Class_Bench_Note.ipynb

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        "<a href=\"https://colab.research.google.com/github/kopiladevkota/Python/blob/main/Class_Bench_Note.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "metadata": {
        "id": "tS-4p7yZRbZO"
      },
      "cell_type": "markdown",
      "source": [
        "# Classification Benchmark"
      ]
    },
    {
      "metadata": {
        "id": "YqkWGum2RfZ2"
      },
      "cell_type": "markdown",
      "source": [
        "## Importing Libraries"
      ]
    },
    {
      "metadata": {
        "id": "9EIQv-iTRUXE"
      },
      "cell_type": "code",
      "source": [
        "#importing libraries\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.metrics import accuracy_score"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "id": "ukFEK1AeR2WX"
      },
      "cell_type": "markdown",
      "source": [
        "## Importing Dataset"
      ]
    },
    {
      "metadata": {
        "id": "E3lhjLWfRUXI",
        "outputId": "2d2aaaf7-b49d-4037-c5b0-9c81f6d37b22",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "data=pd.read_csv('dataTitan.csv')\n",
        "data.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(891, 12)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
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          "height": 204
        }
      },
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<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>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Braund, Mr. Owen Harris</td>\n",
              "      <td>male</td>\n",
              "      <td>22.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>A/5 21171</td>\n",
              "      <td>7.2500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
              "      <td>female</td>\n",
              "      <td>38.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>PC 17599</td>\n",
              "      <td>71.2833</td>\n",
              "      <td>C85</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>Heikkinen, Miss. Laina</td>\n",
              "      <td>female</td>\n",
              "      <td>26.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>STON/O2. 3101282</td>\n",
              "      <td>7.9250</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
              "      <td>female</td>\n",
              "      <td>35.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>113803</td>\n",
              "      <td>53.1000</td>\n",
              "      <td>C123</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Allen, Mr. William Henry</td>\n",
              "      <td>male</td>\n",
              "      <td>35.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>373450</td>\n",
              "      <td>8.0500</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
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            "text/plain": [
              "   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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          "metadata": {
            "tags": []
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          "execution_count": 22
        }
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        "outputId": "09e20d57-dd05-48b1-a11d-52523f313583",
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          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "cell_type": "code",
      "source": [
        "data.isnull().sum()"
      ],
      "execution_count": null,
      "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": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "metadata": {
        "id": "P0-yEXH5XLFr"
      },
      "cell_type": "markdown",
      "source": [
        "### Shuffling and Creating Train and Test Set"
      ]
    },
    {
      "metadata": {
        "id": "KWd44ZIObNzO",
        "outputId": "cde72c60-3887-4666-d466-9f02b41e36fe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "from sklearn.utils import shuffle\n",
        "\n",
        "# Shuffling the Dataset\n",
        "data = shuffle(data, random_state = 42)\n",
        "\n",
        "#creating 4 divisions\n",
        "div = int(data.shape[0]/4)\n",
        "\n",
        "# 3 parts to train set and 1 part to test set\n",
        "train = data.loc[:3*div+1,:]\n",
        "test = data.loc[3*div+1:]\n",
        "\n",
        "train.shape, test.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((621, 12), (271, 12))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "metadata": {
        "id": "CjlvWwGjbNzS",
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          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "cell_type": "code",
      "source": [
        "train.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>PassengerId</th>\n",
              "      <th>Survived</th>\n",
              "      <th>Pclass</th>\n",
              "      <th>Name</th>\n",
              "      <th>Sex</th>\n",
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              "      <th>SibSp</th>\n",
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              "  </thead>\n",
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              "      <th>709</th>\n",
              "      <td>710</td>\n",
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              "      <td>Moubarek, Master. Halim Gonios (\"William George\")</td>\n",
              "      <td>male</td>\n",
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              "      <td>C</td>\n",
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              "      <td>Alhomaki, Mr. Ilmari Rudolf</td>\n",
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              "      <td>0</td>\n",
              "      <td>SOTON/O2 3101287</td>\n",
              "      <td>7.9250</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>720</th>\n",
              "      <td>721</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>Harper, Miss. Annie Jessie \"Nina\"</td>\n",
              "      <td>female</td>\n",
              "      <td>6.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>248727</td>\n",
              "      <td>33.0000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
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              "      <th>39</th>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>Nicola-Yarred, Miss. Jamila</td>\n",
              "      <td>female</td>\n",
              "      <td>14.0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2651</td>\n",
              "      <td>11.2417</td>\n",
              "      <td>NaN</td>\n",
              "      <td>C</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "709          710         1       3   \n",
              "439          440         0       2   \n",
              "840          841         0       3   \n",
              "720          721         1       2   \n",
              "39            40         1       3   \n",
              "\n",
              "                                                  Name     Sex   Age  SibSp  \\\n",
              "709  Moubarek, Master. Halim Gonios (\"William George\")    male   NaN      1   \n",
              "439             Kvillner, Mr. Johan Henrik Johannesson    male  31.0      0   \n",
              "840                        Alhomaki, Mr. Ilmari Rudolf    male  20.0      0   \n",
              "720                  Harper, Miss. Annie Jessie \"Nina\"  female   6.0      0   \n",
              "39                         Nicola-Yarred, Miss. Jamila  female  14.0      1   \n",
              "\n",
              "     Parch            Ticket     Fare Cabin Embarked  \n",
              "709      1              2661  15.2458   NaN        C  \n",
              "439      0        C.A. 18723  10.5000   NaN        S  \n",
