NLP_Spam_Email_Detection.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/HarikrishnanK9/Spam_Email_Detection/blob/main/NLP_Spam_Email_Detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Importing Necessary Libraries"
      ],
      "metadata": {
        "id": "zymG8YXTGVor"
      }
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hCUqLhP9zkzB"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import nltk\n",
        "import re\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ]
    },
    {
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      "execution_count": null,
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        "id": "xNbrRWdKH23A",
        "outputId": "a2c0ddd1-4fd7-4e5b-e679-42e7793fc830"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "nltk.download(\"stopwords\")\n",
        "nltk.download(\"punkt\")\n",
        "nltk.download(\"wordnet\")"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Loading Dataset"
      ],
      "metadata": {
        "id": "hdpDSIe4ySW0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2M38ESDPzrc5",
        "outputId": "2bac9f4c-0f28-4b32-a71e-14b924156907"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!cp '/content/drive/MyDrive/NLP_ML_Datasets/Phishing_Email.csv' '/content/'"
      ],
      "metadata": {
        "id": "wXD7w712ih93"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "yUzeb_LUz7zI"
      },
      "outputs": [],
      "source": [
        "df=pd.read_csv(\"/content/Phishing_Email.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
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          "height": 206
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        "id": "O7Y6UMsJfkrU",
        "outputId": "dea216bb-fce0-4075-89db-97344cdb04c3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Unnamed: 0                                         Email Text  \\\n",
              "0           0  re : 6 . 1100 , disc : uniformitarianism , re ...   \n",
              "1           1  the other side of * galicismos * * galicismo *...   \n",
              "2           2  re : equistar deal tickets are you still avail...   \n",
              "3           3  \\nHello I am your hot lil horny toy.\\n    I am...   \n",
              "4           4  software at incredibly low prices ( 86 % lower...   \n",
              "\n",
              "       Email Type  \n",
              "0      Safe Email  \n",
              "1      Safe Email  \n",
              "2      Safe Email  \n",
              "3  Phishing Email  \n",
              "4  Phishing Email  "
            ],
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "    </tr>\n",
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              "      <th>3</th>\n",
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          "metadata": {},
          "execution_count": 99
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    {
      "cell_type": "code",
      "source": [
        "df['Email Type'].unique()"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "8yoFmld5seVe",
        "outputId": "d18a89a0-312c-492f-d97b-f8e3f60f8081"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Safe Email', 'Phishing Email'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.dtypes"
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        "id": "Ss_ql48Bfkup",
        "outputId": "44074c29-8021-45ab-8275-f425beb67af5"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0     int64\n",
              "Email Text    object\n",
              "Email Type    object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 101
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
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        "outputId": "1de4a31f-382f-4800-d984-d25d060cd207"
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      "outputs": [
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          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 18650 entries, 0 to 18649\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype \n",
            "---  ------      --------------  ----- \n",
            " 0   Unnamed: 0  18650 non-null  int64 \n",
            " 1   Email Text  18634 non-null  object\n",
            " 2   Email Type  18650 non-null  object\n",
            "dtypes: int64(1), object(2)\n",
            "memory usage: 437.2+ KB\n"
          ]
        }
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "7qJEsJba0G8B"
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      "source": [
        "df.dropna(inplace=True)"
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      "metadata": {
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      "source": [
        "df.drop([\"Unnamed: 0\"],inplace=True,axis=1)"
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              "<Figure size 640x480 with 1 Axes>"
