Machine_Learning/Email Spam Classifier/spam_mail_pridector.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "twVBAayY9rMH"
      },
      "source": [
        "**importing the Depedencies**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": "0"
          },
          "execution_count": 226,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer,CountVectorizer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.pipeline import make_pipeline\n",
        "import subprocess\n",
        "# Execute pip install command\n",
        "subprocess.check_call(['pip', 'install', 'fsspec'])"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:41:28.628464300Z",
          "start_time": "2023-06-30T10:41:26.666191300Z"
        },
        "id": "6X67VWZ39rMI",
        "outputId": "305473db-ca76-4025-a258-c59429957193"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7MS3E4iM9rMK"
      },
      "source": [
        "data collection & pre-processing"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:19.080667600Z",
          "start_time": "2023-06-30T10:43:18.944641800Z"
        },
        "id": "SnHuwccE9rMK"
      },
      "outputs": [],
      "source": [
        "raw_mail_data = pd.read_csv(\"D://spam_ham_dataset.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:20.157832300Z",
          "start_time": "2023-06-30T10:43:20.016674Z"
        },
        "id": "lVGljutE9rML",
        "outputId": "24353476-b4b6-4b10-d7f6-3e416f7fb1b7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "      Unnamed: 0 label                                               text  \\\n",
            "0            605   ham  Subject: enron methanol ; meter # : 988291\\r\\n...   \n",
            "1           2349   ham  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n",
            "2           3624   ham  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n",
            "3           4685  spam  Subject: photoshop , windows , office . cheap ...   \n",
            "4           2030   ham  Subject: re : indian springs\\r\\nthis deal is t...   \n",
            "...          ...   ...                                                ...   \n",
            "5166        1518   ham  Subject: put the 10 on the ft\\r\\nthe transport...   \n",
            "5167         404   ham  Subject: 3 / 4 / 2000 and following noms\\r\\nhp...   \n",
            "5168        2933   ham  Subject: calpine daily gas nomination\\r\\n>\\r\\n...   \n",
            "5169        1409   ham  Subject: industrial worksheets for august 2000...   \n",
            "5170        4807  spam  Subject: important online banking alert\\r\\ndea...   \n",
            "\n",
            "      label_num  \n",
            "0             0  \n",
            "1             0  \n",
            "2             0  \n",
            "3             1  \n",
            "4             0  \n",
            "...         ...  \n",
            "5166          0  \n",
            "5167          0  \n",
            "5168          0  \n",
            "5169          0  \n",
            "5170          1  \n",
            "\n",
            "[5171 rows x 4 columns]\n"
          ]
        }
      ],
      "source": [
        "print(raw_mail_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:21.124102800Z",
          "start_time": "2023-06-30T10:43:21.092631300Z"
        },
        "id": "O9fCWhD89rML"
      },
      "outputs": [],
      "source": [
        "#replace the null value with a null string\n",
        "mail_data = raw_mail_data.where((pd.notnull(raw_mail_data)),'')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:21.973828100Z",
          "start_time": "2023-06-30T10:43:21.964475600Z"
        },
        "id": "XQ8XWlDN9rML",
        "outputId": "5f154abb-35f7-4d81-c3cd-9ff330b02a45"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605   ham  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349   ham  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624   ham  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685  spam  Subject: photoshop , windows , office . cheap ...   \n4        2030   ham  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  \n0          0  \n1          0  \n2          0  \n3          1  \n4          0  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>ham</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>ham</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>ham</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>spam</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>ham</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 230,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#printing the first 5 rows of the dataframe\n",
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:23.053131600Z",
          "start_time": "2023-06-30T10:43:23.046590Z"
        },
        "id": "VyF52roH9rML",
        "outputId": "122648a5-9f81-4e9d-cba4-ad49b3e9d0cb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "(5171, 4)"
          },
          "execution_count": 231,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#checking the number of rows and columns in the dataframe\n",
        "mail_data.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fiooSPMK9rMM"
      },
      "source": [
        "**Label Encoding**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:25.119721800Z",
          "start_time": "2023-06-30T10:43:25.095061700Z"
        },
        "id": "BxW9GnOZ9rMM"
      },
      "outputs": [],
      "source": [
        "#label spam mail as 1;\n",
        "#ham mail as 0;\n",
        "mail_data.loc[mail_data['label']=='spam','label',] = 0\n",
        "mail_data.loc[mail_data['label']=='ham','label',] = 1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pW96cnPe9rMM"
      },
      "source": [
        "spam = 0\n",
        "ham = 1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:29.499819100Z",
          "start_time": "2023-06-30T10:43:29.468430800Z"
        },
        "id": "hlWZb8z99rMM"
      },
      "outputs": [],
      "source": [
        "#seprating the data as texts and label\n",
        "x=mail_data['text']\n",
        "y=mail_data['label']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:31.051054200Z",
          "start_time": "2023-06-30T10:43:31.023795700Z"
        },
        "id": "asNPxGzY9rMM",
        "outputId": "4f2be9f2-6a93-4768-818e-f2ae6886fdf6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0       Subject: enron methanol ; meter # : 988291\\r\\n...\n",
            "1       Subject: hpl nom for january 9 , 2001\\r\\n( see...\n",
            "2       Subject: neon retreat\\r\\nho ho ho , we ' re ar...\n",
            "3       Subject: photoshop , windows , office . cheap ...\n",
            "4       Subject: re : indian springs\\r\\nthis deal is t...\n",
            "                              ...                        \n",
            "5166    Subject: put the 10 on the ft\\r\\nthe transport...\n",
            "5167    Subject: 3 / 4 / 2000 and following noms\\r\\nhp...\n",
            "5168    Subject: calpine daily gas nomination\\r\\n>\\r\\n...\n",
            "5169    Subject: industrial worksheets for august 2000...\n",
            "5170    Subject: important online banking alert\\r\\ndea...\n",
            "Name: text, Length: 5171, dtype: object\n"
