770 non-null   uint8  \n",
      " 22  estado_civil_Civil marriage             6770 non-null   uint8  \n",
      " 23  estado_civil_Married                    6770 non-null   uint8  \n",
      " 24  estado_civil_Separated                  6770 non-null   uint8  \n",
      " 25  estado_civil_Single / not married       6770 non-null   uint8  \n",
      " 26  estado_civil_Widow                      6770 non-null   uint8  \n",
      " 27  tipo_residencia_Co-op apartment         6770 non-null   uint8  \n",
      " 28  tipo_residencia_House / apartment       6770 non-null   uint8  \n",
      " 29  tipo_residencia_Municipal apartment     6770 non-null   uint8  \n",
      " 30  tipo_residencia_Office apartment        6770 non-null   uint8  \n",
      " 31  tipo_residencia_Rented apartment        6770 non-null   uint8  \n",
      " 32  tipo_residencia_With parents            6770 non-null   uint8  \n",
      "dtypes: bool(1), float64(3), int64(5), uint8(24)\n",
      "memory usage: 588.5 KB\n",
      "None\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>qtd_filhos</th>\n",
       "      <th>idade</th>\n",
       "      <th>tempo_emprego</th>\n",
       "      <th>possui_celular</th>\n",
       "      <th>possui_fone_comercial</th>\n",
       "      <th>possui_fone</th>\n",
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       "      <th>...</th>\n",
       "      <th>estado_civil_Married</th>\n",
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       "      <th>estado_civil_Single / not married</th>\n",
       "      <th>estado_civil_Widow</th>\n",
       "      <th>tipo_residencia_Co-op apartment</th>\n",
       "      <th>tipo_residencia_House / apartment</th>\n",
       "      <th>tipo_residencia_Municipal apartment</th>\n",
       "      <th>tipo_residencia_Office apartment</th>\n",
       "      <th>tipo_residencia_Rented apartment</th>\n",
       "      <th>tipo_residencia_With parents</th>\n",
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       "</div>"
      ],
      "text/plain": [
       "      qtd_filhos      idade  tempo_emprego  possui_celular  \\\n",
       "0              0  58.832877       3.106849               1   \n",
       "1              0  52.356164       8.358904               1   \n",
       "2              0  46.224658       2.106849               1   \n",
       "3              0  29.230137       3.021918               1   \n",
       "4              0  27.482192       4.024658               1   \n",
       "...          ...        ...            ...             ...   \n",
       "6765           1  34.857534       3.101370               1   \n",
       "6766           0  54.109589       9.884932               1   \n",
       "6767           0  43.389041       7.380822               1   \n",
       "6768           0  30.005479       9.800000               1   \n",
       "6769           0  33.936986       3.630137               1   \n",
       "\n",
       "      possui_fone_comercial  possui_fone  possui_email  qt_pessoas_residencia  \\\n",
       "0                         0            0             0                    2.0   \n",
       "1                         0            1             1                    1.0   \n",
       "2                         1            1             1                    2.0   \n",
       "3                         0            0             0                    2.0   \n",
       "4                         0            1             0                    2.0   \n",
       "...                     ...          ...           ...                    ...   \n",
       "6765                      1            1             0                    1.0   \n",
       "6766                      0            0             0                    2.0   \n",
       "6767                      1            1             0                    2.0   \n",
       "6768                      1            0             0                    2.0   \n",
       "6769                      0            1             1                    2.0   \n",
       "\n",
       "        mau  sexo_M  ...  estado_civil_Married  estado_civil_Separated  \\\n",
       "0     False       1  ...                     1                       0   \n",
       "1     False       0  ...                     0                       0   \n",
       "2     False       1  ...                     1                       0   \n",
       "3     False       0  ...                     1                       0   \n",
       "4     False       0  ...                     1                       0   \n",
       "...     ...     ...  ...                   ...                     ...   \n",
       "6765   True       0  ...                     0                       0   \n",
       "6766   True       0  ...                     0                       0   \n",
       "6767   True       0  ...                     1                       0   \n",
       "6768   True       1  ...                     1                       0   \n",
       "6769   True       0  ...                     1                       0   \n",
       "\n",
       "      estado_civil_Single / not married  estado_civil_Widow  \\\n",
       "0                                     0                   0   \n",
       "1                                     1                   0   \n",
       "2                                     0                   0   \n",
       "3                                     0                   0   \n",
       "4                                     0                   0   \n",
       "...                                 ...                 ...   \n",
       "6765                                  1                   0   \n",
       "6766                                  0                   0   \n",
       "6767                                  0                   0   \n",
       "6768                                  0                   0   \n",
       "6769                                  0                   0   \n",
       "\n",
       "      tipo_residencia_Co-op apartment  tipo_residencia_House / apartment  \\\n",
       "0                                   0                                  1   \n",