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AoKoo10zTO++8Iz8/P61du1ZvvfWWpkyZYi5Tp06t0AJ//vlnPfDAAwoODpa3t7eio6O1efNmc7thGEpMTFRYWJi8vb0VGxurffv2OY1x7NgxDRgwQHa7XYGBgYqPj1d+fr5Tn23btqljx47y8vJSRESEJk2aVKHnAQAAqrdyzTQdOHCgous4r+PHj+vWW29V586dtXTpUtWqVUv79u1TUFCQ2WfSpEmaNm2a5syZo6ioKD333HOKi4vTrl275OXlJUkaMGCAMjIylJSUpOLiYj3yyCMaMmSI5s2bJ+nMHxru2rWrYmNjNXPmTG3fvl2DBg1SYGCghgwZclXOFQAAVG3lfk7T1TBx4kRFRERo1qxZZltUVJT5tWEYmjp1qsaNG6e77rpLkvTBBx8oJCRECxcuVL9+/bR7924tW7ZMmzZtUuvWrSVJ06dPV/fu3fX6668rPDxcc+fOVVFRkd5//315eHioadOm2rJliyZPnnzB0FRYWKjCwkJzPS8v70q8BAAAoIooV2gaNGjQRbe///775Srm1xYtWqS4uDj17dtXa9eu1XXXXafHHntMgwcPlnRmxiszM1OxsbHmPgEBAWrbtq2Sk5PVr18/JScnKzAw0AxMkhQbGysXFxelpKTo7rvvVnJysjp16iQPDw+zT1xcnCZOnKjjx487zWydNWHCBL3wwgsVcp4AAKDqK/cjB85dsrOztWrVKn366afKycmpsOL++9//asaMGWrQoIGWL1+uYcOG6YknntCcOXMkSZmZmZKkkJAQp/1CQkLMbZmZmapdu7bTdjc3N9WoUcOpz/nGOPcYvzZ27Fjl5uaaS3p6+mWeLQAAqMrKNdO0YMGCMm0Oh0PDhg3TDTfccNlFnTtm69at9de//lWSdNNNN2nHjh2aOXOmBg4cWGHHKQ9PT095enpWag0AAODqKddM03kHcnHRyJEjNWXKlIoaUmFhYWrSpIlTW+PGjZWWliZJCg0NlSRlZWU59cnKyjK3hYaGKjs722l7SUmJjh075tTnfGOcewwAAPD7VmGhSZL279+vkpKSChvv1ltv1d69e53avv/+e0VGRko6c1N4aGioVq5caW7Py8tTSkqKYmJiJEkxMTHKyclRamqq2WfVqlVyOBxq27at2WfdunUqLi42+yQlJalhw4bnvZ8JAAD8/pTr8tzIkSOd1g3DUEZGhpYsWVKhl82efPJJtW/fXn/961917733auPGjXrnnXf0zjvvSDrzx4FHjBihl19+WQ0aNDAfORAeHq5evXpJOjMz1a1bNw0ePFgzZ85UcXGxhg8frn79+ik8PFyS1L9/f73wwguKj4/X6NGjtWPHDr355psVOmsGAACqt3KFpu+++85p3cXFRbVq1dIbb7xxyU/W/RZt2rTRggULNHbsWL344ouKiorS1KlTNWDAALPPM888o5MnT2rIkCHKyclRhw4dtGzZMvMZTZI0d+5cDR8+XLfffrtcXFzUu3dvTZs2zdweEBCgFStWKCEhQa1atVLNmjWVmJjIM5oAAIDJZhiGUdlFXAvy8vIUEBCg3Nxc2e32K3acVqM+uGJjA9VV6msPVXYJFSLtxejKLgGocuombr+i4/+Wn9+X9XDLw4cPm/ccNWzYULVq1bqc4QAAAKqsct0IfvLkSQ0aNEhhYWHq1KmTOnXqpPDwcMXHx6ugoKCiawQAAKh05QpNI0eO1Nq1a/X5558rJydHOTk5+uyzz7R27Vo99dRTFV0jAABApSvX5bn//Oc/+uSTT3TbbbeZbd27d5e3t7fuvfdezZgxo6LqAwAAqBLKNdNUUFBQ5s+OSFLt2rW5PAcAAK5J5QpNMTExev7553X69Gmz7dSpU3rhhRfMh0oCAABcS8p1eW7q1Knq1q2b6tSpoxYtWkiStm7dKk9PT61YsaJCCwQAAKgKyhWaoqOjtW/fPs2dO1d79uyRJN1///0aMGCAvL29K7RAAACAqqBcoWnChAkKCQnR4MGDndrff/99HT58WKNHj66Q4gAAAKqKct3T9Pe//12NGjUq0960aVPNnDnzsosCAACoasoVmjIzMxUWFlamvVatWsrIyLjsogAAAKqacoWmiIgIrV+/vkz7+vXrFR4eftlFAQAAVDXluqdp8ODBGjFihIqLi9WlSxdJ0sqVK/XMM8/wRHAAAHBNKldoGjVqlI4eParHHntMRUVFkiQvLy+NHj1aY8eOrdACAQAAqoJyhSabzaaJEyfqueee0+7du+Xt7a0GDRrI09OzousDAACoEsoVms7y8/NTmzZtKqoWAACAKqtcN4IDAAD83hCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABYQmgAAACwgNAEAAFhAaAIAALCA0AQAAGABoQkAAMACQhMAAIAFhCYAAAALCE0AAAAWEJoAAAAsIDQBAABYQGgCAACwgNAEAABgAaEJAADAAkITAACABYQmAAAACwhNAAAAFhCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABYQmgAAACwgNAEAAFhQrULTq6++KpvNphEjRphtp0+fVkJCgoKDg+Xn56fevXsrKyvLab+0tDT16NFDPj4+ql27tkaNGqWSkhKnPmvWrNHNN98sT09P1a9fX7Nnz74KZwQAAKqLahOaNm3apL///e9q3ry5U/uTTz6pzz//XB9//LHWrl2rQ4cO6Z577jG3l5aWqkePHioqKtKGDRs0Z84czZ49W4mJiWafAwcOqEePHurcubO2bNmiESNG6NFHH9Xy5cuv2vkBAICqrVqEpvz8fA0YMEDvvvuugoKCzPbc3Fz94x//0OTJk9WlSxe1atVKs2bN0oYNG/TNN99IklasWKFdu3bpX//6l1q2bKk77rhDL730kt5++20VFRVJkmbOnKmoqCi98cYbaty4sYYPH64+ffpoypQpF6ypsLBQeXl5TgsAALh2VYvQlJCQoB49eig2NtapPTU1VcXFxU7tjRo1Ut26dZWcnCxJSk5OVnR0tEJCQsw+cXFxysvL086dO80+vx47Li7OHON8JkyYoICAAHOJiIi47PMEAABVV5UPTR9++KG+/fZbTZgwocy2zMxMeXh4KDAw0Kk9JCREmZmZZp9zA9PZ7We3XaxPXl6eTp06dd66xo4dq9zcXHNJT08v1/kBAIDqwa2yC7iY9PR0/fnPf1ZSUpK8vLwquxwnnp6e8vT0rOwyAADAVVKlZ5pSU1OVnZ2tm2++WW5ubnJzc9PatWs1bdo0ubm5KSQkREVFRcrJyXHaLysrS6GhoZKk0NDQMp+mO7t+qT52u13e3t5X6OwAAEB1UqVD0+23367t27dry5Yt5tK6dWsNGDDA/Nrd3V0rV64099m7d6/S0tIUExMjSYqJidH27duVnZ1t9klKSpLdbleTJk3MPueOcbbP2TEAAACq9OU5f39/NWvWzKnN19dXwcHBZnt8fLxGjhypGjVqyG636/HHH1dMTIzatWsnSeratauaNGmiBx98UJMmTVJmZqbGjRunhIQE8/Lan/70J7311lt65plnNGjQIK1atUofffSRlixZcnVPGAAAVFlVOjRZMWXKFLm4uKh3794qLCxUXFyc/va3v5nbXV1dtXjxYg0bNkwxMTHy9fXVwIED9eKLL5p9oqKitGTJEj355JN68803VadOHb333nuKi4urjFMCAABVkM0wDKOyi7gW5OXlKSAgQLm5ubLb7VfsOK1GfXDFxgaqq9TXHqrsEipE2ovRlV0CUOXUTdx+Rcf/LT+/q/Q9TQAAAFUFoQkAAMACQhMAAIAFhCYAAAALCE0AAAAWEJoAAAAsIDQBAABYQGgCAACwgNAEAABgAaEJAADAAkITAACABYQmAAAACwhNAAAAFhCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABYQmgAAACwgNAEAAFhAaAIAALCA0AQAAGABoQkAAMACQhMAAIAFhCYAAAALCE0AAAAWEJoAAAAsIDQBAABYQGgCAACwgNAEAABgAaEJAADAAkITAACABYQmAAAACwhNAAAAFhCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABYQmgAAACwgNAEAAFhAaAIAALCA0AQAAGABoQkAAMACQhMAAIAFVTo0TZgwQW3atJG/v79q166tXr16ae/evU59Tp8+rYSEBAUHB8vPz0+9e/dWVlaWU5+0tDT16NFDPj4+ql27tkaNGqWSkhKnPmvWrNHNN98sT09P1a9fX7Nnz77SpwcAAKqRKh2a1q5dq4SEBH3zzTdKSkpScXGxunbtqpMnT5p9nnzySX3++ef6+OOPtXbtWh06dEj33HOPub20tFQ9evRQUVGRNmzYoDlz5mj27NlKTEw0+xw4cEA9evRQ586dtWXLFo0YMUKPPvqoli9fflXPFwAAVF02wzCMyi7CqsOHD6t27dpau3atOnXqpNzcXNWqVUvz5s1Tnz59JEl79uxR48aNlZycrHbt2mnp0qW68847dejQIYWEhEiSZs6cqdGjR+vw4cPy8PDQ6NGjtWTJEu3YscM8Vr9+/ZSTk6Nly5ZZqi0vL08BAQHKzc2V3W6v+JP/RatRH1yxsYHqKvW1hyq7hAqR9mJ0ZZcAVDl1E7df0fF/y8/vKj3T9Gu5ubmSpBo1akiSUlNTVVxcrNjYWLNPo0aNVLduXSUnJ0uSkpOTFR0dbQYmSYqLi1NeXp527txp9jl3jLN9zo5xPoWFhcrLy3NaAADAtavahCaHw6ERI0bo1ltvVbNmzSRJmZmZ8vDwUGBgoFPfkJAQZWZmmn3ODUxnt5/ddrE+eXl5OnXq1HnrmTBhggICAswlIiLiss8RAABUXdUmNCUkJGjHjh368MMPK7sUSdLYsWOVm5trLunp6ZVdEgAAuILcKrsAK4YPH67Fixdr3bp1qlOnjtkeGhqqoqIi5eTkOM02ZWVlKTQ01OyzceNGp/HOfrru3D6//sRdVlaW7Ha7vL29z1uTp6enPD09L/vcAABA9VClZ5oMw9Dw4cO1YMECrVq1SlFRUU7bW7VqJXd3d61cudJs27t3r9LS0hQTEyNJiomJ0fbt25WdnW32SUpKkt1uV5MmTcw+545xts/ZMQAAAKr0TFNCQoLmzZunzz77TP7+/uY9SAEBAfL29lZAQIDi4+M1cuRI1ahRQ3a7XY8//rhiYmLUrl07SVLXrl3VpEkTPfjgg5o0aZIyMzM1btw4JSQkmDNFf/rTn/TWW2/pmWee0aBBg7Rq1Sp99NFHWrJkSaWdOwAAqFqq9EzTjBkzlJubq9tuu01hYWHmMn/+fLPPlClTdOedd6p3797q1KmTQkND9emnn5rbXV1dtXjxYrm6uiomJkYPPPCAHnroIb344otmn6ioKC1ZskRJSUlq0aKF3njjDb333nuKi4u7qucLAACqrmr1nKaqjOc0AZWH5zQB1y6e0wQAAFDNEJoAAAAsIDQBAABYQGgCAACwgNAEAABgAaEJAADAAkITAACABYQmAAAACwhNAAAAFhCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABYQmgAAACwgNAEAAFhAaAIAALCA0AQAAGABoQkAAMACQhMAAIAFhCYAAAALCE0AAAAWEJoAAAAsIDQBAABYQGgCAACwgNAEAABgAaEJAADAAkITAACABYQmAAAACwhNAAAAFhCaAAAALCA0AQAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgAAAAsITQAAABa4VXYBwJVUkHVQGRsWKP/nfXKUFMszoJZqtrhNtW/uavbJ/3mffl43XwVZP8rVw1tBDW9ReMc+cvXwuuT4pYUFyvjmc+XuS1VR/jG5e9vlH9lUYe17ycMefM4xvlf6yn+p8HiWfELqqe4fBsorONxprPSV/9Lp4xlq0GdUxb0AwDXo++zTmrI6W9szTulwfom83V3UoJanht5aU7EN7U59Z6cc1Qcbjyn9eJGCfFx1Z7MAPd0lRD4eF58zOF5QovnfHtfK70/oh8OFKnEYuqGmp+JjaqpnswCnvpl5xRqz6GdtSitQqN1dY/8QUqaOpbty9eziQ1rzxI2ye7lWzAuBq46ZJlyz8g5u1955L6m44IRC2/1REV0GKOCGlio6cdzsU5D9o/Z9PFGO4iLVue1+1WzeSUe2rdGBRW9dcnzDcGjfx5N0ZMtKBTRopYguDyiocTsd/36j9s57SaVFpySdCVb7F74pd79AXfd/98lRWqz/Lpouw+Ewxzp15Ccd2b5GdW7rX+GvA3Ct+SmnWCeLHOrTIkjju4XpiU61JEnx89I0b/Mxs9+EFZl6/osMNaztqefvCNMdTeyak3JUQz9Mu+Qxvk0v0OurshXo7arHO9XS011C5OXuouEfp2vyqiynviMX/KS048UaExuiZmFeeuyjdKUfLzK3ny526JUVmXq6SwiBqZpjpgnXpNLCUzr4xbuyX99C1/9xuGy28/9+cOirT+Tm6asb7xsrV09vSZKHvabSVsxS3sHtsteLvuAxTh7ar4LMA4q4/UHVuinWbPcKCtWPy/+hEz/uVGCD1so/9IOM4iJd/8fhcnHzkD0qWjvffVqFOVnyqhEmSfpp9TzVjL5N3jWvq8BXAbg2dbnRX11u9HdqG9g2WHf+fb/eSz6i/q1rKOtEsd5LPqJ7WgRqyj11zH5RwZ56/osMfbk3r8xs0Lka1PbSmicaqE6gh9n20C011H/OQc1cf0R/6lBLPh4uOl3s0IYDJzX/4Si1reerB9rUUGr691r3Q74GtKkhSXpnwxH5e7qq381BFfxK4GpjpgnXpGO7k1VSkKvwDn1ks7motKhQhuFw6lNaeEp5P+5UUJP2ZmCSpBpNO8jF3UvH92686DHOziS5+ThP1bv5BUqSbG5n3myNkiLZ3Nzl8su6m5efJMlRfOY30Zx9qSrI/lFht95dzrMF4OpiU5jdXXmnz3yff5teoBKHylxK++Mv64u25150vLpBHk6BSZJsNpu6NrKrsMRQ2i8zSYUlhgxDCvB2NfvYvVx1qvhMHZl5xZrx9RGNvyNMLi62yz9RVCpmmnBNOvHjTrl4eKs4/7j+u/BNFR7PlIu7p2o0aa86nfvLxc1Dp46kS45S+YbUc9rXxdVN3rXrqiD7x4sewzckSi7unjq0/j9y8/aVZ1CoCnOy9fPa+fIJjZI9sqkkybt2pEoLTylr01IF3thGh79dLldPH3nVCJWjpFg/rfm3wtvfLTcv3yv1cgDXpIIih04XO3SisFRJe05ozQ8ndGfTM6GoqNSQJHm5OwcVb/czcwU7Mk6V65iH80skSUE+Z0JSgLerImt46O11hzUqNkSp6QXalXlaL3Q/84vYX1dk6rb6fmpbj+/vawGhCdekwpwsyVGq/y6YquDo/5Nfx77KT9+jw98lqbSwQFF3Pqbi/DO/abr/MjN0LnffAOX//P1Fj+Hm46+oOx9T2opZ2vfRRLPdXi9aUX8cLpvLmTdVz4Bauq5TX/287iP9vPZD2dw8FBk3SC7unsr85nO5uHuqZosuFXfywO/Ey8szNHfzmXsUXWxSt8Z2vdTjzAcsrg/2lCRtTitQ+yg/c5+NaSclSZl5Jb/5eDkFJZr/7THdEumjEH93s31Cz3AN+yhdi3aceU+JbxesNnV9tTmtQMv35Gnl8AblO0FUOYQmXJNKi07LUVKkmi06K+L2ByRJQTe2luEo0ZGtqxV26z1ylJyZXre5lv02cHFzl1FSfMnjuPn4y7t2pGpdFyuvmtfpVPaPytr4hX5c9p6u/+Nws19Im+6q0eRWFeUelmeNMLl5+aoo/7gyUxbr+l5PyHCU6qfVc5Xzw7dy9w1Qnc795XfdjRX0agDXpkHtaqp7kwBlnSjW4p15KjX+N8MUHe6tm+p4a+bXRxRqd1dMPV/9cKRQ4xYfkrurTadLHJcY3ZnDYeiJ//ykvNMOvdA9zGnbrdf7KfnJG/X94UKF+LspPMBDDoeh8UsPaXBMTdUJ9NA/Nx7VrJSjMgwpPqamHvjlfidUL9zThGvS2fuHghq1c2o/u37y0A9mH6O07G+cjpJi2dzcy7SfqzAnW/vmv6rg6I4KbddTgfVvVlj7uxURO1A5329S7n+3OvV39w2Qb3h98zLcoXUfyT+yieyRTZX5zWc68eMuRfVMUGD9Vtr/6RSVnD5ZvpMHfifq1/JUhxv81LtlkGYNiFRBUani5/0owzgTnGbeV1eNQ700auHP6jD1e8XP+1E9mgaoaaiXfC/xyIFfS/wiQ2t/yNfEu8LVJNS7zHZfT1fdVMdH4QFn3lc++u64DueX6LGOtfT1/nz9NSlLo2NDNbZrqF5enqENB/Iv/wXAVUdowjXp7CU3d1/nm0Ddfc58Wqb0dIHc/c5sK87PKbN/8cnc8162O9fRHV/LUVqsgOtbOrUH1L9JknTy0L4L7nvy0A86/v0m1bmtnyTp2O5vFHJLd/mF11dou55y9fBW7n+3XPT4AJx1bxKgrT+f0n+PnplFDrW76z/x12vNEw308aAofTOyof7SNVSH8ooV9cvlOyumrs7WPzcd05jYEN3T4tKfgDtxulSvr8rW6NhQ+Xi46LPtOerexK64xnZ1bWRX9yYBWrjt4jeio2oiNOGa5PPLzd3F+ced2otP5kj65bJazTqSi6tOZh106uMoLdGp7DT51Iq86DFKCnIlQ9KvPpVnlJae+a/j/NP/hmEofdW/VPvmrvIMDDHrOjekufsFqvhEzkWPD8DZ6V8+sXbidKlTe1Swp26J9FVtf3d9n31a2SdK1OF6azdmz0k5qilrshXfLljDOtaytM+ba7NVJ9Bddzc/84tZ1okShfj/7zaAEH83ZeZd+vI/qh5C06+8/fbbqlevnry8vNS2bVtt3Hjxj52jagpq2FaSdGT7Oqf2I9vWSi6u8otoJFdPH9nrNtHxXRvMxwdI0rFd6+UoPq3Ahm3MNkdxoU4fPaSSghNmm2dQqCSjzKMJju/5RtKZT82dz7EdX6noxDGFtutptrn7BOj0sQxJZy4XFuZkl5klA3DGkfyyl9SLSw39Z2uOvNxtalDr/LNIDoehCUlZ8na3aUDrGk77/nC4UFknnIPM5ztyNX5phno1D9Bz3UIt1fbfI4X6YOMxjb8jTDbbmU/u1fJz0w9H/vewyx+OFKq2H7cUV0f8XzvH/PnzNXLkSM2cOVNt27bV1KlTFRcXp71796p27dqVXR5+A5+QSAU366SjO9bJcJTKv04jnUjfrZzvNymk7Z3y8DszxR7esY/2zntZ3384QTWb36bi/GPK2rxM/vWaKSCquTneyYz/at9Hryo0ppfCf3meUnCzjsravFRpSbNVkP2jvIOvU0H2jzqyba28gq9TYINWZeoqLTqln7/+RNd16CNXj//dFxF4Y2tlJH8mGYb5J1/s1zcvsz8A6S+f/6wThQ61jfRViN1Nh/NLtHBbrvYfKdS4uFD5ep755Or4LzJUWOJQk1AvlTikz7bnaMvPpzT57ut03TnPYMrMK9btb+1Tn5aBeuPuMw/C3PJTgUZ++pOCfFx16/V+WvCry2mtI3xUt4bzc5wk6cVlGbqzaYBa1vEx27o3sevRf6dp0peZkqQv957Q+wMuPpONqonQdI7Jkydr8ODBeuSRRyRJM2fO1JIlS/T+++9rzJgxlVwdfqu6fxgoD3sNHd3xtXL3pcrDXlN1OvdX7VZxZh+fkHpq0PcZ/bxuvn5aM0+u7l6q2ayTwjv1veT4bt5+avTAeGWsX6Dc/Vt0ZOtquXn5KTi6o67r0Fcu5/lUXkbyInn41VCNZh2d2sPa36OSghPK2LBQbr4Buv6Pw837rwA4u7NZgOZ/e1z/2nxMxwtK5OvpqugwL439Q4j+0Oh/3zdNw7z0/jdHtXB7rlxsUovrvDVvYD2nRxBcyL7DhSoqNXT0ZKlGLfy5zPbXe11XJjSt+v6ENv5YoNVPOD9i4PaGdo26PUSzU47KkDQ6NkSdGzg/0RzVg804+zGD37mioiL5+Pjok08+Ua9evcz2gQMHKicnR5999plT/8LCQhUWFprrubm5qlu3rtLT02W3X7kfdp3G/fuKjQ1UV+tevr+yS6gQ6a+2u3Qn4HcmYsw3V3T8vLw8RUREKCcnRwEBF78tgpmmXxw5ckSlpaUKCQlxag8JCdGePXvK9J8wYYJeeOGFMu0RERFXrEYA5xcw/U+VXQKAK2XC1bm/88SJE4SmK2Xs2LEaOXKkue5wOHTs2DEFBwebN//h2nX2N5MrPbMI4Orj+/v3xTAMnThxQuHh4ZfsS2j6Rc2aNeXq6qqsrCyn9qysLIWGlv3UhKenpzw9nT+hERgYeCVLRBVkt9t5UwWuUXx//35caobpLB458AsPDw+1atVKK1euNNscDodWrlypmJiYSqwMAABUBcw0nWPkyJEaOHCgWrdurVtuuUVTp07VyZMnzU/TAQCA3y9C0znuu+8+HT58WImJicrMzFTLli21bNmyMjeHA56ennr++efLXKIFUP3x/Y0L4ZEDAAAAFnBPEwAAgAWEJgAAAAsITQAAABYQmvC7s3DhQtWvX1+urq4aMWJEZZfzmz388MNOf+rntttuq5bngd+n2bNnX/KZdr/+N365fevVq6epU6daGq86OnjwoGw2m7Zs2SJJWrNmjWw2m3Jyciq1rmsRoQnVxuHDhzVs2DDVrVtXnp6eCg0NVVxcnNavX/+bxhk6dKj69Omj9PR0vfTSS+WqZfbs2bLZbGUWLy+vco33W7z55puaPXv2FT8OUB4PP/yw+f3g4eGh+vXr68UXX1RJSYnlMSr63/imTZs0ZMiQChvvQurVq3fe94VXX331ih43IiJCGRkZatas2RU9DnjkAKqR3r17q6ioSHPmzNH111+vrKwsrVy5UkePHrU8Rn5+vrKzsxUXF2fpkfkXY7fbtXfvXqe2q/EndKw+uRaoLN26ddOsWbNUWFioL774QgkJCXJ3d9fYsWMt7V/R/8Zr1apVoeNdzIsvvqjBgwc7tfn7+1/RY7q6up73L1eg4jHThGohJydHX331lSZOnKjOnTsrMjJSt9xyi8aOHas//vGPZr/JkycrOjpavr6+ioiI0GOPPab8/HxJZ6asz755denSRTabTWvWrJEkff311+rYsaO8vb0VERGhJ554QidPnrxoTTabTaGhoU7Luc/0uu222/T4449rxIgRCgoKUkhIiN59913zgan+/v6qX7++li5dau5TWlqq+Ph4RUVFydvbWw0bNtSbb77pdNzfcukCqAxnZ4IjIyM1bNgwxcbGatGiRU59li9frsaNG8vPz0/dunVTRkaGue3X/8Y/+eQTRUdHy9vbW8HBwYqNjS3z/fn6668rLCxMwcHBSkhIUHFxsbnt15fnbDab3nvvPd19993y8fFRgwYNytS3aNEiNWjQQF5eXurcubPmzJlj6ZKXv79/mfcFX19fSf+7bLZ8+XLddNNN8vb2VpcuXZSdna2lS5eqcePGstvt6t+/vwoKCswxly1bpg4dOigwMFDBwcG68847tX//fnP7ry/P4cohNKFa8PPzk5+fnxYuXKjCwsIL9nNxcdG0adO0c+dOzZkzR6tWrdIzzzwjSWrfvr05M/Sf//xHGRkZat++vfbv369u3bqpd+/e2rZtm+bPn6+vv/5aw4cPv+y658yZo5o1a2rjxo16/PHHNWzYMPXt21ft27fXt99+q65du+rBBx803yAdDofq1Kmjjz/+WLt27VJiYqL+8pe/6KOPPrrsWoDK4u3traKiInO9oKBAr7/+uv75z39q3bp1SktL09NPP33efTMyMnT//fdr0KBB2r17t9asWaN77rlH5z5icPXq1dq/f79Wr16tOXPmaPbs2Ze8vPfCCy/o3nvv1bZt29S9e3cNGDBAx44dkyQdOHBAffr0Ua9evbR161YNHTpUzz777OW/EL8YP3683nrrLW3YsEHp6em69957NXXqVM2bN09LlizRihUrNH36dLP/yZMnNXLkSG3evFkrV66Ui4uL7r77bjkcjgqrCRYZQDXxySefGEFBQYaXl5fRvn17Y+zYscbWrVsvus/HH39sBAcHm+vHjx83JBmrV6822+Lj440hQ4Y47ffVV18ZLi4uxqlTp8477qxZswxJhq+vr9PSrVs3s8///d//GR06dDDXS0pKDF9fX+PBBx802zIyMgxJRnJy8gXPISEhwejdu7e5PnDgQOOuu+5yOs6f//znC+4PXE3n/vt0OBxGUlKS4enpaTz99NOGYfzve+eHH34w93n77beNkJCQ846RmppqSDIOHjx4weNFRkYaJSUlZlvfvn2N++67z1yPjIw0pkyZYq5LMsaNG2eu5+fnG5KMpUuXGoZhGKNHjzaaNWvmdJxnn33WkGQcP378guceGRlpeHh4lHlfWLdunWEYhrF69WpDkvHll1+a+0yYMMGQZOzfv99sGzp0qBEXF3fB4xw+fNiQZGzfvt0wDMM4cOCAIcn47rvvnI5zsVpRPtzThGqjd+/e6tGjh7766it98803Wrp0qSZNmqT33ntPDz/8sCTpyy+/1IQJE7Rnzx7l5eWppKREp0+fVkFBgXx8fM477tatW7Vt2zbNnTvXbDMMQw6HQwcOHFDjxo3Pu5+/v7++/fZbpzZvb2+n9ebNm5tfu7q6Kjg4WNHR0Wbb2ct52dnZZtvbb7+t999/X2lpaTp16pSKiorUsmXLS79AQBWxePFi+fn5qbi4WA6HQ/3799f48ePN7T4+PrrhhhvM9bCwMKfvgXO1aNFCt99+u6KjoxUXF6euXbuqT58+CgoKMvs0bdpUrq6uTuNt3779ojWe+73p6+sru91u1rB37161adPGqf8tt9xy6ROXNGrUKPP96KzrrrvugscOCQmRj4+Prr/+eqe2jRs3muv79u1TYmKiUlJSdOTIEXOGKS0tjZu/rzJCE6oVLy8v/eEPf9Af/vAHPffcc3r00Uf1/PPP6+GHH9bBgwd15513atiwYXrllVdUo0YNff3114qPj1dRUdEFQ1N+fr6GDh2qJ554osy2unXrXrAWFxcX1a9f/6L1uru7O63bbDantrM3jp99E/zwww/19NNP64033lBMTIz8/f312muvKSUl5aLHAaqSzp07a8aMGfLw8FB4eLjc3Jx/1Jzv+8K4wF/0cnV1VVJSkjZs2GBetnr22WeVkpKiqKioC453qUtX5dnHipo1a/6m94Vfvyecr5aePXsqMjJS7777rsLDw+VwONSsWTOnS564OghNqNaaNGmihQsXSpJSU1PlcDj0xhtvyMXlzO16Vu4Fuvnmm7Vr165LvtFdDevXr1f79u312GOPmW3n3vAJVAe+vr4V+v1ks9l066236tZbb1ViYqIiIyO1YMECjRw5ssKOca6GDRvqiy++cGrbtGnTFTnWpRw9elR79+7Vu+++q44dO0o688EVVA5CE6qFo0ePqm/fvho0aJCaN28uf39/bd68WZMmTdJdd90lSapfv76Ki4s1ffp09ezZU+vXr9fMmTMvOfbo0aPVrl07DR8+XI8++qh8fX21a9cuJSUl6a233rrgfoZhKDMzs0x77dq1zdD2WzVo0EAffPCBli9frqioKP3zn//Upk2bzN+ogd+blJQUrVy5Ul27dlXt2rWVkpKiw4cPX/CyeUUYOnSoJk+erNGjRys+Pl5btmwxbyy/1GNFTpw4UeZ9wcfHR3a7vVy1BAUFKTg4WO+8847CwsKUlpamMWPGlGssXD4+PYdqwc/PT23bttWUKVPUqVMnNWvWTM8995wGDx5sBpsWLVpo8uTJmjhxopo1a6a5c+dqwoQJlxy7efPmWrt2rb7//nt17NhRN910kxITEy/5HKe8vDyFhYWVWS50b4YVQ4cO1T333KP77rtPbdu21dGjR51mnYDfG7vdrnXr1ql79+668cYbNW7cOL3xxhu64447rtgxo6Ki9Mknn+jTTz9V8+bNNWPGDPPTc56enhfdNzExscx7wtlP8JaHi4uLPvzwQ6WmpqpZs2Z68skn9dprr5V7PFwem3GhC8kAAECS9Morr2jmzJlKT0+v7FJQibg8BwDAr/ztb39TmzZtFBwcrPXr1+u1116rkGe3oXojNAEA8Cv79u3Tyy+/rGPHjqlu3bp66qmnLP8ZGFy7uDwHAABgATeCAwAAWEBoAgAAsIDQBAAAYAGhCQAAwAJCEwAAgAWEJgD4lXr16mnq1Knmus1mM//GIYDfL0ITgCrp4Ycfls1mK7N069btih9706ZNGjJkiKW+56vx3GX8+PFXtlgAVw0PtwRQZXXr1k2zZs1yarvU3/6qCLVq1bLcNyMjw/x6/vz5SkxM1N69e802Pz+/Cq0NQOVhpglAleXp6anQ0FCnJSgoyNxus9n097//XXfeead8fHzUuHFjJScn64cfftBtt90mX19ftW/fXvv37zf32b9/v+666y6FhITIz89Pbdq00Zdfful03F9fnruYc2sLCAiQzWZTaGio/P39deONN2rZsmVO/RcuXChfX1+dOHFCBw8elM1m04cffqj27dvLy8tLzZo109q1a5322bFjh+644w75+fkpJCREDz74oI4cOfIbX00Al4vQBKBae+mll/TQQw9py5YtatSokfr376+hQ4dq7Nix2rx5swzDcPqbYfn5+erevbtWrlyp7777Tt26dVPPnj2VlpZWoXX5+vqqX79+ZWbKZs2apT59+sjf399sGzVqlJ566il99913iomJUc+ePXX06FFJUk5Ojrp06aKbbrpJmzdv1rJly5SVlaV77723QusFYIEBAFXQwIEDDVdXV8PX19dpeeWVV8w+koxx48aZ68nJyYYk4x//+IfZ9u9//9vw8vK66LGaNm1qTJ8+3VyPjIw0pkyZ4nScBQsWXLLmWbNmGQEBAeZ6SkqK4erqahw6dMgwDMPIysoy3NzcjDVr1hiGYRgHDhwwJBmvvvqquU9xcbFRp04dY+LEiYZhGMZLL71kdO3a1ek46enphiRj7969l6wJQMXhniYAVVbnzp01Y8YMp7YaNWo4rTdv3tz8OiQkRJIUHR3t1Hb69Gnl5eXJbrcrPz9f48eP15IlS5SRkaGSkhKdOnWqwmeaJOmWW25R06ZNNWfOHI0ZM0b/+te/FBkZqU6dOjn1i4mJMb92c3NT69attXv3bknS1q1btXr16vPeG7V//37deOONFV43gPMjNAGosnx9fVW/fv2L9nF3dze/ttlsF2xzOBySpKefflpJSUl6/fXXVb9+fXl7e6tPnz4qKiqq6PIlSY8++qjefvttjRkzRrNmzdIjjzxi1mRFfn6+evbsqYkTJ5bZFhYWVpGlArgE7mkC8Luyfv16Pfzww7r77rsVHR2t0NBQHTx48Iod74EHHtCPP/6oadOmadeuXRo4cGCZPt988435dUlJiVJTU9W4cWNJ0s0336ydO3eqXr16ql+/vtPi6+t7xeoGUBahCUCVVVhYqMzMTKflcj811qBBA3366afasmWLtm7dqv79+5uzUFdCUFCQ7rnnHo0aNUpdu3ZVnTp1yvR5++23tWDBAu3Zs0cJCQk6fvy4Bg0aJElKSEjQsWPHdP/992vTpk3av3+/li9frkceeUSlpaVXrG4AZRGaAFRZy5YtU1hYmNPSoUOHyxpz8uTJCgoKUvv27dWzZ0/FxcXp5ptvrqCKzy8+Pl5FRUVmEPq1V199Va+++qpatGihr7/+WosWLVLNmjUlSeHh4Vq/fr1KS0vVtWtXRUdHa8SIEQoMDJSLC2/hwNVkMwzDqOwiAOBa9s9//lNPPvmkDh06JA8PD7P94MGDioqK0nfffaeWLVtWXoEALOFGcAC4QgoKCpSRkaFXX31VQ4cOdQpMAKof5nYB4AqZNGmSGjVqpNDQUI0dO7ayywFwmbg8BwAAYAEzTQAAABYQmgAAACwgNAEAAFhAaAIAALCA0AQAAGABoQkAAMACQhMAAIAFhCYAAAAL/h+cvYMZxnciNwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "percentage_counts = df['Email Type'].value_counts(normalize=True) * 100\n",
        "sns.countplot(data = df,x=\"Email Type\")\n",
        "total_count = len(df)\n",
        "for index, value in enumerate(percentage_counts):\n",
        "    plt.text(index, value + 1, f\"{value:.1f}%\", ha='center', fontsize=12, color='black')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* Dataset is imbalanced"
      ],
      "metadata": {
        "id": "LCQXcjjCyi_B"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ZvGL9UxkHljT"
      },
      "outputs": [],
      "source": [
        "df[\"Email Type\"]=df[\"Email Type\"].map({\"Safe Email\":1,\"Phishing Email\":0})"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "rc6EqWiuHo5m",
        "outputId": "3ab60594-fa8e-4e19-9226-b555e782bd3e"
      },
      "outputs": [
        {
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          "data": {
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              "                                              Email Text  Email Type  \\\n",
              "0      re : 6 . 1100 , disc : uniformitarianism , re ...           1   \n",
              "1      the other side of * galicismos * * galicismo *...           1   \n",
              "2      re : equistar deal tickets are you still avail...           1   \n",
              "3      \\nHello I am your hot lil horny toy.\\n    I am...           0   \n",
              "4      software at incredibly low prices ( 86 % lower...           0   \n",
              "...                                                  ...         ...   \n",
              "18645  date a lonely housewife always wanted to date ...           0   \n",
              "18646  request submitted : access request for anita ....           1   \n",
              "18647  re : important - prc mtg hi dorn & john , as y...           1   \n",
              "18648  press clippings - letter on californian utilit...           1   \n",
              "18649                                              empty           0   \n",
              "\n",
              "       num_of_characters  \n",
              "0                   1030  \n",
              "1                    479  \n",
              "2                   1245  \n",
              "3                    688  \n",
              "4                    441  \n",
              "...                  ...  \n",
              "18645                237  \n",
              "18646                477  \n",
              "18647               1214  \n",
              "18648                213  \n",
              "18649                  5  \n",
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              "[18634 rows x 3 columns]"
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              "\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "        document.querySelector('#df-b762cd7b-3222-4b60-9102-9b050502cfae button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "#num of characters\n",
        "df['num_of_characters'] = df['Email Text'].apply(len)\n",