          ]
        }
      ],
      "source": [
        "print(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:43:31.867920100Z",
          "start_time": "2023-06-30T10:43:31.836255400Z"
        },
        "id": "hhDG9Q4Z9rMN",
        "outputId": "86855697-1801-4733-b3d7-99b2eb94ee57"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "0       1\n",
            "1       1\n",
            "2       1\n",
            "3       0\n",
            "4       1\n",
            "       ..\n",
            "5166    1\n",
            "5167    1\n",
            "5168    1\n",
            "5169    1\n",
            "5170    0\n",
            "Name: label, Length: 5171, dtype: object\n"
          ]
        }
      ],
      "source": [
        "print(y)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rWlCwoJO9rMN"
      },
      "source": [
        "**EDA**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:04.335190600Z",
          "start_time": "2023-06-30T10:44:04.287985300Z"
        },
        "id": "iPKPzbtJ9rMN",
        "outputId": "369ded09-1cf5-4b2e-cb5d-b4a115befa68"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  \n0          0  \n1          0  \n2          0  \n3          1  \n4          0  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 236,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:05.708349400Z",
          "start_time": "2023-06-30T10:44:05.661040900Z"
        },
        "id": "k_OvZC9r9rMN",
        "outputId": "ed7f3662-8ef7-46a9-9ad7-b8ef69e72e15"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "label\n1    3672\n0    1499\nName: count, dtype: int64"
          },
          "execution_count": 237,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data['label'].value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:08.118098400Z",
          "start_time": "2023-06-30T10:44:08.020267800Z"
        },
        "id": "tSXoSb7D9rMN",
        "outputId": "a251c861-b699-4714-aa33-9a5c871dd332"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.pie(mail_data['label'].value_counts(), labels=['ham','spam'],autopct=\"%0.2f\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:23.812785500Z",
          "start_time": "2023-06-30T10:44:23.790046Z"
        },
        "id": "eez3MiXI9rMN"
      },
      "outputs": [],
      "source": [
        "import nltk\n",
        "nltk.data.path.append(\"C:/Users/niraj/nltk_data\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:27.536799300Z",
          "start_time": "2023-06-30T10:44:24.515428Z"
        },
        "id": "Zm8fll0f9rMN",
        "outputId": "0c8df7c5-50da-409e-bef1-d419bb1a9f7a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: nltk in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (3.8.1)\n",
            "Requirement already satisfied: click in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (from nltk) (8.1.3)\n",
            "Requirement already satisfied: joblib in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (from nltk) (1.2.0)\n",
            "Requirement already satisfied: regex>=2021.8.3 in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (from nltk) (2023.6.3)\n",
            "Requirement already satisfied: tqdm in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (from nltk) (4.65.0)\n",
            "Requirement already satisfied: colorama in c:\\users\\niraj\\pycharmprojects\\spamclasifier\\venv\\lib\\site-packages (from click->nltk) (0.4.6)\n"
          ]
        }
      ],
      "source": [
        "!pip install nltk"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:27.552107900Z",
          "start_time": "2023-06-30T10:44:27.541826600Z"
        },
        "id": "1tYWi6vA9rMN"
      },
      "outputs": [],
      "source": [
        "mail_data['num_characters'] = mail_data['text'].apply(len)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:27.596582500Z",
          "start_time": "2023-06-30T10:44:27.552810200Z"
        },
        "id": "QpRe8spH9rMN",
        "outputId": "78b7fb4a-f85a-4ff8-8ca5-a1fdb287f564"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  num_characters  \n0          0             327  \n1          0              97  \n2          0            2524  \n3          1             414  \n4          0             336  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n      <th>num_characters</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n      <td>327</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n      <td>97</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n      <td>2524</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n      <td>414</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n      <td>336</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 242,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:32.983670800Z",
          "start_time": "2023-06-30T10:44:27.564602500Z"
        },
        "id": "24pvzTr69rMN"
      },
      "outputs": [],
      "source": [
        "mail_data['num_words'] = mail_data['text'].apply(lambda x:len(nltk.word_tokenize(x)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:44:33.004861900Z",
          "start_time": "2023-06-30T10:44:32.987303Z"
        },
        "id": "KshxAU-X9rMN",
        "outputId": "a935ae2b-abb7-4776-8df5-53adee2d11ba"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  num_characters  num_words  \n0          0             327         68  \n1          0              97         24  \n2          0            2524        551  \n3          1             414         49  \n4          0             336         71  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n      <th>num_characters</th>\n      <th>num_words</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n      <td>327</td>\n      <td>68</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n      <td>97</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>551</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n      <td>414</td>\n      <td>49</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n      <td>336</td>\n      <td>71</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 244,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:27.838001700Z",
          "start_time": "2023-06-30T10:45:26.999181100Z"
        },
        "id": "uIohDYBw9rMO"
      },
      "outputs": [],
      "source": [
        "mail_data['num_sentences'] = mail_data['text'].apply(lambda x:len(nltk.sent_tokenize(x)))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:28.577692Z",
          "start_time": "2023-06-30T10:45:28.511942500Z"
        },
        "id": "CRZx7HW39rMO",
        "outputId": "5c9b47b6-a8bb-4687-8675-79f21bd4f8e6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  num_characters  num_words  num_sentences  \n0          0             327         68              3  \n1          0              97         24              3  \n2          0            2524        551             24  \n3          1             414         49              3  \n4          0             336         71              3  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n      <td>327</td>\n      <td>68</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n      <td>97</td>\n      <td>24</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>551</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n      <td>414</td>\n      <td>49</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n      <td>336</td>\n      <td>71</td>\n      <td>3</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 246,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:29.639361900Z",
