heart_disease_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Definição do problema\n",
    "\n",
    "> Dado um conjunto dados médicos de pacientes é possível prever se uma pessoa terá ou não problemas cardíacos? Se sim, é possível prever com 90% de precisão?\n",
    "\n",
    "# Objetivos\n",
    "\n",
    "O objetivo primário deste projeto consiste em, dado um conjunto de dados contendo o histórico médico de pacientes com e sem doença cardíaca, é possível determinar, através destes dados se um paciente terá ou não doença cardíaca com 90% de precisão?\n",
    "\n",
    "O objetivo secundário é utilizar técnicas de análise de dados, bem como análise exploratória, e técnicas de aprendizado de máquina para construir um modelo preditivo com 95% de precisão que atenda ao objetivo primário."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as tick\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['image.cmap'] = 'winter_r'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análise exploratória\n",
    "\n",
    "Começando pela leitura do arquivo de dados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trestbps  303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>cp</th>\n",
       "      <th>trestbps</th>\n",
       "      <th>chol</th>\n",
       "      <th>fbs</th>\n",
       "      <th>restecg</th>\n",
       "      <th>thalach</th>\n",
       "      <th>exang</th>\n",
       "      <th>oldpeak</th>\n",
       "      <th>slope</th>\n",
       "      <th>ca</th>\n",
       "      <th>thal</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>63</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>145</td>\n",
       "      <td>233</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>130</td>\n",
       "      <td>250</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>187</td>\n",
       "      <td>0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>130</td>\n",
       "      <td>204</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   63    1   3       145   233    1        0      150      0      2.3      0   \n",
       "1   37    1   2       130   250    0        1      187      0      3.5      0   \n",
       "2   41    0   1       130   204    0        0      172      0      1.4      2   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   0     1       1  \n",
       "1   0     2       1  \n",
       "2   0     2       1  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "None"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('./heart-disease.csv')\n",
    "\n",
    "display(df.head(3), df.info())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com a leitura do arquivo `*.csv` é possível verificar que todos os dados já estão tratados de forma numérica. Não há valores nulos nem faltantes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dicionário de atributos\n",
    "\n",
    "Como os dados já estão limpos, entendamos o significado de cada atributo:\n",
    "\n",
    "* `age`: idade, em anos\n",
    "* `sex`: sexo. 1 = masculino, 2 = feminino\n",
    "* `cp`: tipo de dor no peito. medido como intensidade, de 0 a 3\n",
    "* `trestbps`: pressão sanguínea do paciente em estado \"descansado\". medido em mmHg\n",
    "* `chol`: Nível de colesterol: \n",
    "* `fbs`: nível de açúcar no sangue em jejum. Medido de forma binária (0 -> nível menor que 120mg/dl; 1 -> caso contrário). 1 pode indicar diabetes\n",
    "* `restecg`: resultado do eletrocardiograma do paciente descansado. Medido em 0,1,2.\n",
    "  * Não há informação do que significam esses 3 níveis\n",
    "* `thalach`: Maior ritmo cardíaco alcançado em BPM\n",
    "* `exang`: Exercício introduziu angina? Em outras palavras, se o exercício introduziu dor no peito.\n",
    "* `oldpeak` = Valor máximo do pico negativo no eletrocardiograma. Mede o quão \"anormal\" o coração contrai abaixo da linha mínima de contração no eletrocardiograma.\n",
    "* `slope`: inclinação do oldpeak (0 -> inclinação positiva, 1-> inclinação nula, -> inclinação negativa).\n",
    "* `ca`: número de vasos sanguíneos coloridos por fluoroscopia. (0 a 3).\n",
    "* `thal`: Inconclusivo. 3 -> normal, 6 -> defeito corrigido, 7 -> defeito com possibilidade de correção\n",
    "* `target`: se a pessoa tem ou não problemas cardíacos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hipóteses\n",
    "\n",
    "Com um conhecimento básico dos dados, perguntam-se quais os atributos contribuem positiva ou negativamente para o paciente possuir doenças cardíacas:\n",
    "\n",
    "1. A idade e sexo são relevantes?\n",