        "df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "3o4pvDOSHq6O",
        "outputId": "6ff33b52-73e4-456e-9ddb-f7c185ca259d"
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      "outputs": [
        {
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            "text/plain": [
              "                                          Email Text  Email Type  \\\n",
              "0  re : 6 . 1100 , disc : uniformitarianism , re ...           1   \n",
              "1  the other side of * galicismos * * galicismo *...           1   \n",
              "2  re : equistar deal tickets are you still avail...           1   \n",
              "3  \\nHello I am your hot lil horny toy.\\n    I am...           0   \n",
              "4  software at incredibly low prices ( 86 % lower...           0   \n",
              "\n",
              "   num_of_characters  no_of_words  \n",
              "0               1030          230  \n",
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              "2               1245          305  \n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-d1c3c33d-d459-4b4b-ab98-6cb50e8638d6');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-5ca8b37c-67fa-4c29-9b8a-be685c2a9e61\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-5ca8b37c-67fa-4c29-9b8a-be685c2a9e61')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5ca8b37c-67fa-4c29-9b8a-be685c2a9e61 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "#num of words\n",
        "df['no_of_words'] = df['Email Text'].apply(lambda x:len(nltk.word_tokenize(x)))\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Sh1LeiP-IHOV",
        "outputId": "fc740c5d-8915-4eb3-95d3-b955a4219864"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                          Email Text  Email Type  \\\n",
              "0  re : 6 . 1100 , disc : uniformitarianism , re ...           1   \n",
              "1  the other side of * galicismos * * galicismo *...           1   \n",
              "2  re : equistar deal tickets are you still avail...           1   \n",
              "3  \\nHello I am your hot lil horny toy.\\n    I am...           0   \n",
              "4  software at incredibly low prices ( 86 % lower...           0   \n",
              "\n",
              "   num_of_characters  no_of_words  no_of_sentence  \n",
              "0               1030          230              10  \n",
              "1                479           91               7  \n",
              "2               1245          305               8  \n",
              "3                688          116               8  \n",
              "4                441           91              13  "
            ],
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              "      <th>Email Type</th>\n",
              "      <th>num_of_characters</th>\n",
              "      <th>no_of_words</th>\n",
              "      <th>no_of_sentence</th>\n",
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              "      <td>10</td>\n",
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              "      <th>1</th>\n",
              "      <td>the other side of * galicismos * * galicismo *...</td>\n",
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              "      <td>7</td>\n",
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              "      <td>8</td>\n",
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              "      <td>\\nHello I am your hot lil horny toy.\\n    I am...</td>\n",
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              "      <td>8</td>\n",
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              "      <td>0</td>\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4a97e9c8-05ba-4580-8380-898f548d2acc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4a97e9c8-05ba-4580-8380-898f548d2acc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c38fcc6c-59c8-4611-a2ae-6d719f37676d')\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c38fcc6c-59c8-4611-a2ae-6d719f37676d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "#num of sentences\n",
        "df['no_of_sentence'] = df['Email Text'].apply(lambda x:len(nltk.sent_tokenize(x)))\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "_uXGZUCfIHQb",
        "outputId": "041147af-300c-4e5f-a7c0-95d8824705ed"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     count         mean            std  min    25%    50%  \\\n",
              "Email Type         18634.0     0.607599       0.488298  0.0    0.0    1.0   \n",
              "num_of_characters  18634.0  2755.654020  124867.657781  1.0  404.0  881.5   \n",
              "no_of_words        18634.0   564.837018   26554.057222  0.0   82.0  179.0   \n",