          "start_time": "2023-06-30T10:45:29.575960500Z"
        },
        "id": "dbpAiod-9rMO",
        "outputId": "d9b08c75-b502-409a-e9eb-146f69ccd7cb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "       num_characters    num_words  num_sentences\ncount     5171.000000  5171.000000    5171.000000\nmean      1048.391994   229.181009      13.121253\nstd       1528.513435   336.487397      27.541637\nmin         11.000000     2.000000       1.000000\n25%        244.000000    52.000000       4.000000\n50%        540.000000   122.000000       7.000000\n75%       1237.000000   283.500000      15.000000\nmax      32258.000000  8863.000000    1204.000000",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>5171.000000</td>\n      <td>5171.000000</td>\n      <td>5171.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>1048.391994</td>\n      <td>229.181009</td>\n      <td>13.121253</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>1528.513435</td>\n      <td>336.487397</td>\n      <td>27.541637</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>11.000000</td>\n      <td>2.000000</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>244.000000</td>\n      <td>52.000000</td>\n      <td>4.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>540.000000</td>\n      <td>122.000000</td>\n      <td>7.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>1237.000000</td>\n      <td>283.500000</td>\n      <td>15.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>32258.000000</td>\n      <td>8863.000000</td>\n      <td>1204.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 247,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data[['num_characters','num_words','num_sentences']].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:30.655381400Z",
          "start_time": "2023-06-30T10:45:30.638448700Z"
        },
        "id": "1nZWFF3d9rMO",
        "outputId": "c07fb8aa-b4e2-41bd-d966-71299547c3ed"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "       num_characters    num_words  num_sentences\ncount     3672.000000  3672.000000    3672.000000\nmean       977.008170   226.239107      11.440904\nstd       1382.827493   332.179661      24.892442\nmin         18.000000     3.000000       1.000000\n25%        231.750000    51.000000       3.000000\n50%        530.000000   124.000000       6.000000\n75%       1227.250000   294.000000      13.000000\nmax      32258.000000  8863.000000    1204.000000",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>3672.000000</td>\n      <td>3672.000000</td>\n      <td>3672.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>977.008170</td>\n      <td>226.239107</td>\n      <td>11.440904</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>1382.827493</td>\n      <td>332.179661</td>\n      <td>24.892442</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>18.000000</td>\n      <td>3.000000</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>231.750000</td>\n      <td>51.000000</td>\n      <td>3.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>530.000000</td>\n      <td>124.000000</td>\n      <td>6.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>1227.250000</td>\n      <td>294.000000</td>\n      <td>13.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>32258.000000</td>\n      <td>8863.000000</td>\n      <td>1204.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 248,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# ham\n",
        "mail_data[mail_data['label'] == 1][['num_characters','num_words','num_sentences']].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:31.659954900Z",
          "start_time": "2023-06-30T10:45:31.641058300Z"
        },
        "id": "YnrNYN3E9rMO",
        "outputId": "b1612bdd-a493-4381-bfa8-184946b57fc2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "       num_characters    num_words  num_sentences\ncount     1499.000000  1499.000000    1499.000000\nmean      1223.256171   236.387592      17.237492\nstd       1825.986210   346.821249      32.796043\nmin         11.000000     2.000000       1.000000\n25%        283.000000    55.000000       4.000000\n50%        576.000000   116.000000       9.000000\n75%       1253.500000   244.000000      18.500000\nmax      22073.000000  3963.000000     693.000000",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>1499.000000</td>\n      <td>1499.000000</td>\n      <td>1499.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>1223.256171</td>\n      <td>236.387592</td>\n      <td>17.237492</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>1825.986210</td>\n      <td>346.821249</td>\n      <td>32.796043</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>11.000000</td>\n      <td>2.000000</td>\n      <td>1.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>283.000000</td>\n      <td>55.000000</td>\n      <td>4.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>576.000000</td>\n      <td>116.000000</td>\n      <td>9.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>1253.500000</td>\n      <td>244.000000</td>\n      <td>18.500000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>22073.000000</td>\n      <td>3963.000000</td>\n      <td>693.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 249,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#spam\n",
        "mail_data[mail_data['label'] == 0][['num_characters','num_words','num_sentences']].describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:32.708187400Z",
          "start_time": "2023-06-30T10:45:32.683354400Z"
        },
        "id": "7-Wg4nH99rMO"
      },
      "outputs": [],
      "source": [
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:34.046880400Z",
          "start_time": "2023-06-30T10:45:33.439492100Z"
        },
        "id": "hGYmegAa9rMO",
        "outputId": "fd617441-9d1e-40f1-981a-927d506d1024"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Axes: xlabel='num_characters', ylabel='Count'>"
          },
          "execution_count": 251,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "text/plain": "<Figure size 600x300 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(6,3))\n",
        "sns.histplot(mail_data[mail_data['label'] == 1]['num_characters'],)\n",
        "sns.histplot(mail_data[mail_data['label'] == 0]['num_characters'],color='red')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:34.808241300Z",
          "start_time": "2023-06-30T10:45:34.346360500Z"
        },
        "id": "USWa5tdE9rMO",
        "outputId": "3c15d8f8-ab9d-4d77-ec2d-96f5855c36c4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Axes: xlabel='num_words', ylabel='Count'>"
          },
          "execution_count": 252,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "text/plain": "<Figure size 600x300 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(6,3))\n",
        "sns.histplot(mail_data[mail_data['label'] == 1]['num_words'])\n",
        "sns.histplot(mail_data[mail_data['label'] == 0]['num_words'],color='red')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:45:48.288517900Z",