    "2. Atributos como dor no peito e angina causada por exercício são fatores?\n",
    "3. Outras ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'Não'), Text(1, 0, 'Sim')]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(9, 6))\n",
    "df['target'].value_counts().plot(kind='bar', ax=ax,)\n",
    "ax.set(\n",
    "    title='Quantidade de pessoas com e sem problemas cardíacos',\n",
    "    ylabel='Quantidade',\n",
    "    xlabel='Tem problemas cardíacos?')\n",
    "ax.set_xticklabels(['Não', 'Sim'], rotation=0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com o gráfico acima é possível inferir que os dados estão bem distribuídos entre pessoas com e sem doenças cardíacas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'Feminino'), Text(1, 0, 'Masculino')]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10, 6))\n",
    "pd.crosstab(df['sex'], df['target']).plot(kind='bar', ax=ax)\n",
    "ax.set(title=r'Quantidade de pessoas com ou sem problemas cardíacos $\\times$ sexo',\n",
    "       ylabel='Quantidade',\n",
    "       xlabel='Sexo')\n",
    "ax.legend(['Sem problemas', 'Com problemas'])\n",
    "ax.set_xticklabels(['Feminino', 'Masculino'], rotation=0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O número de mulheres e homens com problemas cardíacos é similar, porém o número de homens sem problemas é muito maior do que o de mulheres sem problemas. Não é uma informação muito conclusiva, mas indica uma correlação negativa sobre os sexo e a possibilidade de ter doença cardíaca ou não."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Distribuição de idade'),\n",
       " Text(0.5, 0, 'Idade'),\n",
       " Text(0, 0.5, 'Quantidade')]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(10, 6))\n",
    "ax = sns.histplot(df['age'], kde=True, bins=20)\n",
    "ax.set(\n",
    "    title=r'Distribuição de idade',\n",
    "    xlabel='Idade',\n",
    "    ylabel='Quantidade'\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A distribuição de idade aproxima-se de uma curva normal, com uma depressão localizada aprox. 1 desvio padrão à esquerda."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, 'Sem problemas'), Text(1, 0, 'Com problemas')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(9, 6))\n",
    "pd.crosstab(df['target'], df['cp']).plot(kind='bar', ax=ax)\n",
    "ax.set(\n",
    "    title=r'Frequência de dor no peito $\\times$ problemas cardíacos',\n",
    "    xlabel=None,\n",
    "    ylabel='Frequência',\n",
    ")\n",
    "ax.legend([\n",
    "    'Angina típica',\n",
    "    'Angina atípica',\n",
    "    'Não anginosa',\n",
    "    'Assintomática'])\n",
    "\n",
    "ax.set_xticklabels(['Sem problemas', 'Com problemas'], rotation=0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pessoas sem problemas cardíacos tendem a ter dores classificadas como \"Angina típica\" e pouco dos outros tipos de dores. Isso pode indicar uma correlação negativa entre a angina típica e a presença de problemas cardíacos\n",
    "\n",
    "Pessoas com problemas cardíacos têm os tipos de dores distribuídas entre angina típica e atípica, apresentam um salto na dor não anginosa, e poucos casos de dor assintomática.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fa5c9ee16d0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(14, 6))\n",
    "pd.crosstab(df['age'], df['target']).plot(kind='bar', ax=ax)\n",
    "ax.set(\n",
    "    title=r'Idade $\\times$ ocorrências de problemas cardíacos',\n",
    "    ylabel='Quantidade',\n",
    "    xlabel='Idade [Anos]'\n",
    ")\n",
    "\n",
    "ax.legend(['Sem problemas', 'Com problemas'], title=None)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A figura acima indica que não há uma relação direta entre idade e problemas cardíacos. A quantidade de pacientes com problemas se mantém a mesma com o aumento da idade.\n",
    "\n",
    "De fato há mais adultos (de 40 a 55 anos) com problemas cardíacos do que sem.\n",
    "\n",
    "Isso não implica que jovens têm mais chances de ter problemas cardíacos, só indica que o DataFrame está bem distribuído nos casos positivos. De fato, a suspeita é confirmada quando mostrada a matriz de correlação das *features* posteriormente."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x864 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16, 12))\n",
    "gs = fig.add_gridspec(2, 2)\n",
    "\n",
    "ax0 = fig.add_subplot(gs[0, 0])\n",
    "ax1 = fig.add_subplot(gs[0, 1])\n",
    "ax2 = fig.add_subplot(gs[1, :])\n",
    "\n",
    "\n",
    "sc0 = ax0.scatter(\n",