              "no_of_sentence     18634.0    32.223999    1636.201561  0.0    5.0    9.0   \n",
              "\n",
              "                      75%         max  \n",
              "Email Type            1.0         1.0  \n",
              "num_of_characters  1880.0  17036692.0  \n",
              "no_of_words         382.0   3623496.0  \n",
              "no_of_sentence       19.0    223247.0  "
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
              "      <th>25%</th>\n",
              "      <th>50%</th>\n",
              "      <th>75%</th>\n",
              "      <th>max</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Email Type</th>\n",
              "      <td>18634.0</td>\n",
              "      <td>0.607599</td>\n",
              "      <td>0.488298</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>num_of_characters</th>\n",
              "      <td>18634.0</td>\n",
              "      <td>2755.654020</td>\n",
              "      <td>124867.657781</td>\n",
              "      <td>1.0</td>\n",
              "      <td>404.0</td>\n",
              "      <td>881.5</td>\n",
              "      <td>1880.0</td>\n",
              "      <td>17036692.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_of_words</th>\n",
              "      <td>18634.0</td>\n",
              "      <td>564.837018</td>\n",
              "      <td>26554.057222</td>\n",
              "      <td>0.0</td>\n",
              "      <td>82.0</td>\n",
              "      <td>179.0</td>\n",
              "      <td>382.0</td>\n",
              "      <td>3623496.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_of_sentence</th>\n",
              "      <td>18634.0</td>\n",
              "      <td>32.223999</td>\n",
              "      <td>1636.201561</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>19.0</td>\n",
              "      <td>223247.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c2237ad9-2137-44dc-a941-b090459e43c4')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c2237ad9-2137-44dc-a941-b090459e43c4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c2237ad9-2137-44dc-a941-b090459e43c4');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a7a8ebee-d561-4662-8ac0-689df3afa205\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a7a8ebee-d561-4662-8ac0-689df3afa205')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a7a8ebee-d561-4662-8ac0-689df3afa205 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "df.describe().T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "Zxp4NbzsIHT3",
        "outputId": "39990219-deee-4715-dda4-be55aebfea4a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                    count         mean          std  min    25%    50%  \\\n",
              "Email Type         7312.0     0.000000     0.000000  0.0    0.0    0.0   \n",
              "num_of_characters  7312.0  1613.924508  3352.191512  1.0  355.0  732.0   \n",
              "no_of_words        7312.0   323.077681   619.708151  0.0   72.0  147.0   \n",
              "no_of_sentence     7312.0    19.896882    52.268386  0.0    5.0   10.0   \n",
              "\n",
              "                       75%       max  \n",
              "Email Type            0.00       0.0  \n",
              "num_of_characters  1568.75  129635.0  \n",
              "no_of_words         314.00   13291.0  \n",
              "no_of_sentence       19.00    3093.0  "
            ],
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
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              "      <th>min</th>\n",
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              "      <th>Email Type</th>\n",
              "      <td>7312.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>1613.924508</td>\n",
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              "      <td>129635.0</td>\n",
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              "    <tr>\n",
              "      <th>no_of_words</th>\n",
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              "      <td>323.077681</td>\n",
              "      <td>619.708151</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>147.0</td>\n",
              "      <td>314.00</td>\n",
              "      <td>13291.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_of_sentence</th>\n",
              "      <td>7312.0</td>\n",
              "      <td>19.896882</td>\n",
              "      <td>52.268386</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>19.00</td>\n",
              "      <td>3093.0</td>\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-a9d0370d-0fdb-41f7-8711-ccf1afce0a49 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-a9d0370d-0fdb-41f7-8711-ccf1afce0a49');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