          "start_time": "2023-06-30T10:45:35.328823400Z"
        },
        "id": "T5kPUTaF9rMO",
        "outputId": "cd05fc68-021f-42f0-dfb0-83df6feb0ffb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<seaborn.axisgrid.PairGrid at 0x19ed64859d0>"
          },
          "execution_count": 253,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "text/plain": "<Figure size 1307.75x1250 with 30 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "sns.pairplot(mail_data,hue='label')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-20T07:27:47.000101300Z",
          "start_time": "2023-06-20T07:27:46.823213600Z"
        },
        "id": "iFhQ5cQc9rMO",
        "outputId": "e17b719a-8c5d-4136-f245-36a51fa5d115"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Axes: >"
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "text/plain": "<Figure size 640x480 with 2 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "\n",
        "# Select only numeric columns\n",
        "numeric_data = mail_data.select_dtypes(include='number')\n",
        "\n",
        "# Create correlation matrix and heatmap\n",
        "sns.heatmap(numeric_data.corr(), annot=True)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**3. Data Preprocessing**\n",
        "   Lower case\n",
        "   Tokenization\n",
        "   Removing special characters\n",
        "   Removing stop words and punctuation\n",
        "   Stemming\n"
      ],
      "metadata": {
        "collapsed": false,
        "id": "ZBHrgUmN9rMO"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:47:34.661701Z",
          "start_time": "2023-06-30T10:47:34.657481300Z"
        },
        "id": "yXeakbTV9rMO"
      },
      "outputs": [],
      "source": [
        "from nltk.stem.porter import PorterStemmer\n",
        "ps = PorterStemmer()\n",
        "import string\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "def transform_text(text):\n",
        "    text = text.lower()\n",
        "    text = nltk.word_tokenize(text)\n",
        "    y = []\n",
        "    for i in text:\n",
        "        if i.isalnum():\n",
        "            y.append(i)\n",
        "    text = y[:]\n",
        "    y.clear()\n",
        "    for i in text:\n",
        "        if i not in stopwords.words('english') and i not in string.punctuation:\n",
        "            y.append(i)\n",
        "    text = y[:]\n",
        "    y.clear()\n",
        "    for i in text:\n",
        "        y.append(ps.stem(i))\n",
        "    return \" \".join(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:47:35.468541Z",
          "start_time": "2023-06-30T10:47:35.421431300Z"
        },
        "id": "8lJXGvOp9rMP",
        "outputId": "a4af75d5-b4ac-4030-8572-fe037217fe40"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "'gon na home soon want talk stuff anymor tonight k cri enough today'"
          },
          "execution_count": 255,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "transform_text(\"I'm gonna be home soon and i don't want to talk about this stuff anymore tonight, k? I've cried enough today.\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:04.477428Z",
          "start_time": "2023-06-30T10:47:39.176226500Z"
        },
        "id": "_6GVgGKd9rMP"
      },
      "outputs": [],
      "source": [
        "mail_data['transformed_text'] = mail_data['text'].apply(transform_text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:04.489297100Z",
          "start_time": "2023-06-30T10:49:04.477428Z"
        },
        "id": "62lVSks79rMP",
        "outputId": "3614f82a-2cf8-4454-98a1-d01717c1aed1"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  num_characters  num_words  num_sentences  \\\n0          0             327         68              3   \n1          0              97         24              3   \n2          0            2524        551             24   \n3          1             414         49              3   \n4          0             336         71              3   \n\n                                    transformed_text  \n0  subject enron methanol meter 988291 follow not...  \n1  subject hpl nom januari 9 2001 see attach file...  \n2  subject neon retreat ho ho ho around wonder ti...  \n3  subject photoshop window offic cheap main tren...  \n4  subject indian spring deal book teco pvr reven...  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n      <th>transformed_text</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n      <td>327</td>\n      <td>68</td>\n      <td>3</td>\n      <td>subject enron methanol meter 988291 follow not...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n      <td>97</td>\n      <td>24</td>\n      <td>3</td>\n      <td>subject hpl nom januari 9 2001 see attach file...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>551</td>\n      <td>24</td>\n      <td>subject neon retreat ho ho ho around wonder ti...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n      <td>414</td>\n      <td>49</td>\n      <td>3</td>\n      <td>subject photoshop window offic cheap main tren...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n      <td>336</td>\n      <td>71</td>\n      <td>3</td>\n      <td>subject indian spring deal book teco pvr reven...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 257,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T07:28:53.147051900Z",
          "start_time": "2023-06-30T07:28:53.115470500Z"
        },
        "id": "OQyCTyA19rMT"
      },
      "outputs": [],
      "source": [
        "spam_corpus = []\n",
        "for msg in mail_data[mail_data['label'] == 0]['transformed_text'].tolist():\n",
        "    for word in msg.split():\n",
        "        spam_corpus.append(word)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:04.494697900Z",
          "start_time": "2023-06-30T10:49:04.488869200Z"
        },
        "id": "yaaBkwZw9rMT",
        "outputId": "cea0e626-9b92-490c-f5f5-8f857cb4d0e6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "197452"
          },
          "execution_count": 258,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(spam_corpus)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-20T07:34:34.807448500Z",
          "start_time": "2023-06-20T07:34:34.665714200Z"
        },
        "id": "m-4RjqaG9rMT",
        "outputId": "ef6db4b3-624d-4b23-8cab-7768d2bc21fa"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from collections import Counter\n",
        "\n",
        "spam_counter = Counter(spam_corpus)\n",
        "top_30_common = spam_counter.most_common(30)\n",
        "data_frame = pd.DataFrame(top_30_common, columns=['Text', 'Count'])\n",
        "\n",
        "sns.barplot(x='Text', y='Count', data=data_frame)\n",
        "plt.xticks(rotation='vertical')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T07:29:18.928639500Z",
          "start_time": "2023-06-30T07:29:18.755429300Z"
        },
        "id": "bja-s7v69rMT"
      },
      "outputs": [],
      "source": [
        "ham_corpus = []\n",
        "for msg in mail_data[mail_data['label'] == 1]['transformed_text'].tolist():\n",
        "    for word in msg.split():\n",
        "        ham_corpus.append(word)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T07:29:19.955419200Z",