              "840      0  SOTON/O2 3101287   7.9250   NaN        S  \n",
              "720      1            248727  33.0000   NaN        S  \n",
              "39       0              2651  11.2417   NaN        C  "
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 25
        }
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        "id": "rBxpgybjCITI",
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          "height": 204
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      },
      "cell_type": "code",
      "source": [
        "test.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>PassengerId</th>\n",
              "      <th>Survived</th>\n",
              "      <th>Pclass</th>\n",
              "      <th>Name</th>\n",
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              "      <th>667</th>\n",
              "      <td>668</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Rommetvedt, Mr. Knud Paust</td>\n",
              "      <td>male</td>\n",
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              "      <td>0</td>\n",
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              "      <td>572</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>Appleton, Mrs. Edward Dale (Charlotte Lamson)</td>\n",
              "      <td>female</td>\n",
              "      <td>53.0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>11769</td>\n",
              "      <td>51.4792</td>\n",
              "      <td>C101</td>\n",
              "      <td>S</td>\n",
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              "      <th>636</th>\n",
              "      <td>637</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>Leinonen, Mr. Antti Gustaf</td>\n",
              "      <td>male</td>\n",
              "      <td>32.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>STON/O 2. 3101292</td>\n",
              "      <td>7.9250</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>714</th>\n",
              "      <td>715</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>Greenberg, Mr. Samuel</td>\n",
              "      <td>male</td>\n",
              "      <td>52.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>250647</td>\n",
              "      <td>13.0000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>262</th>\n",
              "      <td>263</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Taussig, Mr. Emil</td>\n",
              "      <td>male</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>110413</td>\n",
              "      <td>79.6500</td>\n",
              "      <td>E67</td>\n",
              "      <td>S</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     PassengerId  Survived  Pclass  \\\n",
              "667          668         0       3   \n",
              "571          572         1       1   \n",
              "636          637         0       3   \n",
              "714          715         0       2   \n",
              "262          263         0       1   \n",
              "\n",
              "                                              Name     Sex   Age  SibSp  \\\n",
              "667                     Rommetvedt, Mr. Knud Paust    male   NaN      0   \n",
              "571  Appleton, Mrs. Edward Dale (Charlotte Lamson)  female  53.0      2   \n",
              "636                     Leinonen, Mr. Antti Gustaf    male  32.0      0   \n",
              "714                          Greenberg, Mr. Samuel    male  52.0      0   \n",
              "262                              Taussig, Mr. Emil    male  52.0      1   \n",
              "\n",
              "     Parch             Ticket     Fare Cabin Embarked  \n",
              "667      0             312993   7.7750   NaN        S  \n",
              "571      0              11769  51.4792  C101        S  \n",
              "636      0  STON/O 2. 3101292   7.9250   NaN        S  \n",
              "714      0             250647  13.0000   NaN        S  \n",
              "262      1             110413  79.6500   E67        S  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "metadata": {
        "id": "DsGth5bsTGBs"
      },
      "cell_type": "markdown",
      "source": [
        "## Simple Mode"
      ]
    },
    {
      "metadata": {
        "id": "apA_ajXaTIQ7",
        "outputId": "a6f40c9d-4765-41e6-d08a-93849d9c91bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "cell_type": "code",
      "source": [
        "test['simple_mode'] = train['Survived'].mode()[0]\n",
        "test['simple_mode'].head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "667    0\n",
              "571    0\n",
              "636    0\n",
              "714    0\n",
              "262    0\n",
              "Name: simple_mode, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "metadata": {
        "id": "Ujv1-ZbvT2Wo",
        "outputId": "8d52bac0-29c0-488f-a405-cd9677b28ec4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "simple_mode_accuracy = accuracy_score(test['Survived'], test['simple_mode'])\n",
        "simple_mode_accuracy"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6346863468634686"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "metadata": {
        "id": "3u2i3tEiZlL7"
      },
      "cell_type": "markdown",
      "source": [
        "## Mode Based on Gender"
      ]
    },
    {
      "metadata": {
        "id": "qCMngS37rv2C",
        "outputId": "53129c57-653d-49f1-bb32-72b885ac4a24",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "cell_type": "code",
      "source": [
        "gender_mode = pd.crosstab(train['Survived'],train['Sex'])\n",
        "gender_mode"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Sex</th>\n",
              "      <th>female</th>\n",
              "      <th>male</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Survived</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>57</td>\n",
              "      <td>321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>167</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "Sex       female  male\n",
              "Survived              \n",
              "0             57   321\n",
              "1            167    76"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "metadata": {
        "id": "szWaxSBVVqpb",
        "outputId": "37486126-b64f-4023-b2da-3634f6a4c620",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 374
        }
      },
      "cell_type": "code",
      "source": [
        "test['gender_mode'] = test['Survived']\n",
        "\n",
        "# for every unique value in column\n",
        "for i in test['Sex'].unique():\n",
        "  # Calculate and Assign mode to new column, corresponding to unique values in \"Sex\"\n",
        "  test['gender_mode'][test['Sex'] == str(i)] = train['Survived'][train['Sex'] == str(i)].mode()[0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  \n",
            "/usr/local/lib/python3.6/dist-packages/pandas/core/generic.py:5984: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  self._update_inplace(new_data)\n",
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2882: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "id": "7QnVciMfZ6dH",
        "outputId": "5e9ae2d4-648a-4d2c-df47-c021e62baf8d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "cell_type": "code",
      "source": [
        "gender_accuracy = accuracy_score(test['Survived'], test['gender_mode'])\n",
        "gender_accuracy"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.7896678966789668"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "metadata": {
        "id": "Bh7Fmw8fwsGL"
      },
      "cell_type": "code",
      "source": [],
      "execution_count": null,
      "outputs": []
    }
  ]
}