    "    x=df['age'],\n",
    "    y=df['trestbps'],\n",
    "    c=df['target'],\n",
    ")\n",
    "\n",
    "ax0.set(\n",
    "    title=r'Idade $\\times$ Pressão sanguínea',\n",
    "    ylabel='Pressão sanguínea [mmHg]',\n",
    "    xlabel='Idade [Anos]'\n",
    ")\n",
    "\n",
    "ax0.legend(handles=sc0.legend_elements()[0], labels=[\n",
    "    'Sem problemas', 'Com problemas'])\n",
    "\n",
    "\n",
    "sc1 = ax1.scatter(\n",
    "    x=df['age'],\n",
    "    y=df['chol'],\n",
    "    c=df['target'],\n",
    ")\n",
    "ax1.set(\n",
    "    title=r'Idade $\\times$ Nível de colesterol',\n",
    "    ylabel='Colesterol [mg/dl]',\n",
    "    xlabel='Idade [Anos]',\n",
    "    ylim=[120, 320]\n",
    ")\n",
    "\n",
    "ax1.legend(handles=sc1.legend_elements()[0], labels=[\n",
    "    'Sem problemas', 'Com problemas'])\n",
    "\n",
    "\n",
    "sc2 = ax2.scatter(\n",
    "    x=df['age'],\n",
    "    y=df['thalach'],\n",
    "    c=df['target'],\n",
    ")\n",
    "\n",
    "ax2.set(\n",
    "    title=r'Idade $\\times$ Maior batimento cardíaco registrado',\n",
    "    ylabel='Batimento [BPM]',\n",
    "    xlabel='Idade [Anos]'\n",
    ")\n",
    "\n",
    "ax2.legend(handles=sc2.legend_elements()[0], labels=[\n",
    "    'Sem problemas', 'Com problemas']);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Pessoas de pouca idade com batimentos muito altos podem ter indícios de doença cardíaca, enquanto pessoas de maior idade apresentam pouca relação entre frequência cardíaca e problemas cardíacos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_mat = df.corr()\n",
    "plt.figure(figsize=(16, 9))\n",
    "plt.title('Matriz de corrrelação da base de dados')\n",
    "sns.heatmap(\n",
    "    corr_mat,\n",
    "    annot=True,\n",
    "    cmap='winter_r'\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analisando a matriz de correlação, podemos verificar:\n",
    "\n",
    "1. A maioria das correlações são fracas ou moderadas. Não há sequer uma correlação forte.\n",
    "2. As variáveis que relatam melhor a correlação com problemas cardíacos são:\n",
    "   1. `cp`\n",
    "   2. `thalach`\n",
    "   3. `slope`\n",
    "   4. `exang`\n",
    "   5. `oldpeak`\n",
    "3. Algumas variáveis possuem correlação forte entre si. Exemplificando, `slope` e `oldpeak` contam com alta correlação. Provavelmente pois são dados do eletrocardiograma."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Modelagem e análise preditiva\n",
    "\n",
    "Seguindo a documentação da sklearn:\n",
    "\n",
    "![](https://scikit-learn.org/stable/_static/ml_map.png)\n",
    "\n",
    "Há algumas opções:\n",
    "\n",
    "- KNN\n",
    "- SVM\n",
    "- Ensemble\n",
    "- Linear model\n",
    "\n",
    "## Seleção do modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.svm import LinearSVC\n",
    "\n",
    "\n",
    "def train_score(models):\n",
    "    np.random.seed(6)\n",
    "\n",
    "    X = df.drop('target', axis=1)\n",
    "    y = df['target']\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
    "\n",
    "    model_scores = {}\n",
    "    for n, m in models.items():\n",
    "        m.fit(X_train, y_train)\n",
    "        model_scores[n] = m.score(X_test, y_test)\n",
    "    return model_scores\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LinearSVC</th>\n",
       "      <th>RandomForest</th>\n",
       "      <th>LogReg</th>\n",
       "      <th>AdaBoost</th>\n",
       "      <th>KNN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>acc</th>\n",
       "      <td>0.803279</td>\n",
       "      <td>0.803279</td>\n",
       "      <td>0.836066</td>\n",
       "      <td>0.754098</td>\n",
       "      <td>0.672131</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     LinearSVC  RandomForest    LogReg  AdaBoost       KNN\n",
       "acc   0.803279      0.803279  0.836066  0.754098  0.672131"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models = {\n",
    "    'LinearSVC': LinearSVC(max_iter=50000),\n",
    "    'RandomForest': RandomForestClassifier(),\n",
    "    'LogReg': LogisticRegression(max_iter=1000),\n",
    "    'AdaBoost': AdaBoostClassifier(),\n",
    "    'KNN': KNeighborsClassifier()\n",
    "}\n",
    "\n",
    "model_df = pd.DataFrame(train_score(models), index=['acc'])\n",
    "model_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_, ax = plt.subplots(figsize=(9, 6))\n",
    "model_df.T.plot(kind='bar', ax=ax, legend=False)\n",
    "\n",
    "ax.set(\n",
    "    ylabel='Precisão',\n",