          "start_time": "2023-06-30T07:29:19.860492500Z"
        },
        "id": "brU34w3w9rMT",
        "outputId": "623a1b95-8629-46af-fb11-881aeef4c488"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "388650"
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "len(ham_corpus)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T07:30:51.110992700Z",
          "start_time": "2023-06-30T07:30:50.614949400Z"
        },
        "id": "WQ4Xnf9l9rMT",
        "outputId": "46015e04-6155-4804-ca1a-f794fa7ea60e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from collections import Counter\n",
        "ham_counter = Counter(ham_corpus)\n",
        "top_30_common = ham_counter.most_common(30)\n",
        "data_frame = pd.DataFrame(top_30_common, columns=['Text', 'Count'])\n",
        "sns.barplot(x='Text', y='Count', data=data_frame)\n",
        "plt.xticks(rotation='vertical')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:04.552057700Z",
          "start_time": "2023-06-30T10:49:04.494697900Z"
        },
        "id": "V3Yr4tDt9rMT",
        "outputId": "eb3dadb0-b3f7-4e27-a40a-757865761bd7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "   Unnamed: 0 label                                               text  \\\n0         605     1  Subject: enron methanol ; meter # : 988291\\r\\n...   \n1        2349     1  Subject: hpl nom for january 9 , 2001\\r\\n( see...   \n2        3624     1  Subject: neon retreat\\r\\nho ho ho , we ' re ar...   \n3        4685     0  Subject: photoshop , windows , office . cheap ...   \n4        2030     1  Subject: re : indian springs\\r\\nthis deal is t...   \n\n   label_num  num_characters  num_words  num_sentences  \\\n0          0             327         68              3   \n1          0              97         24              3   \n2          0            2524        551             24   \n3          1             414         49              3   \n4          0             336         71              3   \n\n                                    transformed_text  \n0  subject enron methanol meter 988291 follow not...  \n1  subject hpl nom januari 9 2001 see attach file...  \n2  subject neon retreat ho ho ho around wonder ti...  \n3  subject photoshop window offic cheap main tren...  \n4  subject indian spring deal book teco pvr reven...  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Unnamed: 0</th>\n      <th>label</th>\n      <th>text</th>\n      <th>label_num</th>\n      <th>num_characters</th>\n      <th>num_words</th>\n      <th>num_sentences</th>\n      <th>transformed_text</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>605</td>\n      <td>1</td>\n      <td>Subject: enron methanol ; meter # : 988291\\r\\n...</td>\n      <td>0</td>\n      <td>327</td>\n      <td>68</td>\n      <td>3</td>\n      <td>subject enron methanol meter 988291 follow not...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2349</td>\n      <td>1</td>\n      <td>Subject: hpl nom for january 9 , 2001\\r\\n( see...</td>\n      <td>0</td>\n      <td>97</td>\n      <td>24</td>\n      <td>3</td>\n      <td>subject hpl nom januari 9 2001 see attach file...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3624</td>\n      <td>1</td>\n      <td>Subject: neon retreat\\r\\nho ho ho , we ' re ar...</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>551</td>\n      <td>24</td>\n      <td>subject neon retreat ho ho ho around wonder ti...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4685</td>\n      <td>0</td>\n      <td>Subject: photoshop , windows , office . cheap ...</td>\n      <td>1</td>\n      <td>414</td>\n      <td>49</td>\n      <td>3</td>\n      <td>subject photoshop window offic cheap main tren...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2030</td>\n      <td>1</td>\n      <td>Subject: re : indian springs\\r\\nthis deal is t...</td>\n      <td>0</td>\n      <td>336</td>\n      <td>71</td>\n      <td>3</td>\n      <td>subject indian spring deal book teco pvr reven...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "execution_count": 259,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# Text Vectorization\n",
        "# using Bag of Words\n",
        "mail_data.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OP2eo4sB9rMT"
      },
      "source": [
        "**model building**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:11.173385700Z",
          "start_time": "2023-06-30T10:49:11.161330200Z"
        },
        "id": "qaRDlo9r9rMT"
      },
      "outputs": [],
      "source": [
        "cv= CountVectorizer()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:12.174211600Z",
          "start_time": "2023-06-30T10:49:12.142566700Z"
        },
        "id": "E4KQ2e279rMT"
      },
      "outputs": [],
      "source": [
        "X=mail_data['text']\n",
        "Y=mail_data['label']\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:12.987380Z",
          "start_time": "2023-06-30T10:49:12.987380Z"
        },
        "id": "8TWSXf5A9rMT"
      },
      "outputs": [],
      "source": [
        "X_train,X_test,Y_train,Y_test = train_test_split(X,Y,test_size=0.2,random_state=3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T10:49:13.750652700Z",
          "start_time": "2023-06-30T10:49:13.672308300Z"
        },
        "id": "Q9-vN6ne9rMT",
        "outputId": "0755dec8-2630-4670-a563-bbafe8224dcf"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(5171,)\n",
            "(1035,)\n",
            "(4136,)\n"
          ]
        }
      ],
      "source": [
        "print(X.shape)\n",
        "print(X_test.shape)\n",
        "print(X_train.shape)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**feature extraction**"
      ],
      "metadata": {
        "collapsed": false,
        "id": "M5rcCTd89rMU"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:00:56.243540100Z",
          "start_time": "2023-06-30T11:00:55.845963700Z"
        },
        "id": "LKiCV6-79rMU"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import LabelEncoder\n",
        "\n",
        "# Create an instance of TfidfVectorizer\n",
        "tfidf = TfidfVectorizer(min_df=1, stop_words='english', lowercase=True)\n",
        "\n",
        "# Fit the vectorizer on the preprocessed training data\n",
        "X_train_features = tfidf.fit_transform(X_train)\n",
        "\n",
        "# Transform the preprocessed test data using the same vectorizer\n",
        "X_test_features = tfidf.transform(X_test)\n",
        "\n",
        "# Convert the target labels to integers using label encoding\n",
        "label_encoder = LabelEncoder()\n",
        "Y_train = label_encoder.fit_transform(Y_train)\n",
        "Y_test = label_encoder.transform(Y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:07.588069200Z",
          "start_time": "2023-06-30T11:01:07.582382500Z"
        },
        "id": "8W_pt08L9rMU",
        "outputId": "cb66fe65-f4e9-4077-f942-92e6a174d712"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "2209    Subject: hplc to wellhead\\r\\ndaren here is the...\n",
            "2000    Subject: mobil chemical - hpl meter # 1256 - e...\n",
            "5030    Subject: revised nom 5 / 5 - eastrans ; revise...\n",
            "1376    Subject: re : exxon company , usa global # 960...\n",
            "1564    Subject: your pharmacy nx\\r\\nwant a cheap pain...\n",
