Titanic_popg.ipynb

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        "<a href=\"https://colab.research.google.com/github/Warpedro1/titanic/blob/main/Titanic_popg.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import io\n",
        "import seaborn as sns\n",
        "from google.colab import files\n",
        "from google.colab import drive\n",
        "import seaborn as sns\n",
        "\n",
        "import scipy\n",
        "import scipy.stats\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.linear_model import LinearRegression\n",
        "\n",
        "drive.mount('/content/gdrive')\n",
        "df = pd.read_csv('/content/gdrive/MyDrive/Colab Notebooks/Datasets/Titanic_db.csv')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Pw_XCXEJtkEI"
      },
      "source": [
        "https://www.kaggle.com/c/titanic/data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uVhnVk2KGsgm"
      },
      "source": [
        "#Preparação de dados I"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DzGPyaPSZaqF"
      },
      "source": [
        "## Primeira Impressão"
      ]
    },
    {
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              "   PassengerId  Survived  Pclass  \\\n",
              "0            1         0       3   \n",
              "1            2         1       1   \n",
              "2            3         1       3   \n",
              "3            4         1       1   \n",
              "4            5         0       3   \n",
              "\n",
              "                                                Name     Sex   Age  SibSp  \\\n",
              "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
              "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
              "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
              "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
              "4                           Allen, Mr. William Henry    male  35.0      0   \n",
              "\n",
              "   Parch            Ticket     Fare Cabin Embarked  \n",
              "0      0         A/5 21171   7.2500   NaN        S  \n",
              "1      0          PC 17599  71.2833   C85        C  \n",
              "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
              "3      0            113803  53.1000  C123        S  \n",
              "4      0            373450   8.0500   NaN        S  "
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            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 891 entries, 0 to 890\n",
            "Data columns (total 12 columns):\n",
            " #   Column       Non-Null Count  Dtype  \n",
            "---  ------       --------------  -----  \n",
            " 0   PassengerId  891 non-null    int64  \n",
            " 1   Survived     891 non-null    int64  \n",
            " 2   Pclass       891 non-null    int64  \n",
            " 3   Name         891 non-null    object \n",
            " 4   Sex          891 non-null    object \n",
            " 5   Age          714 non-null    float64\n",
            " 6   SibSp        891 non-null    int64  \n",
            " 7   Parch        891 non-null    int64  \n",
            " 8   Ticket       891 non-null    object \n",
            " 9   Fare         891 non-null    float64\n",
            " 10  Cabin        204 non-null    object \n",
            " 11  Embarked     889 non-null    object \n",
            "dtypes: float64(2), int64(5), object(5)\n",
            "memory usage: 83.7+ KB\n"
          ]
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        "df.info()"
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              "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
              "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
              "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
              "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
              "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
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              "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
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              "\n",
              "            Parch        Fare  \n",
              "count  891.000000  891.000000  \n",
              "mean     0.381594   32.204208  \n",
              "std      0.806057   49.693429  \n",
              "min      0.000000    0.000000  \n",
              "25%      0.000000    7.910400  \n",
              "50%      0.000000   14.454200  \n",
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              "      <td>891.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>446.000000</td>\n",
              "      <td>0.383838</td>\n",
              "      <td>2.308642</td>\n",
              "      <td>29.699118</td>\n",
              "      <td>0.523008</td>\n",
              "      <td>0.381594</td>\n",
              "      <td>32.204208</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>257.353842</td>\n",
              "      <td>0.486592</td>\n",
              "      <td>0.836071</td>\n",
              "      <td>14.526497</td>\n",
              "      <td>1.102743</td>\n",
              "      <td>0.806057</td>\n",