    "    title='Comparativo de precisão de modelos',\n",
    "    xlabel='Modelos')\n",
    "    \n",
    "ax.set_xticklabels(model_df.columns, rotation=0)\n",
    "ax.yaxis.set_major_formatter(tick.PercentFormatter(1))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como visto na figura acima, o modelo de **regressão logística** apresentou melhor desempenho no primeiro experimento. \n",
    "\n",
    "Antes de partir para o ajuste dos hiperparâmetros, é razoável fazer a validação cruzada dos modelos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "\n",
    "def train_cv_score(models):\n",
    "    np.random.seed(6)\n",
    "\n",
    "    X = df.drop('target', axis=1)\n",
    "    y = df['target']\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
    "\n",
    "    scores_list = []\n",
    "    for name, model in models.items():\n",
    "\n",
    "        model_scores = {}\n",
    "\n",
    "        model.fit(X_train, y_train)\n",
    "        score = model.score(X_test, y_test)\n",
    "        cv_score = cross_val_score(model, X, y, cv=5)\n",
    "\n",
    "        model_scores['Nome'] = name\n",
    "        model_scores['Pontuação'] = score\n",
    "        model_scores['Pontuação na validação cruzada (PVC)'] = cv_score\n",
    "        model_scores['Média da PVC'] = np.mean(cv_score)\n",
    "\n",
    "        scores_list.append(model_scores)\n",
    "    return scores_list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/sklearn/svm/_base.py:1206: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "df_cv_models = pd.DataFrame(train_cv_score(models))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>Nome</th>\n",
       "      <th>Pontuação</th>\n",
       "      <th>Pontuação na validação cruzada (PVC)</th>\n",
       "      <th>Média da PVC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LinearSVC</td>\n",
       "      <td>0.803279</td>\n",
       "      <td>[0.5573770491803278, 0.8360655737704918, 0.819...</td>\n",
       "      <td>0.732623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>RandomForest</td>\n",
       "      <td>0.803279</td>\n",
       "      <td>[0.8360655737704918, 0.8852459016393442, 0.770...</td>\n",
       "      <td>0.811694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LogReg</td>\n",
       "      <td>0.836066</td>\n",
       "      <td>[0.8032786885245902, 0.8688524590163934, 0.852...</td>\n",
       "      <td>0.828251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AdaBoost</td>\n",
       "      <td>0.754098</td>\n",
       "      <td>[0.8524590163934426, 0.819672131147541, 0.7868...</td>\n",
       "      <td>0.785137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KNN</td>\n",
       "      <td>0.672131</td>\n",
       "      <td>[0.6065573770491803, 0.6557377049180327, 0.573...</td>\n",
       "      <td>0.643880</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Nome  Pontuação               Pontuação na validação cruzada (PVC)  \\\n",
       "0     LinearSVC   0.803279  [0.5573770491803278, 0.8360655737704918, 0.819...   \n",
       "1  RandomForest   0.803279  [0.8360655737704918, 0.8852459016393442, 0.770...   \n",
       "2        LogReg   0.836066  [0.8032786885245902, 0.8688524590163934, 0.852...   \n",
       "3      AdaBoost   0.754098  [0.8524590163934426, 0.819672131147541, 0.7868...   \n",
       "4           KNN   0.672131  [0.6065573770491803, 0.6557377049180327, 0.573...   \n",
       "\n",
       "   Média da PVC  \n",
       "0      0.732623  \n",
       "1      0.811694  \n",
       "2      0.828251  \n",
       "3      0.785137  \n",
       "4      0.643880  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cv_models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_14305/280674445.py:37: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax1.set_xticklabels(labels=df_cv_models['Nome'], rotation=0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax0, ax1) = plt.subplots(2, 1, figsize=(16, 12))\n",
    "\n",
    "for i in df_cv_models['Pontuação na validação cruzada (PVC)']:\n",
    "  ax0.plot(i, '--o')\n",
    "\n",
    "ax0.set(\n",
    "    title='Precisão em cada iteração da validação cruzada',\n",
    "    xlabel='Iteração',\n",
    "    ylabel='Precisão',\n",
    "    xticks = range(len(df_cv_models['Nome']))\n",
    ")\n",
    "ax0.legend(df_cv_models['Nome'])\n",
    "ax0.yaxis.set_major_formatter(tick.PercentFormatter(1))\n",
    "\n",
    "ax1.bar(\n",
    "    x=df_cv_models['Nome'],\n",
    "    height=df_cv_models['Pontuação'],\n",
    "    width=0.4,\n",
    "    align='edge',\n",