            "                              ...                        \n",
            "789     Subject: incr ' ease yo ' ur man ' hood by 4 -...\n",
            "968     Subject: subscribers receive first notice on r...\n",
            "1667    Subject: neon for march 28\\r\\nhere is the neon...\n",
            "3321    Subject: re : first delivery - pure resources ...\n",
            "1688    Subject: enhance your chest size\\r\\nemail is l...\n",
            "Name: text, Length: 4136, dtype: object\n"
          ]
        }
      ],
      "source": [
        "print(X_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:08.398590100Z",
          "start_time": "2023-06-30T11:01:08.382452100Z"
        },
        "id": "yGNhbluI9rMU",
        "outputId": "c341b2e8-a749-4494-f79c-b1a13967f425"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "  (0, 3871)\t0.13387711316973605\n",
            "  (0, 531)\t0.14556222812251965\n",
            "  (0, 30451)\t0.08468916670398006\n",
            "  (0, 43273)\t0.14556222812251965\n",
            "  (0, 3890)\t0.14556222812251965\n",
            "  (0, 548)\t0.14556222812251965\n",
            "  (0, 37262)\t0.11275796314501375\n",
            "  (0, 2908)\t0.11535664415295803\n",
            "  (0, 456)\t0.14556222812251965\n",
            "  (0, 26297)\t0.09506000151609588\n",
            "  (0, 36190)\t0.11400727959297849\n",
            "  (0, 2478)\t0.13872687405852518\n",
            "  (0, 521)\t0.14556222812251965\n",
            "  (0, 16808)\t0.11843023142166303\n",
            "  (0, 22041)\t0.13387711316973605\n",
            "  (0, 2706)\t0.14556222812251965\n",
            "  (0, 522)\t0.14556222812251965\n",
            "  (0, 32060)\t0.07311834410351342\n",
            "  (0, 19411)\t0.04211028825505044\n",
            "  (0, 2537)\t0.13872687405852518\n",
            "  (0, 517)\t0.14556222812251965\n",
            "  (0, 19429)\t0.14556222812251965\n",
            "  (0, 16637)\t0.24438399643390496\n",
            "  (0, 3875)\t0.14556222812251965\n",
            "  (0, 836)\t0.14556222812251965\n",
            "  :\t:\n",
            "  (4135, 8873)\t0.07154271542163933\n",
            "  (4135, 16161)\t0.07327358549803296\n",
            "  (4135, 26936)\t0.07154271542163933\n",
            "  (4135, 15691)\t0.07812310961344454\n",
            "  (4135, 14167)\t0.07812310961344454\n",
            "  (4135, 11832)\t0.07539199926380867\n",
            "  (4135, 4961)\t0.07539199926380867\n",
            "  (4135, 7395)\t0.07154271542163933\n",
            "  (4135, 10238)\t0.06669319130622776\n",
            "  (4135, 29033)\t0.057994383348646844\n",
            "  (4135, 22458)\t0.05353240292261735\n",
            "  (4135, 14390)\t0.05726375354549545\n",
            "  (4135, 16537)\t0.07154271542163933\n",
            "  (4135, 42960)\t0.06496232122983413\n",
            "  (4135, 16217)\t0.06769343157946998\n",
            "  (4135, 26408)\t0.046488819206390516\n",
            "  (4135, 14282)\t0.06669319130622776\n",
            "  (4135, 27714)\t0.031300464660012135\n",
            "  (4135, 16475)\t0.03146157037949769\n",
            "  (4135, 38725)\t0.04124090788006661\n",
            "  (4135, 43426)\t0.05920796972538574\n",
            "  (4135, 20748)\t0.05068335935369024\n",
            "  (4135, 14513)\t0.056585357723181545\n",
            "  (4135, 36190)\t0.06420243561903816\n",
            "  (4135, 38946)\t0.009493502067611905\n"
          ]
        }
      ],
      "source": [
        "print(X_train_features)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[1 1 1 ... 1 1 0]\n"
          ]
        }
      ],
      "source": [
        "print(Y_train)"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:12.243382100Z",
          "start_time": "2023-06-30T11:01:12.237651700Z"
        },
        "id": "qsepIhBL9rMU",
        "outputId": "7d5a8928-a61b-494c-fbbc-49824213364a"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:13.061236500Z",
          "start_time": "2023-06-30T11:01:13.014352700Z"
        },
        "id": "hnjUK5Nd9rMU"
      },
      "outputs": [],
      "source": [
        "model = LogisticRegression()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:14.573093600Z",
          "start_time": "2023-06-30T11:01:14.197312800Z"
        },
        "id": "SGUeH6mC9rMU",
        "outputId": "bc0e04e5-7d50-44f4-ca72-eecc4d346469"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "LogisticRegression()",
            "text/html": "<style>#sk-container-id-11 {color: black;background-color: white;}#sk-container-id-11 pre{padding: 0;}#sk-container-id-11 div.sk-toggleable {background-color: white;}#sk-container-id-11 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-11 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-11 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-11 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-11 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-11 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-11 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-11 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-11 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-11 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-11 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-11 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-11 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-11 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-11 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-11 div.sk-item {position: relative;z-index: 1;}#sk-container-id-11 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-11 div.sk-item::before, #sk-container-id-11 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-11 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-11 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-11 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-11 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-11 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-11 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-11 div.sk-label-container {text-align: center;}#sk-container-id-11 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-11 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-11\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" checked><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
          },
          "execution_count": 300,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.fit(X_train_features,Y_train)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Evaluating the trained model**"
      ],
      "metadata": {
        "collapsed": false,
        "id": "_8AILP0j9rMU"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:16.124090200Z",
          "start_time": "2023-06-30T11:01:16.092875500Z"
        },
        "id": "ie-m6asy9rMU"
      },
      "outputs": [],
      "source": [
        "#prediction on training data\n",
        "prediction_on_training_data=model.predict(X_train_features)\n",
        "accuracy_on_training_data=accuracy_score(Y_train,prediction_on_training_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:17.059992900Z",
          "start_time": "2023-06-30T11:01:17.044061Z"
        },
        "id": "CfEuIPlO9rMU",