              "      <td>49.693429</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.420000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>223.500000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>20.125000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>7.910400</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>446.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>28.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>14.454200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>668.500000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>38.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>31.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>891.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>512.329200</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-112694cc-c795-47b4-9051-5a48a9efa4ce')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-112694cc-c795-47b4-9051-5a48a9efa4ce button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-112694cc-c795-47b4-9051-5a48a9efa4ce');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8f03a561-15a6-4ab9-a2e5-82cfc3cadddd\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8f03a561-15a6-4ab9-a2e5-82cfc3cadddd')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8f03a561-15a6-4ab9-a2e5-82cfc3cadddd button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "N-Td2gkgHxH3",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b10eab52-4f5f-4d17-a33a-aff0e6bf8320"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PassengerId      0\n",
              "Survived         0\n",
              "Pclass           0\n",
              "Name             0\n",
              "Sex              0\n",
              "Age            177\n",
              "SibSp            0\n",
              "Parch            0\n",
              "Ticket           0\n",
              "Fare             0\n",
              "Cabin          687\n",
              "Embarked         2\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "aaIb2yAGTOgX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 433
        },
        "outputId": "a4258e17-51ea-444e-f1cf-b5b1799ead5c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "\n",
        "num_nulos = df['Cabin'].isnull().sum()\n",
        "num_nao_nulos = df['Cabin'].count()\n",
        "\n",
        "labels = ['Valores Nulos', 'Valores Não Nulos']\n",
        "\n",
        "sizes = [num_nulos, num_nao_nulos]\n",
        "\n",
        "colors = ['red', 'green']\n",
        "\n",
        "plt.pie(sizes, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)\n",
        "\n",
        "plt.title('Distribuição de Valores Nulos e Não Nulos')\n",
        "\n",
        "plt.axis('equal')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9nCP0dlIIEHh"
      },
      "source": [
        "## Eliminando Colunas"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ncxqaVhkcwcg"
      },
      "outputs": [],
      "source": [
        "df.drop(['PassengerId','Ticket','Name', 'Cabin' ], axis=1, inplace=True)\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JNSWT51YISDb"
      },
      "source": [
        "Justificativa:\n",
        "\n",
        "\n",
        "*   PassengerID: Era apenas um indexador, porém o dataset já possui um indexador natural que não irá alterar os testes ou as análises.\n",
        "*   Ticket:  é único para cada pessoa não impactando nas análises e servindo apenas para identificar cada tripulante.\n",
        "*   Name: é único para cada pessoa não impactando nas análises e servindo apenas para identificar cada tripulante.\n",
        "*   Cabin: Tem uma grande porcetagem de valores nulos, sendo quase 80%\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jYeZC5EKPLy4"
      },
      "source": [
        "## Lidando Com Valores Nulos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3vwxwMKvP5-B",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "68631188-978f-484f-92b1-949a3103bc07"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived      0\n",
              "Pclass        0\n",
              "Sex           0\n",
              "Age         177\n",
              "SibSp         0\n",
              "Parch         0\n",
              "Fare          0\n",
              "Embarked      2\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fxwu_xl0QQCQ"
      },
      "outputs": [],
      "source": [
        "df.dropna(subset = ['Embarked'],inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0S_sYgxWR5Ft",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cdbefd83-52b7-4253-f08e-245941d1ba38"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Moda:  0    24.0\n",
            "Name: Age, dtype: float64\n",
            "\n",
            "Média:  29.64209269662921\n",
            "\n",
            "Mediana:  28.0\n"
          ]
        }
      ],
      "source": [
        "print(\"Moda: \", df['Age'].mode())\n",
        "print(\"\\nMédia: \", df['Age'].mean())\n",
        "print(\"\\nMediana: \",df['Age'].median())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Dj-OTelaXOd2"
      },
      "outputs": [],
      "source": [