       "1                                   0                                  1   \n",
       "2                                   0                                  1   \n",
       "3                                   0                                  1   \n",
       "4                                   0                                  1   \n",
       "...                               ...                                ...   \n",
       "6765                                0                                  1   \n",
       "6766                                0                                  1   \n",
       "6767                                0                                  1   \n",
       "6768                                0                                  1   \n",
       "6769                                0                                  1   \n",
       "\n",
       "      tipo_residencia_Municipal apartment  tipo_residencia_Office apartment  \\\n",
       "0                                       0                                 0   \n",
       "1                                       0                                 0   \n",
       "2                                       0                                 0   \n",
       "3                                       0                                 0   \n",
       "4                                       0                                 0   \n",
       "...                                   ...                               ...   \n",
       "6765                                    0                                 0   \n",
       "6766                                    0                                 0   \n",
       "6767                                    0                                 0   \n",
       "6768                                    0                                 0   \n",
       "6769                                    0                                 0   \n",
       "\n",
       "      tipo_residencia_Rented apartment  tipo_residencia_With parents  \n",
       "0                                    0                             0  \n",
       "1                                    0                             0  \n",
       "2                                    0                             0  \n",
       "3                                    0                             0  \n",
       "4                                    0                             0  \n",
       "...                                ...                           ...  \n",
       "6765                                 0                             0  \n",
       "6766                                 0                             0  \n",
       "6767                                 0                             0  \n",
       "6768                                 0                             0  \n",
       "6769                                 0                             0  \n",
       "\n",
       "[6770 rows x 33 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.get_dummies(data=df.copy(), \n",
    "                    columns=['sexo', 'posse_de_veiculo', 'posse_de_imovel'], \n",
    "                    drop_first=True)\n",
    "\n",
    "df = pd.get_dummies(data=df)\n",
    "\n",
    "print(df.info())\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "\n",
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       "        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>Dtype</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>qtd_filhos</th>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idade</th>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tempo_emprego</th>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_celular</th>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_fone_comercial</th>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_fone</th>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>possui_email</th>\n",
       "      <td>int64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>qt_pessoas_residencia</th>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mau</th>\n",
       "      <td>bool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sexo_M</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>posse_de_veiculo_Y</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>posse_de_imovel_Y</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda_Commercial associate</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda_Pensioner</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda_State servant</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda_Student</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_renda_Working</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao_Academic degree</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao_Higher education</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao_Incomplete higher</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao_Lower secondary</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>educacao_Secondary / secondary special</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil_Civil marriage</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil_Married</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil_Separated</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil_Single / not married</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>estado_civil_Widow</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_Co-op apartment</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_House / apartment</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_Municipal apartment</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_Office apartment</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_Rented apartment</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tipo_residencia_With parents</th>\n",
       "      <td>uint8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Dtype\n",
       "qtd_filhos                                int64\n",
       "idade                                   float64\n",
       "tempo_emprego                           float64\n",
       "possui_celular                            int64\n",