        "outputId": "139b91dc-aab2-456c-fef2-9828fd31e23c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Accuracy on training data: 0.9970986460348162\n"
          ]
        }
      ],
      "source": [
        "print('Accuracy on training data:',accuracy_on_training_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:18.417735400Z",
          "start_time": "2023-06-30T11:01:18.401862500Z"
        },
        "id": "n8P01rPX9rMU"
      },
      "outputs": [],
      "source": [
        "#prediction on the test data\n",
        "prediction_on_test_data=model.predict(X_test_features)\n",
        "accuracy_on_test_data=accuracy_score(Y_test,prediction_on_test_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:19.142474100Z",
          "start_time": "2023-06-30T11:01:19.095210600Z"
        },
        "id": "mNWZ3IRO9rMV",
        "outputId": "a81e67f1-cd5b-4fdb-e016-9ed5408a5a24"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "accuracy on test data : 0.9806763285024155\n"
          ]
        }
      ],
      "source": [
        "print('accuracy on test data :',accuracy_on_test_data)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**MNB**"
      ],
      "metadata": {
        "collapsed": false,
        "id": "A0b1lnHt9rMV"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [],
      "source": [
        "from sklearn.naive_bayes import MultinomialNB"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:20.829426800Z",
          "start_time": "2023-06-30T11:01:20.823411700Z"
        },
        "id": "S6-BedKZ9rMV"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:21.686500900Z",
          "start_time": "2023-06-30T11:01:21.685996300Z"
        },
        "id": "OsYAhBM89rMV"
      },
      "outputs": [],
      "source": [
        "mnb=MultinomialNB()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:22.336563200Z",
          "start_time": "2023-06-30T11:01:22.320646100Z"
        },
        "id": "ivl9fW8w9rMV",
        "outputId": "56c42930-280b-44a7-d7d6-5748f9b6c105"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "MultinomialNB()",
            "text/html": "<style>#sk-container-id-12 {color: black;background-color: white;}#sk-container-id-12 pre{padding: 0;}#sk-container-id-12 div.sk-toggleable {background-color: white;}#sk-container-id-12 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-12 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-12 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-12 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-12 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-12 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-12 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-12 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-12 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-12 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-12 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-12 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-12 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-12 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-12 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-12 div.sk-item {position: relative;z-index: 1;}#sk-container-id-12 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-12 div.sk-item::before, #sk-container-id-12 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-12 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-12 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-12 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-12 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-12 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-12 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-12 div.sk-label-container {text-align: center;}#sk-container-id-12 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-12 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-12\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MultinomialNB()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" checked><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MultinomialNB</label><div class=\"sk-toggleable__content\"><pre>MultinomialNB()</pre></div></div></div></div></div>"
          },
          "execution_count": 307,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mnb.fit(X_train_features, Y_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:33.230116200Z",
          "start_time": "2023-06-30T11:01:33.198554300Z"
        },
        "id": "TLYfzAhP9rMV",
        "outputId": "6ef8dea1-7825-4b65-a472-4be857d429b6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "0.9130434782608695"
          },
          "execution_count": 309,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "mnb.score(X_test_features, Y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:34.031917700Z",
          "start_time": "2023-06-30T11:01:34.015533300Z"
        },
        "id": "G3sayAPC9rMV"
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, recall_score"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:34.857792100Z",
          "start_time": "2023-06-30T11:01:34.826244400Z"
        },
        "id": "UFo-a1t59rMV",
        "outputId": "3fe75629-1ece-4b3f-f56a-d6c8f25f5758"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "array([[302,   4],\n       [ 16, 713]], dtype=int64)"
          },
          "execution_count": 311,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "confusion_matrix(Y_test, prediction_on_test_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:35.803916Z",
          "start_time": "2023-06-30T11:01:35.787981500Z"
        },
        "id": "pGcAlb2b9rMV",
        "outputId": "9f04fd35-80bf-4bb1-9d32-4358d2c8125d"
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      "outputs": [
        {
          "data": {
            "text/plain": "0.9944211994421199"
          },
          "execution_count": 312,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "precision_score(Y_test, prediction_on_test_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:37.019117400Z",
          "start_time": "2023-06-30T11:01:37.003084800Z"
        },
        "id": "vfcy6r7c9rMV",
        "outputId": "bd4c57cc-0ea1-410a-b5ee-1e29c7b0da93"
      },
      "outputs": [
        {
          "data": {
            "text/plain": "0.9780521262002744"
          },
          "execution_count": 313,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "recall_score(Y_test, prediction_on_test_data)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": "1"
          },
          "execution_count": 314,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "email1 = ['Hey mohan, can we get together to watch footbal game tomorrow?']\n",
        "email1 = tfidf.transform(email1)\n",
        "email1\n",
        "mnb.predict(email1)[0]\n"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:38.213257300Z",
          "start_time": "2023-06-30T11:01:38.195048200Z"
        },
        "id": "dgd2GYCV9rMV",
        "outputId": "2cf8ec51-36a5-4cb5-de73-a658d90b25dd"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": "1"
          },
          "execution_count": 315,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.predict(email1)[0]"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:40.855084100Z",
          "start_time": "2023-06-30T11:01:40.839175800Z"
        },