        "df['Age'].fillna(df['Age'].median(), inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fcCMHTbtXepy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "13c417b5-5a66-4633-f691-ffed31270214"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Survived    0\n",
              "Pclass      0\n",
              "Sex         0\n",
              "Age         0\n",
              "SibSp       0\n",
              "Parch       0\n",
              "Fare        0\n",
              "Embarked    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7tj5YT43X3ks"
      },
      "source": [
        "## Explorando Dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h5Q-4QPqvn8h"
      },
      "source": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C0NiUfcvdWCG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2fb81d66-23cd-4558-fba7-98e103fc2ed8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "\n",
        "for column in df.columns:\n",
        "    plt.hist(df[column])\n",
        "    plt.title(f'Histogram of {column}')\n",
        "    plt.xlabel('Values')\n",
        "    plt.ylabel('Frequency')\n",
        "    plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Ujj7jQ0FfMgR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "31fd6211-dda3-4e3b-fdc0-7c245f7f7a30"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1500 with 42 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "sns.pairplot(df.select_dtypes(include=[np.number]))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AiIShbPge3dt",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b3add6a9-7b5f-4c8b-b55c-317d49eeb74c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "corr_matrix = df.corr(numeric_only=True)\n",
        "sns.heatmap(corr_matrix, annot=True)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HY1F7kebgJtP",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d6105f21-e2ed-4b02-f3cd-3eb7be1fa237"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fare =  df['Fare'].round(-1)\n",
        "\n",
        "sns.set_style('darkgrid') #darkgrid, whitegrid, dark, white, ticks\n",
        "plt.rcParams['font.size'] = 10\n",
        "plt.rcParams['figure.figsize'] = (5, 3)\n",
        "plt.rcParams['figure.facecolor'] = '#FFE5B4'\n",
        "\n",
        "plt.figure(figsize=(12,4))\n",
        "plt.subplot(121)\n",
        "sns.countplot(x = \"Survived\", data=df, hue=fare)\n",
        "plt.title('Fare ')\n",
        "\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5dqrR_7txcZy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "17ca81c5-a746-445d-c62f-319276473b0c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sobreviventes = df[df['Survived'] == 1]\n",
        "mortos = df[df['Survived'] == 0]\n",
        "\n",
        "distribuicao_sobreviventes = sobreviventes['Pclass'].value_counts().sort_index()\n",
        "distribuicao_mortos = mortos['Pclass'].value_counts().sort_index()\n",
        "\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.bar(distribuicao_sobreviventes.index - 0.2, distribuicao_sobreviventes, width=0.4, label='Sobreviventes', align='center')\n",
        "plt.bar(distribuicao_mortos.index + 0.2, distribuicao_mortos, width=0.4, label='Mortos', align='center')\n",
        "plt.xlabel('Classe (Pclass)')\n",
        "plt.ylabel('Contagem')\n",
        "plt.title('Distribuição de Sobreviventes e Mortos por Classe (Pclass)')\n",
        "plt.xticks(distribuicao_sobreviventes.index)\n",
        "plt.legend()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0i3_TueLyUxV",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "329afd84-fa75-4213-c940-22b56f752ba0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3    491\n",
            "1    214\n",
            "2    184\n",
            "Name: Pclass, dtype: int64\n"
          ]
        }
      ],
      "source": [
        "print(df['Pclass'].value_counts())"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UiqwBl7H4eZa"
      },
      "source": [
        "Para ver se existia uma correlação entre ser homem e ter sobrevivido"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Preparação II"
      ],
      "metadata": {
        "id": "FTkah7N2AtLx"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jopYxYZTYavc"
      },
      "source": [
        "## Categóricos para Numéricos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2xUV6eaV8NAr",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "433a498b-b81f-4eea-ebca-3d72e40c1bdc"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Survived  Pclass  Sex   Age  SibSp  Parch     Fare  Embarked\n",
              "0         0       3    1  22.0      1      0   7.2500         2\n",
              "1         1       1    0  38.0      1      0  71.2833         0\n",
              "2         1       3    0  26.0      0      0   7.9250         2\n",
              "3         1       1    0  35.0      1      0  53.1000         2\n",
              "4         0       3    1  35.0      0      0   8.0500         2"
            ],
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              "                                                    [key], {});\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "label_encoder = LabelEncoder()\n",
        "label_encoder.fit(df['Embarked'])\n",
        "df['Embarked'] = label_encoder.transform(df['Embarked'])\n",
        "\n",
        "label_encoder = LabelEncoder()\n",
