_NaiveBayes_Titanic_Dataset.ipynb

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PassengerId  Survived  Pclass  \\\n","0          892         0       3   \n","1          893         1       3   \n","2          894         0       2   \n","3          895         0       3   \n","4          896         1       3   \n","\n","                                           Name     Sex   Age  SibSp  Parch  \\\n","0                              Kelly, Mr. James    male  34.5      0      0   \n","1              Wilkes, Mrs. James (Ellen Needs)  female  47.0      1      0   \n","2                     Myles, Mr. Thomas Francis    male  62.0      0      0   \n","3                              Wirz, Mr. Albert    male  27.0      0      0   \n","4  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female  22.0      1      1   \n","\n","    Ticket     Fare Cabin Embarked  \n","0   330911   7.8292   NaN        Q  \n","1   363272   7.0000   NaN        S  \n","2   240276   9.6875   NaN        Q  \n","3   315154   8.6625   NaN        S  \n","4  3101298  12.2875   NaN        S  "],"text/html":["\n","  <div id=\"df-90c32b67-be2c-457c-804b-ba777359fac8\">\n","    <div class=\"colab-df-container\">\n","      <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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>892</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Kelly, Mr. James</td>\n","      <td>male</td>\n","      <td>34.5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330911</td>\n","      <td>7.8292</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>893</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n","      <td>female</td>\n","      <td>47.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>363272</td>\n","      <td>7.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>894</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Myles, Mr. Thomas Francis</td>\n","      <td>male</td>\n","      <td>62.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>240276</td>\n","      <td>9.6875</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>895</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Wirz, Mr. Albert</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>315154</td>\n","      <td>8.6625</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>896</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Hirvonen, Mrs. Alexander (Helga E Lindqvist)</td>\n","      <td>female</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>3101298</td>\n","      <td>12.2875</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-90c32b67-be2c-457c-804b-ba777359fac8')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" 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<td>9.6875</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>8.6625</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>female</td>\n","      <td>22.0</td>\n","      <td>12.2875</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>413</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>414</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>female</td>\n","      <td>39.0</td>\n","      <td>108.9000</td>\n","    </tr>\n","    <tr>\n","      <th>415</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>38.5</td>\n","      <td>7.2500</td>\n","    </tr>\n","    <tr>\n","      <th>416</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>417</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>22.3583</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>418 rows × 5 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-70529b6d-0568-46e9-9608-2b25bf2c2552')\"\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 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 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'pandas.core.frame.DataFrame'>\n","RangeIndex: 418 entries, 0 to 417\n","Data columns (total 5 columns):\n"," #   Column    Non-Null Count  Dtype  \n","---  ------    --------------  -----  \n"," 0   Survived  418 non-null    int64  \n"," 1   Pclass    418 non-null    int64  \n"," 2   Sex       418 non-null    object \n"," 3   Age       418 non-null    float64\n"," 4   Fare      418 non-null    float64\n","dtypes: float64(2), int64(2), object(1)\n","memory usage: 16.5+ KB\n"]}]},{"cell_type":"code","source":["df.replace('male',0,inplace=True)\n","df.replace('female',1,inplace=True)\n","df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"OLehnRA00Gps","executionInfo":{"status":"ok","timestamp":1662295927846,"user_tz":-120,"elapsed":354,"user":{"displayName":"nada mohamed","userId":"02411531856657226807"}},"outputId":"2a66c0b0-b112-4fc3-aea2-d7ba7fabf777"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["     Survived  Pclass  Sex       Age      Fare\n","0           0       3    0  34.50000    7.8292\n","1           1       3    1  47.00000    7.0000\n","2           0       2    0  62.00000    9.6875\n","3           0       3    0  27.00000    8.6625\n","4           1       3    1  22.00000   12.2875\n","..        ...     ...  ...       ...       ...\n","413         0       3    0  30.27259    8.0500\n","414         1       1    1  39.00000  108.9000\n","415         0       3    0  38.50000    7.2500\n","416         0       3    0  30.27259    8.0500\n","417         0       3    0  30.27259   22.3583\n","\n","[418 rows x 5 columns]"],"text/html":["\n","  <div id=\"df-0251ccc4-1e82-4b3f-b0b9-f476553890ba\">\n","    <div class=\"colab-df-container\">\n","      <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","        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<tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>22.00000</td>\n","      <td>12.2875</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>413</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>30.27259</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>414</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>39.00000</td>\n","      <td>108.9000</td>\n","    </tr>\n","    <tr>\n","      <th>415</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>38.50000</td>\n","      <td>7.2500</td>\n","    </tr>\n","    <tr>\n","      <th>416</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>30.27259</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>417</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>30.27259</td>\n","      <td>22.3583</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>418 rows × 5 columns</p>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0251ccc4-1e82-4b3f-b0b9-f476553890ba')\"\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 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 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