    "    edgecolor='black',\n",
    "    label='Simples')\n",
    "\n",
    "ax1.bar(\n",
    "    x=df_cv_models['Nome'],\n",
    "    height=df_cv_models['Média da PVC'],\n",
    "    width=0.4,\n",
    "    edgecolor='black',\n",
    "    label='Cruzada (média)')\n",
    "\n",
    "ax1.set(\n",
    "    title='Precisão avaliada com validação simples e validação cruzada',\n",
    "    xlabel='Modelos',\n",
    "    ylabel='Precisão'\n",
    ")\n",
    "\n",
    "ax1.legend(title='Validação', loc='best')\n",
    "ax1.set_xticklabels(labels=df_cv_models['Nome'], rotation=0)\n",
    "ax1.yaxis.set_major_formatter(tick.PercentFormatter(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como indica a figura anterior, o modelo de Regressão logística ainda se mostrou soberano mesmo com a a validação cruzada. O modelo RandomForest foi o único capaz de equiparar-se em alguns pedaços da base de dados.\n",
    "\n",
    "Dessa forma, o modelo usado será o de **Regressão logística**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Melhorando o modelo\n",
    "\n",
    "### Métricas de base\n",
    "\n",
    "Antes de melhorar o modelo vamos treinar o modelo de base selecionado para usar como linha de base:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_score, recall_score, accuracy_score, f1_score\n",
    "\n",
    "def evaluate_preds(y_true, y_preds):\n",
    "    '''\n",
    "    Função similar ao relatório de classificação, pra poupar tempo\n",
    "    '''\n",
    "    accuracy = accuracy_score(y_true, y_preds)\n",
    "    precision = precision_score(y_true, y_preds)\n",
    "    recall = recall_score(y_true, y_preds)\n",
    "    f1 = f1_score(y_true, y_preds)\n",
    "\n",
    "    metric_dict = {\n",
    "      'accuracy': round(accuracy, 2),\n",
    "      'precision': round(precision, 2),\n",
    "      'recall': round(recall, 2),\n",
    "      'f1': round(f1, 2)}\n",
    "\n",
    "    print(f'Acc: {accuracy * 100:.2f}%')\n",
    "    print(f'Precision: {precision:.2f}')\n",
    "    print(f'Recall: {recall:.2f}')\n",
    "    print(f'F1 score: {f1:.2f}')\n",
    "\n",
    "    return metric_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Acc: 83.61%\n",
      "Precision: 0.79\n",
      "Recall: 0.90\n",
      "F1 score: 0.84\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(6)\n",
    "\n",
    "clf_log_reg = LogisticRegression(max_iter=1000)\n",
    "\n",
    "X = df.drop('target', axis=1)\n",
    "y = df['target']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)\n",
    "\n",
    "clf_log_reg.fit(X_train, y_train)\n",
    "y_preds = clf_log_reg.predict(X_test)\n",
    "\n",
    "baseline_metrics = evaluate_preds(y_test, y_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Métricas do `GridSearchCV`\n",
    "\n",
    "> Como a regressão logística consta com poucos parâmetros, usa-se então o `GridSearchCV` para encontrar a melhor configuração do classificador:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 250 candidates, totalling 1250 fits\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, estimator=LogisticRegression(max_iter=10000),\n",
       "             param_grid={'C': array([1.00000000e-04, 1.45634848e-04, 2.12095089e-04, 3.08884360e-04,\n",
       "       4.49843267e-04, 6.55128557e-04, 9.54095476e-04, 1.38949549e-03,\n",
       "       2.02358965e-03, 2.94705170e-03, 4.29193426e-03, 6.25055193e-03,\n",
       "       9.10298178e-03, 1.32571137e-02, 1.93069773e-02, 2.81176870e-02,\n",
       "       4.09491506e-02, 5.9636233...\n",
       "       3.72759372e+00, 5.42867544e+00, 7.90604321e+00, 1.15139540e+01,\n",
       "       1.67683294e+01, 2.44205309e+01, 3.55648031e+01, 5.17947468e+01,\n",
       "       7.54312006e+01, 1.09854114e+02, 1.59985872e+02, 2.32995181e+02,\n",
       "       3.39322177e+02, 4.94171336e+02, 7.19685673e+02, 1.04811313e+03,\n",
       "       1.52641797e+03, 2.22299648e+03, 3.23745754e+03, 4.71486636e+03,\n",
       "       6.86648845e+03, 1.00000000e+04]),\n",
       "                         'solver': ['newton-cg', 'lbfgs', 'liblinear', 'sag',\n",
       "                                    'saga']},\n",
       "             verbose=True)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "np.random.seed(6)\n",
    "\n",
    "log_reg_grid = {\n",
    "  'C' : np.logspace(-4, 4, 50),\n",
    "  'solver': ['newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga']\n",
    "}\n",
    "\n",
    "gs_log_reg = GridSearchCV(\n",
    "  estimator=LogisticRegression(max_iter=10000),\n",