       "possui_fone_comercial                     int64\n",
       "possui_fone                               int64\n",
       "possui_email                              int64\n",
       "qt_pessoas_residencia                   float64\n",
       "mau                                        bool\n",
       "sexo_M                                    uint8\n",
       "posse_de_veiculo_Y                        uint8\n",
       "posse_de_imovel_Y                         uint8\n",
       "tipo_renda_Commercial associate           uint8\n",
       "tipo_renda_Pensioner                      uint8\n",
       "tipo_renda_State servant                  uint8\n",
       "tipo_renda_Student                        uint8\n",
       "tipo_renda_Working                        uint8\n",
       "educacao_Academic degree                  uint8\n",
       "educacao_Higher education                 uint8\n",
       "educacao_Incomplete higher                uint8\n",
       "educacao_Lower secondary                  uint8\n",
       "educacao_Secondary / secondary special    uint8\n",
       "estado_civil_Civil marriage               uint8\n",
       "estado_civil_Married                      uint8\n",
       "estado_civil_Separated                    uint8\n",
       "estado_civil_Single / not married         uint8\n",
       "estado_civil_Widow                        uint8\n",
       "tipo_residencia_Co-op apartment           uint8\n",
       "tipo_residencia_House / apartment         uint8\n",
       "tipo_residencia_Municipal apartment       uint8\n",
       "tipo_residencia_Office apartment          uint8\n",
       "tipo_residencia_Rented apartment          uint8\n",
       "tipo_residencia_With parents              uint8"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes.to_frame(name='Dtype')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Etapa 4 e 5 Crisp-DM: Modelagem & Avaliação dos resultados <a name=\"4e5\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dividindo a base em treino e teste <a name=\"train_test_split\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantidade de linhas e colunas das variáveis explicativas (X): (6770, 32) \n",
      "\n",
      "Quantidade de linhas da variável resposta (y): 6770 \n",
      "\n",
      "\n",
      "Quantidade de linhas e colunas de X_train (70%): (4739, 32)\n",
      "Quantidade de linhas e colunas de X_test (30%): (2031, 32) \n",
      "\n",
      "Quantidade de linhas de y_train (70%): 4739\n",
      "Quantidade de linhas de y_test (30%): 2031\n"
     ]
    }
   ],
   "source": [
    "# X = Variáveis explicativas:\n",
    "X = df.drop(columns='mau')\n",
    "print('Quantidade de linhas e colunas das variáveis explicativas (X):', \n",
    "      X.shape, '\\n')\n",
    "\n",
    "# y = Variável resposta:\n",
    "y = df.mau\n",
    "print('Quantidade de linhas da variável resposta (y):', \n",
    "      len(y), '\\n\\n')\n",
    "\n",
    "# Separando a base em 70% para treinamento e 30% para validação:\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, \n",
    "                                                    y, \n",
    "                                                    test_size=0.3, \n",
    "                                                    random_state=100)\n",
    "\n",
    "print('Quantidade de linhas e colunas de X_train (70%):', \n",
    "      X_train.shape)\n",
    "print('Quantidade de linhas e colunas de X_test (30%):', \n",
    "      X_test.shape, '\\n')\n",
    "\n",
    "print('Quantidade de linhas de y_train (70%):', \n",
    "      len(y_train))\n",
    "print('Quantidade de linhas de y_test (30%):', \n",
    "      len(y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RandomForestClassifier <a name=\"RFC\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(n_estimators=5)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = RandomForestClassifier(n_estimators=5)\n",
    "clf.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Acurácia: 94.44%\n"
     ]
    }
   ],
   "source": [
    "y_pred = clf.predict(X_test)\n",
    "acc = metrics.accuracy_score(y_test, y_pred)\n",
    "print('Acurácia: {0:.2f}%'.format(acc*100))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Matriz de confusão:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "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>mau</th>\n",
       "      <th>False</th>\n",
       "      <th>True</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>row_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>1912</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>32</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "mau    False  True\n",
       "row_0             \n",
       "False   1912    81\n",
       "True      32     6"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tab = pd.crosstab(index = y_pred, \n",
    "                  columns = y_test)\n",
    "tab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DecisionTreeClassifier #1 <a name=\"DTC1\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(random_state=100)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = DecisionTreeClassifier(random_state=100)\n",
    "clf = clf.fit(X=X_train, \n",
    "              y=y_train)\n",
    "clf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,9))\n",
    "plot_tree(decision_tree=clf,\n",
    "          feature_names=X_train.columns,\n",
    "          class_names=['bons', 'maus'],\n",
    "          filled=True, \n",
    "          rounded=True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Matriz de confusão para a base de treino:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ConfusionMatrixDisplay.from_estimator(estimator=clf, \n",
    "                                      X=X_train, \n",
    "                                      y=y_train, \n",
    "                                      display_labels=['aprovados', 'reprovados'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Acurácia na base de treinamento:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9852289512555391"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict_train = clf.predict(X=X_train)\n",
    "accuracy_score(y_true=y_train, \n",