        "label_encoder.fit(df['Sex'])\n",
        "df['Sex'] = label_encoder.transform(df['Sex'])\n",
        "\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5C8mZzIXYtHO"
      },
      "outputs": [],
      "source": [
        "df.rename(columns={'Sex': 'IsMale'}, inplace=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Comparação de sobreviventes e não sobreviventes por Sexo\n"
      ],
      "metadata": {
        "id": "cj380jSqBgGh"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "11pUVb7O1e68",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "outputId": "3966020a-57ee-417a-8cd1-fff8f3dd4bb9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sobreviventes = df[df['Survived'] == 1]\n",
        "mortos = df[df['Survived'] == 0]\n",
        "\n",
        "porcentagem_sobreviventes = sobreviventes['IsMale'].value_counts(normalize=True) * 100\n",
        "porcentagem_mortos = mortos['IsMale'].value_counts(normalize=True) * 100\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.pie(porcentagem_sobreviventes, labels=[ 'Homens', 'Mulheres'], autopct='%1.1f%%', startangle=90, colors=['lightblue', 'lightcoral'])\n",
        "plt.title('Porcentagem de Sobreviventes por Sexo')\n",
        "plt.axis('equal')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "LFCF9-TK4lyn",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 521
        },
        "outputId": "4f2421e9-72f5-4dcb-c7a3-def8fd6da874"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sobreviventes = df[df['Survived'] == 0]\n",
        "mortos = df[df['Survived'] == 0]\n",
        "\n",
        "porcentagem_sobreviventes = sobreviventes['IsMale'].value_counts(normalize=True) * 100\n",
        "porcentagem_mortos = mortos['IsMale'].value_counts(normalize=True) * 100\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.pie(porcentagem_sobreviventes, labels=[ 'Homens', 'Mulheres'], autopct='%1.1f%%', startangle=90, colors=['lightblue', 'lightcoral'])\n",
        "plt.title('Porcentagem de Sobreviventes por Sexo')\n",
        "plt.axis('equal')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "import plotly.express as px\n",
        "\n",
        "fig = px.histogram(df, x=\"IsMale\", facet_col='Survived', color=\"IsMale\",title=\"Sobreviventes e não sobreviventes por Sexo\")\n",
        "fig.update_layout(annotations=[\n",
        "       go.layout.Annotation(\n",
        "            showarrow=False,\n",
        "            text='Mortos',\n",
        "            xanchor='right',\n",
        "            yanchor='top',\n",
        "            y=1\n",
        "        ), go.layout.Annotation(\n",
        "            showarrow=False,\n",
        "            text='Sobreviventes',\n",
        "            xanchor='right',\n",
        "            yanchor='top',\n",
        "            y=1\n",
        "        )])\n",
        "\n",
        "fig.show()\n"
      ],
      "metadata": {
        "id": "1RbDNhK-BssG",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "29c3e231-8186-4b97-fc0a-f49efe15ab48"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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              "\n",
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              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Dividindo a base de dados para ser testada e treinada"
      ],
      "metadata": {
        "id": "QSy8tF-9BzFQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X = df.drop('Survived', axis=1)\n",
        "y = df['Survived']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
      ],
      "metadata": {
        "id": "ZZP1wqI4B2R4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Normalizando os dataframes"
      ],
      "metadata": {
        "id": "JJxC0HPiB5OF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import RobustScaler\n",
        "\n",
        "scaler = RobustScaler()\n",
        "scaler.fit(X_train)\n",
        "X_train_scaled = scaler.transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)"
      ],
      "metadata": {
        "id": "n9lByp8XCClW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_normalized = pd.DataFrame(X_train_scaled, columns=X.columns)\n",
        "df_normalized['Survived'] = y_train\n",
        "df_normalized.head()"
      ],
      "metadata": {
        "id": "aozsEaG8CEJo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "26732732-a17e-430b-aa01-d6d716409a4d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Pclass  IsMale       Age  SibSp  Parch      Fare  Embarked  Survived\n",
              "0    -2.0    -1.0  0.500000    1.0    0.0  3.318528       0.0       0.0\n",
              "1     0.0    -1.0 -0.285714    0.0    0.0 -0.248340       0.0       1.0\n",
              "2     0.0     0.0 -0.500000    0.0    0.0 -0.288998       0.0       NaN\n",
              "3    -1.0     0.0  0.571429    1.0    2.0  0.582391       0.0       1.0\n",
              "4    -1.0     0.0  0.071429    1.0    0.0  0.581107      -2.0       0.0"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Pclass</th>\n",
              "      <th>IsMale</th>\n",
              "      <th>Age</th>\n",
              "      <th>SibSp</th>\n",
              "      <th>Parch</th>\n",
              "      <th>Fare</th>\n",