    "  param_grid=log_reg_grid,\n",
    "  cv=5,\n",
    "  verbose=True)\n",
    "\n",
    "gs_log_reg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=0.3906939937054613, max_iter=10000, solver='liblinear')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.8360655737704918"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(gs_log_reg.best_estimator_, gs_log_reg.score(X_test, y_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com os parâmetros acima foi possível verificar que a precisão do modelo não sofreu um ganho significativo. Dessa forma, recorre-se então ao modelo `RandomForest` que apresentou desempenho similar à regressão logística:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tentando outro modelo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 5 folds for each of 10 candidates, totalling 50 fits\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=3000; total time=   4.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=3000; total time=   4.1s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=3000; total time=   3.9s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=3000; total time=   4.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=3000; total time=   3.9s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.5s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.5s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.5s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   1.5s\n",
      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=6, n_estimators=3000; total time=   4.3s\n",
      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=6, n_estimators=3000; total time=   4.0s\n",
      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=6, n_estimators=3000; total time=   3.9s\n",
      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=6, n_estimators=3000; total time=   3.8s\n",
      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=6, n_estimators=3000; total time=   3.8s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=3000; total time=   3.9s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=3000; total time=   4.0s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=3000; total time=   4.1s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=3000; total time=   4.2s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=3000; total time=   4.1s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=6, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=6, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=6, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=6, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=6, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=500; total time=   0.7s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=500; total time=   0.7s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=500; total time=   0.6s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=500; total time=   0.7s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=500; total time=   0.8s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.2s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.2s\n",
      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=100; total time=   0.2s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=100; total time=   0.2s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.3s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   1.4s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=100; total time=   0.1s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=100; total time=   0.2s\n",
      "[CV] END max_depth=20, max_features=auto, min_samples_leaf=4, min_samples_split=4, n_estimators=100; total time=   0.2s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomizedSearchCV(cv=5, estimator=RandomForestClassifier(),\n",
       "                   param_distributions={'max_depth': [None, 5, 20, 50],\n",
       "                                        'max_features': ['auto'],\n",
       "                                        'min_samples_leaf': [1, 2, 4],\n",
       "                                        'min_samples_split': [2, 4, 6],\n",
       "                                        'n_estimators': [100, 500, 1000, 3000]},\n",
       "                   verbose=2)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "\n",
    "clf_rnd_forest = RandomForestClassifier()\n",
    "\n",
    "rnd_forest_grid = {\n",
    "  'n_estimators' : [100, 500, 1000, 3000],\n",
    "  'max_depth': [None, 5, 20, 50],\n",
    "  'max_features': ['auto'],\n",