    "               y_pred=predict_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valores preditos:\n",
      "False    1930\n",
      "True      101\n",
      "dtype: int64 \n",
      "\n",
      "Valores reais:\n",
      "False    1944\n",
      "True       87\n",
      "Name: mau, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "predict_test = clf.predict(X=X_test)\n",
    "\n",
    "print('Valores preditos:') \n",
    "print(pd.Series(predict_test).value_counts(), '\\n')\n",
    "\n",
    "print('Valores reais:')\n",
    "print(y_test.value_counts())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Matriz de confusão para a base de teste:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ConfusionMatrixDisplay.from_estimator(estimator=clf, \n",
    "                                      X=X_test, \n",
    "                                      y=y_test, \n",
    "                                      display_labels=['aprovados', 'reprovados'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comparação da acurácia entre base de treinamento e base de teste:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Acurácia da base de treinamento: 0.9852289512555391 \n",
      "\n",
      "Acurácia da base de teste: 0.9182668636139832\n"
     ]
    }
   ],
   "source": [
    "print('Acurácia da base de treinamento:', \n",
    "      accuracy_score(y_true=y_train, \n",
    "                     y_pred=predict_train), '\\n')\n",
    "\n",
    "print('Acurácia da base de teste:', \n",
    "      accuracy_score(y_true=y_test, \n",
    "                     y_pred=predict_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### DecisionTreeClassifier #2 <a name=\"DTC2\"></a>\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(max_depth=10, min_samples_leaf=5, random_state=123)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nova_clf = DecisionTreeClassifier(max_depth=10, \n",
    "                                  min_samples_leaf=5, \n",
    "                                  random_state=123)\n",
    "nova_clf = nova_clf.fit(X=X_train, \n",
    "                        y=y_train)\n",
    "nova_clf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, \n",
    "                         ncols=2, \n",
    "                         figsize=(10,10))\n",
    "fig.subplots_adjust(wspace=0.5)\n",
    "\n",
    "ConfusionMatrixDisplay.from_estimator(estimator=nova_clf, \n",
    "                                      X=X_test, \n",
    "                                      y=y_test, \n",
    "                                      display_labels=['bons', 'maus'], \n",
    "                                      normalize=None, \n",
    "                                      ax=axes[0,0])\n",
    "axes[0,0].set_title(label=\"normalize=None\")\n",
    "\n",
    "ConfusionMatrixDisplay.from_estimator(estimator=nova_clf, \n",
    "                                      X=X_test, \n",
    "                                      y=y_test, \n",
    "                                      display_labels=['bons', 'maus'], \n",
    "                                      normalize='true', \n",
    "                                      ax=axes[0,1])\n",
    "axes[0,1].set_title(label=\"normalize='true'\")\n",
    "\n",
    "ConfusionMatrixDisplay.from_estimator(estimator=nova_clf, \n",
    "                                      X=X_test, \n",
    "                                      y=y_test, \n",
    "                                      display_labels=['bons', 'maus'], \n",
    "                                      normalize='pred', \n",
    "                                      ax=axes[1,0])\n",
    "axes[1,0].set_title(label=\"normalize='pred'\")\n",
    "\n",
    "ConfusionMatrixDisplay.from_estimator(estimator=nova_clf, \n",
    "                                      X=X_test, \n",
    "                                      y=y_test, \n",
    "                                      display_labels=['bons', 'maus'], \n",
    "                                      normalize='all', \n",
    "                                      ax=axes[1,1])\n",
    "axes[1,1].set_title(label=\"normalize='all'\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Proporção de proponentes classificados como 'maus': 0.34 %\n"
     ]
    }
   ],
   "source": [
    "print(\"Proporção de proponentes classificados como 'maus':\",\n",
    "      round(7/(1937+87+7)*100, 2), \n",
    "      '%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Acurácia caso todos os contratos fossem classificados como 'bons':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Valores reais:\n",
      "False    1944\n",
      "True       87\n",
      "Name: mau, dtype: int64 \n",
      "\n",
      "Todos os contratos da base teste classificados como 'bons':\n",
      "False    2031\n",
      "Name: mau, dtype: int64 \n",
      "\n",
      "Acurácia: 95.72 %\n"
     ]
    }
   ],
   "source": [
    "print(\"Valores reais:\")\n",
    "print(pd.Series(y_test).value_counts(), \n",
    "      '\\n')\n",
    "\n",
    "print(\"Todos os contratos da base teste classificados como 'bons':\")\n",
    "print(pd.Series(y_test.replace(to_replace=True, \n",
    "                               value=False)\n",
    "               ).value_counts(), \n",
    "      '\\n')\n",
    "\n",
    "print('Acurácia:', \n",
    "      round(accuracy_score(y_true=y_test, \n",
    "                           y_pred=y_test.replace(to_replace=True, \n",
    "                                                 value=False)\n",
    "                          ) * 100,\n",
    "            2), \n",
    "      '%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Etapa 6 Crisp-DM: Implantação<a name=\"6\"></a>\n",
    "Nessa etapa colocamos em uso o modelo desenvolvido, normalmente implementando o modelo desenvolvido em um motor de crédito que toma as decisões com algum nível de automação - tipicamente aprovando automaticamente clientes muito bons, negando automaticamente clientes muito ruins, e enviando os intermediários para análise manual.\n",
    "\n",
    "<div style=\"text-align: right\"\n",
    "     \n",
    "[Voltar ao índice](#Contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  }
 ],
 "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": 4
}