              "      <th>Embarked</th>\n",
              "      <th>Survived</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-2.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.318528</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>-1.0</td>\n",
              "      <td>-0.285714</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.248340</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.500000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>-0.288998</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.571429</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>0.582391</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.071429</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.581107</td>\n",
              "      <td>-2.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3203c7a3-f61b-46f8-9c3f-a4d9811c8681')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-3203c7a3-f61b-46f8-9c3f-a4d9811c8681 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-3203c7a3-f61b-46f8-9c3f-a4d9811c8681');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-18b04021-b8fc-446f-a317-683755a81ae8\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-18b04021-b8fc-446f-a317-683755a81ae8')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-18b04021-b8fc-446f-a317-683755a81ae8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#kNN"
      ],
      "metadata": {
        "id": "_Zd57bRbD7MY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score\n",
        "from collections import Counter\n",
        "import math\n",
        "\n",
        "def distancia_euclidiana(p1, p2):\n",
        "    return math.sqrt(sum((x - y) ** 2 for x, y in zip(p1, p2)))\n",
        "\n",
        "def knn(train_data, test_point, k):\n",
        "    distancias = [(exemplo[:-1], distancia_euclidiana(test_point, exemplo[:-1])) for exemplo in train_data]\n",
        "    k_vizinhos = sorted(distancias, key=lambda x: x[1])[:k]\n",
        "    classes = [vizinho[0][-1] for vizinho in k_vizinhos]\n",
        "    classe_mais_comum = Counter(classes).most_common(1)[0][0]\n",
        "\n",
        "    return classe_mais_comum\n",
        "\n",
        "\n",
        "train_data, test_data = train_test_split(df.values, test_size=0.2, random_state=42)\n",
        "\n",
        "\n",
        "for i in range(1, 11):\n",
        "    previsoes = [knn(train_data, exemplo, i) for exemplo in test_data[:, :-1]]\n",
        "    y_test = test_data[:, -1]\n",
        "    acuracia = accuracy_score(y_test, previsoes)\n",
        "    print(f'Acurácia do modelo k-NN personalizado com k={i}: {acuracia:.2f}')\n"
      ],
      "metadata": {
        "id": "U3efnpcOP9_L"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "\n",
        "\n",
        "for i in range(1,11):\n",
        "\n",
        "  knn = KNeighborsClassifier(n_neighbors=i)\n",
        "  knn.fit(X_train, y_train)\n",
        "\n",
        "  y_pred = knn.predict(X_test)\n",
        "\n",
        "  accuracy = accuracy_score(y_test, y_pred)\n",
        "  print(f'Acurácia do modelo k-NN com k={i}: {accuracy:.2f}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PBNYjCtiEKm3",
        "outputId": "5c9834b8-f42b-4903-94d3-bd89e6c358bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Acurácia do modelo k-NN com k=1: 0.66\n",
            "Acurácia do modelo k-NN com k=2: 0.71\n",
            "Acurácia do modelo k-NN com k=3: 0.72\n",
            "Acurácia do modelo k-NN com k=4: 0.69\n",
            "Acurácia do modelo k-NN com k=5: 0.70\n",
            "Acurácia do modelo k-NN com k=6: 0.69\n",
            "Acurácia do modelo k-NN com k=7: 0.70\n",
            "Acurácia do modelo k-NN com k=8: 0.73\n",
            "Acurácia do modelo k-NN com k=9: 0.73\n",
            "Acurácia do modelo k-NN com k=10: 0.74\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Avaliação de Classificadores"
      ],
      "metadata": {
        "id": "7PEY7FT1Q3Vs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix, precision_score, recall_score, accuracy_score, f1_score\n",
        "\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "print(\"Matriz de Confusão:\")\n",
        "print(cm)\n",
        "\n",
        "precision = precision_score(y_test, y_pred)\n",
        "print(f\"Precisão (Precision): {precision:.2f}\")\n",
        "\n",
        "recall = recall_score(y_test, y_pred)\n",
        "print(f\"Cobertura (Recall): {recall:.2f}\")\n",
        "\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print(f\"Acurácia (Accuracy): {accuracy:.2f}\")\n",
        "\n",
        "f1 = f1_score(y_test, y_pred)\n",
        "print(f\"F1-Score: {f1:.2f}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_ueZhwVQQ2mP",
        "outputId": "39e4b4e5-7290-48ad-e1f7-3c564ee0df34"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Matriz de Confusão:\n",
            "[[96 13]\n",
            " [33 36]]\n",
            "Precisão (Precision): 0.73\n",
            "Cobertura (Recall): 0.52\n",
            "Acurácia (Accuracy): 0.74\n",
            "F1-Score: 0.61\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "9nCP0dlIIEHh",
        "7tj5YT43X3ks"
      ],
      "authorship_tag": "ABX9TyNSIWHQH2MrgKOEEcgUVdMa",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}