    "  'min_samples_split': [2,4,6],\n",
    "  'min_samples_leaf': [1,2,4]\n",
    "}\n",
    "\n",
    "rs_rnd_forest = RandomizedSearchCV(\n",
    "  estimator=clf_rnd_forest,\n",
    "  param_distributions=rnd_forest_grid,\n",
    "  n_iter=10,\n",
    "  cv=5,\n",
    "  verbose=2)\n",
    "\n",
    "rs_rnd_forest.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(RandomForestClassifier(max_depth=5, min_samples_leaf=4, min_samples_split=4,\n",
       "                        n_estimators=500),\n",
       " 0.8524590163934426)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs_rnd_forest.best_estimator_, rs_rnd_forest.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como visto, nem com outro modelo foi possível melhorar a precisão. Dessa forma, o modelo de regressão logística é o que mais se adequa ao contexto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Avaliando o modelo\n",
    "\n",
    "Retreinando o modelo \"definitivo\" com os parâmetros encontrados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = LogisticRegression(C=0.3906939937054613, max_iter=10000, solver='liblinear')\n",
    "clf.fit(X_train, y_train)\n",
    "y_preds = clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0.5, 'Sem problemas'), Text(0, 1.5, 'Com problemas')]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix \n",
    "\n",
    "conf_mat = confusion_matrix(y_test, y_preds)\n",
    "\n",
    "f, ax = plt.subplots()\n",
    "ax = sns.heatmap(conf_mat, annot=True, cmap='winter_r')\n",
    "\n",
    "ax.set(\n",
    "    xlabel='Valores reais',\n",
    "    ylabel='Valores previstos',\n",
    "    title='Matriz de confusão'\n",
    ")\n",
    "\n",
    "ticks = ['Sem problemas', 'Com problemas']\n",
    "ax.set_xticklabels(ticks)\n",
    "ax.set_yticklabels(ticks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com a matriz de confusão acima, é possível avaliar:\n",
    "\n",
    "* do total de casos previstos, 3 foram acusados falsos positivos enquanto 7 foram acusados como falsos negativos\n",
    "* A taxa de falsos negativos é maior do que a de falsos positivos (recall). \n",
    "\n",
    "O fato do modelo apresentar mais falsos negativos é um problema uma vez que é mais danoso ao paciente que realmente está doente ser diagnosticado como sem doença, do que no caso contrário."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_curve, auc, RocCurveDisplay\n",
    "\n",
    "RocCurveDisplay.from_estimator(clf, X_test, y_test)\n",
    "plt.plot([0,1], [0,1], '--', label='Advinhando')\n",
    "plt.title('Curva característica de operação do receptor (ROC)')\n",
    "plt.xlabel('Taxa de falsos positivos')\n",
    "plt.ylabel('Taxa de verdadeiros positivos')\n",
    "plt.legend(loc='best')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "metrics = ['accuracy', 'precision', 'recall', 'f1']\n",
    "metrics_dict = {}\n",
    "for metric in metrics: \n",
    "  cv_score = cross_val_score(clf, X, y, cv=5, scoring=metric)\n",
    "  metrics_dict[metric] = np.mean(cv_score)\n",
    "\n",
    "metrics_df = pd.DataFrame(metrics_dict, index=[0])\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9,7))\n",
    "metrics_df.T.plot(kind='bar', ax=ax)\n",
    "\n",
    "ax.set(\n",
    "  title='Comparativos entre as métricas do modelo de regressão logística',\n",
    "  xlabel='Métrica',\n",
    "  ylabel='Valor',\n",
    ")\n",
    "\n",
    "ax.legend(['Regressão logística'])\n",
    "\n",
    "yticks = np.arange(0, 1, 0.05)\n",
    "\n",
    "ax.set_xticklabels(labels=metrics, rotation=0)\n",
    "ax.set_yticks(yticks)\n",
    "ax.yaxis.set_major_formatter(tick.PercentFormatter(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_df = pd.DataFrame(dict(zip(df.columns , clf.coef_[0])), index=[0])\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9,7))\n",
    "feature_df.T.plot(kind='bar', ax=ax, legend=False)\n",
    "\n",
    "ax.set(\n",
    "  title=r'Importância de cada $feature$',\n",
    "  xlabel='$feature$',\n",
    "  ylabel='Importância relativa'\n",
    ")\n",
    "ax.set_xticklabels(labels=feature_df.columns, rotation=45);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com o gráfico de importância de cada *feature* é possível perceber que algumas hipóteses levantadas na análise exploratória se confirmaram:\n",
    "\n",
    "* O sexo impacta na classificação, sendo uma correlação negativa. Dessa forma, o sexo feminino (representado por 0) realmente tem menos chances de ser classificado com doenças cardíacas do que o sexo masculino (representado por 1)\n",