        "id": "bsUsIu0X9rMV",
        "outputId": "208ce1fc-2572-49f8-90b1-4f09791086a2"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": "0"
          },
          "execution_count": 316,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "\n",
        "email2 = ['Hey, you won 1 million dollars, please send us your bank account details']\n",
        "email2 = tfidf.transform(email2)\n",
        "mnb.predict(email2)[0]\n"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:43.518813800Z",
          "start_time": "2023-06-30T11:01:43.499070800Z"
        },
        "id": "LwENbhx49rMW",
        "outputId": "42cf9574-5ff1-4244-9020-7761e1c18288"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [
        {
          "data": {
            "text/plain": "0"
          },
          "execution_count": 317,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.predict(email2)[0]"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T11:01:45.421766Z",
          "start_time": "2023-06-30T11:01:45.390038200Z"
        },
        "id": "Pv7eitZO9rMW",
        "outputId": "0ade4dba-4690-4f03-96a2-41521f2f3284"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [],
      "source": [
        "import pickle\n",
        "pickle.dump(model, open('model.pkl', 'wb'))\n",
        "pickle.dump(tfidf, open('tfidf.pkl', 'wb'))\n"
      ],
      "metadata": {
        "ExecuteTime": {
          "end_time": "2023-06-30T14:16:20.079386200Z",
          "start_time": "2023-06-30T14:16:20.053098900Z"
        },
        "id": "8Ds-jW1T9rMW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#deployment with streamlit"
      ],
      "metadata": {
        "id": "WSVOyJvZImhJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\"\"\"import streamlit as st\n",
        "import pickle\n",
        "from win32com.client import Dispatch\n",
        "\n",
        "\n",
        "def speak(text):\n",
        "    speak = Dispatch((\"SAPI.SpVoice\"))\n",
        "    speak.Speak(text)\n",
        "\n",
        "tfidf = pickle.load(open('tfidf.pkl', 'rb'))\n",
        "model = pickle.load(open('model.pkl', 'rb'))\n",
        "\n",
        "def main():\n",
        "    st.title(\"Email Spam Classification Application\")\n",
        "    st.write(\"Built with Streamlit & Python\")\n",
        "    activities = [\"Classification\", \"About\"]\n",
        "    choices = st.sidebar.selectbox(\"Select Activities\", activities)\n",
        "\n",
        "    if choices == \"Classification\":\n",
        "        st.subheader(\"Classification\")\n",
        "        msg = st.text_area(\"Enter a text\", height=200)\n",
        "\n",
        "        if st.button(\"Process\"):\n",
        "            # Preprocess and transform the input data using the same vectorizer\n",
        "            data = [msg]\n",
        "            data = tfidf.transform(data)\n",
        "            print(data)\n",
        "            # Predict the labels using the trained model\n",
        "            result = model.predict(data)[0]\n",
        "            print(result)\n",
        "            if result == 1:\n",
        "                st.success(\"This is a Ham Email\")\n",
        "                speak(\"This is a Ham Email\")\n",
        "            elif result == 0:\n",
        "                st.error(\"This is a Spam Email\")\n",
        "                speak(\"This is a Spam Email\")\n",
        "\n",
        "if __name__ == '__main__':\n",
        "    main()\"\"\"\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244
        },
        "id": "r3Ig53XxFj5Q",
        "outputId": "3c4ccdc9-4d81-4fe2-aee8-f83c720a19cb"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'import streamlit as st\\nimport pickle\\nfrom win32com.client import Dispatch\\n\\n\\ndef speak(text):\\n    speak = Dispatch((\"SAPI.SpVoice\"))\\n    speak.Speak(text)\\n\\ntfidf = pickle.load(open(\\'tfidf.pkl\\', \\'rb\\'))\\nmodel = pickle.load(open(\\'model.pkl\\', \\'rb\\'))\\n\\ndef main():\\n    st.title(\"Email Spam Classification Application\")\\n    st.write(\"Built with Streamlit & Python\")\\n    activities = [\"Classification\", \"About\"]\\n    choices = st.sidebar.selectbox(\"Select Activities\", activities)\\n\\n    if choices == \"Classification\":\\n        st.subheader(\"Classification\")\\n        msg = st.text_area(\"Enter a text\", height=200)\\n\\n        if st.button(\"Process\"):\\n            # Preprocess and transform the input data using the same vectorizer\\n            data = [msg]\\n            data = tfidf.transform(data)\\n            print(data)\\n            # Predict the labels using the trained model\\n            result = model.predict(data)[0]\\n            print(result)\\n            if result == 1:\\n                st.success(\"This is a Ham Email\")\\n                speak(\"This is a Ham Email\")\\n            elif result == 0:\\n                st.error(\"This is a Spam Email\")\\n                speak(\"This is a Spam Email\")\\n\\nif __name__ == \\'__main__\\':\\n    main()'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#gui"
      ],
      "metadata": {
        "id": "JsREXwpXIsrk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# import pickle\n",
        "# from tkinter import messagebox\n",
        "# import tkinter as tk\n",
        "# from win32com.client import Dispatch\n",
        "\n",
        "# def text_to_speech(text):\n",
        "#     speaker = Dispatch(\"SAPI.SpVoice\")\n",
        "#     speaker.Speak(text)\n",
        "\n",
        "# model = pickle.load(open('model.pkl', 'rb'))\n",
        "# tfidf= pickle.load(open('tfidf.pkl', 'rb'))\n",
        "\n",
        "# def result():\n",
        "#     data = [text.get(\"1.0\", \"end-1c\")]  # get text from 1st line to last line\n",
        "#     data = tfidf.transform(data)\n",
        "\n",
        "#     my_prediction = model.predict(data)\n",
        "#     print(my_prediction[0])\n",
        "#     if my_prediction[0] == 0:\n",
        "#         text_to_speech(\"This is a Spam mail\")\n",
        "#         messagebox.showinfo(\"Result\", \"This is a Spam mail\")\n",
        "#     elif my_prediction[0] == 1:\n",
        "#         text_to_speech(\"This is a Ham mail\")\n",
        "#         messagebox.showinfo(\"Result\", \"This is a Ham mail\")\n",
        "\n",
        "# root = tk.Tk()\n",
        "# root.geometry(\"400x400\")\n",
        "\n",
        "# l2 = tk.Label(root, text=\"Email Spam Classification Application\")\n",
        "# l2.pack()\n",
        "\n",
        "# l1 = tk.Label(root, text=\"Enter Your Message:\")\n",
        "# l1.pack()\n",
        "\n",
        "# text = tk.Text(root, width=40, height=10)\n",
        "# text.pack()\n",
        "\n",
        "# button = tk.Button(root, text=\"Click\", command=result, width=20, height=2,\n",
        "#                    font=(\"Arial\", 14, \"bold\"), fg=\"white\",bg=\"darkblue\",\n",
        "#                    activebackground=\"darkblue\", activeforeground=\"white\",\n",
        "#                    relief=tk.RAISED)\n",
        "# button.pack(pady=10)\n",
        "\n",
        "# root.mainloop()\n"
      ],
      "metadata": {
        "id": "-cWd93KWIzYo"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.13"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}