    "* O tipo de dor no peito impacta na classificação (dor anginosa, não anginosa, assintomática)\n",
    "*  Dados como pressão, colesterol e nível de açúcar no sangue são praticamente irrelevantes para a classificação\n",
    "\n",
    "> **NOTA**: Alguns parâmetros se mostram irrelevantes para a classificação mas podem ser  de fato importante para um exame, desta forma, pode ser necessário a reavaliação de um profissional da área"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Salvando o modelo\n",
    "\n",
    "É possível salvar um modelo treinado para que o mesmo possa ser carregado em memória e usado em produção. Para isso, faz-se uso da serialização de objetos.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle as pkl\n",
    "\n",
    "pkl.dump(clf, open('./trained_classifier.pkl', 'wb'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusões\n",
    "\n",
    "O modelo construído consegue prever se uma pessoa possui ou não doenças cardíacas com **83% de precisão**. Em uma aplicação deste tipo normalmente uma precisão aceitável é acima dos 90%. Dessa forma, considera-se que o modelo não atende às expectativas de uma aplicação médica.\n",
    "\n",
    "Conforme citado nos objetivos, a precisão mínima de 90% não foi alcançada. O objetivo secundário pôde ser alcançado, uma vez que foi possível gerar descobertas à partir do conjunto de dados, como:\n",
    "\n",
    "- Pacientes do sexo feminino tendem à apresentarem menos problemas cardíacos se comparados com pacientes homens.\n",
    "- O tipo de dor no peito sentida pelos pacientes impacta consideravelmente na detecção de doenças cardíacas.\n",
    "- Dados como pressão, colesterol e nível de açúcar no sangue são praticamente irrelevantes para a classificação\n",
    "\n",
    "Retomando a matriz de confusão do modelo, é possível verificar que a taxa de falsos negativos é maior que a taxa de falsos negativos. Em uma aplicação médica identificar um indivíduo com um falso negativo é potencialmente mais danoso do que identificá-lo com um falso positivo. Dessa forma, o modelo aponta outra deficiência potencial.\n",
    "\n",
    "Finalmente, o projeto atende às expectativas de aprendizado de forma razoável, onde foi possível praticar conceitos aprendidos de forma independente, e da forma como seria realizada num trabalho comum. O modelo não deve ser usado em aplicações reais pela taxa de falsos negativos e precisão abaixo de 90 pontos percentuais."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extras\n",
    "\n",
    "## Experimento com XGBoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/xgboost/compat.py:36: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  from pandas import MultiIndex, Int64Index\n",
      "/home/pesadaum/development/projects/predict-heart-disease/env/lib/python3.8/site-packages/xgboost/data.py:262: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.\n",
      "  elif isinstance(data.columns, (pd.Int64Index, pd.RangeIndex)):\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[19:38:52] WARNING: ../src/learner.cc:1115: Starting in XGBoost 1.3.0, the default evaluation metric used with the objective 'binary:logistic' was changed from 'error' to 'logloss'. Explicitly set eval_metric if you'd like to restore the old behavior.\n"
     ]
    }
   ],
   "source": [
    "import xgboost as xgb\n",
    "\n",
    "xgb_clf = xgb.XGBClassifier(use_label_encoder=False)\n",
    "xgb_clf.fit(X_train, y_train)\n",
    "y_preds = xgb_clf.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_xgb = float(accuracy_score(y_test, y_preds))\n",
    "\n",
    "model_df['XGBoost'] = acc_xgb\n",
    "\n",
    "f, ax = plt.subplots(figsize=(9,7))\n",
    "model_df.T.plot(kind='bar', ax=ax, legend=False)\n",
    "\n",
    "ax.set(\n",
    "  title='Precisão dos modelos - Adição do XGBoost',\n",
    "  xlabel='Modelos',\n",
    "  ylabel='Precisão',\n",
    ")\n",
    "\n",
    "ax.set_xticklabels(labels=model_df.columns, rotation=0)\n",
    "\n",
    "ax.yaxis.set_major_formatter(tick.PercentFormatter(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como visto, a linha de base do XGBoost ainda fica abaixo da regressão logística. Então ela é a campeã!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Juntando tudo com Pipelines\n",
    "\n",
    "A criação de uma pipeline é basicamente juntar tudo o que foi feito num fluxo contínuo, normalmente para subir o modelo para produção."
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3.8.10 ('env': venv)",
   "language": "python",
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