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              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-6afb203d-7de5-4e04-85ca-555de57c30a3 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "df[df['Email Type']==0].describe().T"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 958
        },
        "id": "Vw0WTztcIlYD",
        "outputId": "46fede45-05fe-466e-ffc1-bb01a7e87e2e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x1000 with 4 Axes>"
            ],
            "image/png": 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o8oBW5eTJk9q9e7f69OmjxsZGud1uo0sCAHo94EP0+uBECABT2bhxo27cuKGioiJ16tRJktTQ0KDc3FxlZWUpKirK2AKBVmTo0KFKTU2VJC1cuFDHjx83uCIAoNcDvkSvD048DgBTqaysVFJSkudDgSSlpaWpsbFRe/bsMa4woBUKCaGFAGh56PWA79DrgxP/VmEqdrtdsbGxXmNWq1WRkZGy2+0GVQUAAHyFXg8AzSMEgKk4nU5ZrdYm4zabTQ6Hw4CKAACAL9HrAaB5hAAAAAAAAJgEIQBMxWq1yuVyNRl3OByy2WwGVAQAAHyJXg8AzSMEgKnExsY2eR7Q5XLp8uXLTZ4fBAAArQ+9HgCaRwgAU0lJSdHevXvldDo9YxUVFQoJCVFycrKBlQEAAF+g1wNA80KNLgAIpMzMTJWWlio7O1tZWVmqrq5WQUGBMjMz+d1g4CHdvHlTu3fvliRduHBBNTU1qqiokCQNHDhQERERRpYHwKTo9YDv0OuDk8XtdruNLgIIpKqqKi1ZskSHDx9W+/btlZ6ernnz5ik8PNzo0oBW5fz58xo2bNhd173//vsaNGhQgCsCgFvo9YBv0OuDEyEAAAAAAAAmwTsBAAAAAAAwCUIAAAAAAABMghAAAAAAAACTIAQAAAAAAMAkCAEAAAAAADAJQgAAAAAAAEyCEAAAAAAAAJMgBAAAAAAAwCQIAQAYbuHChRo6dKjXWHx8vAoLCw2qCAAA+Br9HmgZQo0uAEBg/elPf9IvfvGLe67ftGmT+vbtG7iCvqZJkybp4MGD9503a9YszZ49OwAVAQDQctDvAdwLIQBgUnPmzFG3bt2ajHfv3j3gtSxZskRut/uhtpk5c6bGjx/vWT527JhKS0s1c+ZMxcbGesbj4+N9VicAAK0N/R7AnQgBAJNKSUlR7969jS5DkhQWFvbQ2yQnJ3stt2nTRqWlpfre976nQYMG+ao0AABaNfo9gDvxTgAAd3X+/HnFx8dr7dq1+t3vfqdhw4apT58+mjZtmv7zn//I7XZrxYoVSklJUWJiol555RVdv37dax9/+9vfNGPGDD377LN66qmnlJqaqhUrVqihocFr3t2eEXxUW7ZsUXx8vD799NMm61auXKlevXqpurpa0q1bDUeNGqXjx48rMzNTiYmJGjp0qD744IMm29bV1Wn58uUaPny4nnrqKT333HMqKChQXV2dT+sHACAQ6Pf0e5gPdwIAJlVTU6OrV696jVksFnXu3NlrrKysTPX19Zo0aZKuX7+uNWvWaO7cuRo8eLAOHDigl19+WWfOnNGGDRuUn5+vZcuWebb98MMP1a5dO02dOlXt2rXT/v37tXz5ctXU1Oi1117z6/GNGDFCb775psrKypSQkNDkmAYOHKioqCjPmMPh0IwZM5SWlqaRI0dq+/btWrx4scLCwjy3ITY2NuqVV17RP/7xD02YMEFxcXH64osvtH79ep0+fVrvvfeeX48JAICHRb+n3wN3IgQATGrKlClNxsLDw3Xs2DGvserqau3YsUMdO3aUdKsxrlq1SrW1tdqyZYtCQ2/9b+TatWsqKytTbm6uwsPDJUnvvPOO2rZt69nXiy++qJycHH3wwQeaN2+eZ54/dOjQQampqdq6dat+/vOfKyTk1o1Pn376qf79739r+vTpXvMvXbqkhQsXaurUqZKkiRMnasKECfrVr36l9PR0hYWFqaysTHv37lVpaameeeYZz7Y9e/bUokWLdOjQIfXv399vxwQAwMOi39PvgTvxOABgUjk5Ofrtb3/r9VdxcXGTec8//7znA4EkJSYmSpLGjBnj+UBwe7y+vt5zy50krw8Et7+JeOaZZ3Tz5k3Z7XZ/HJaX9PR0Xbp0SQcOHPCMlZWVqW3btvrBD37gNTc0NFQTJ070LIeHh2vixIm6cuWKTpw4IUmqqKhQXFycYmNjdfXqVc9fgwcPliSvPwcAgJaAfk+/B+7EnQCASSUmJj7Qi4KeeOIJr+XbHxDuNe5wOBQdHS1JOnnypN59913t379fNTU1XvNdLtfXrv1BJScnKzIyUn/5y1+UlJSkxsZGbd26VcOGDVOHDh285nbp0kXt2rXzGouJiZEkXbhwQX379tWZM2dUVVWlpKSku/55V65c8ctxAADwddHv6ffAnQgBADTrscceu+v47dvt7nT7p3+cTqd+/OMfq0OHDpozZ466d++uNm3a6MSJE3r77bfV2Njot5pve+yxxzR69Ght3rxZixcv1qFDh3Tp0iWNGTPma+2vsbFR3/72t+/5u8uPP/74o5QLAIBh6Pf/Q79HsCMEAOAXBw8e1PXr11VUVKQBAwZ4xs+fPx/QOtLT07Vu3Tp9/PHHqqysVEREhJ599tkm8y5duqQvv/zS69uB06dPS5K6du0q6dZvKn/++edKSkqSxWIJSP0AALRk9Hug9eGdAAD84vY3B7e/KZBu/dzO73//+4DW8Z3vfEfx8fH64x//qB07dmjkyJFezzbe9t///lebNm3yLNfV1WnTpk2KiIjQd7/7XUlSWlqaqqurtXnz5ibb19bW6ssvv/TfgQAA0ALR74HWhzsBAJOqrKy868t6+vfv73nG71H069dPNptNCxcu1KRJk2SxWPTRRx95fUgIlB/+8IfKz8+XpHveGtilSxcVFxfrwoULiomJUXl5uT777DMtWbJEYWFhkm59y7B9+3YtWrRIBw4cUP/+/dXQ0CC73a6KigqtWbPmgZ67BAAgUOj33uj3ACEAYFrLly+/6/iyZct88qGgc+fOWrlypfLz8/Xuu+/KarVqzJgxSkpKavJzPf42evRovf3224qOjva87fhONptNeXl5Wrp0qTZv3qxvfvObysnJ0YQJEzxzQkJCtGLFCpWUlOijjz7Szp079Y1vfEPdunXTpEmT1KNHj0AdEgAAD4R+741+D0gWtxExHQAE0NWrV/X9739fP/3pT5Wdnd1k/aRJk3Tt2jVt3brVgOoAAIAv0O+BB8M7AQAEvQ8//FANDQ1KT083uhQAAOAn9HvgwfA4AICgtW/fPlVVVWnlypVKTU1Vt27djC4JAAD4GP0eeDiEAACC1nvvvafDhw+rX79+euONN4wuBwAA+AH9Hng4vBMAAAAAAACT4J0AAAAAAACYBCEAAAAAAAAmQQgAAAAAAIBJEAIAAAAAAGAShAAAAAAAAJgEIQAAAAAAACZBCAAAAAAAgEkQAgAAAAAAYBL/H/9jm6Hoigq4AAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set_palette(\"Set2\")\n",
        "sns.set(style='whitegrid')\n",
        "\n",
        "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12, 10))\n",
        "\n",
        "sns.barplot(x='Email Type', y='num_of_characters', data=df, ax=axes[0, 0])\n",
        "axes[0, 0].set_title('Mean Number of Characters')\n",
        "\n",
        "sns.barplot(x='Email Type', y='no_of_words', data=df, ax=axes[0, 1])\n",
        "axes[0, 1].set_title('Mean Number of Words')\n",
        "\n",
        "sns.barplot(x='Email Type', y='no_of_sentence', data=df, ax=axes[1, 0])\n",
        "axes[1, 0].set_title('Mean Number of Sentences')\n",
        "\n",
        "sns.boxplot(x='Email Type',y='num_of_characters',data=df, ax=axes[1, 1])\n",
        "axes[1, 1].set_title('Distribution of Number of Characters')\n",
        "\n",
        "fig.suptitle('Comparison of Email Characteristics between Spam and Non-Spam', fontsize=18, weight='bold')\n",
        "\n",
        "for ax in axes.flatten():\n",
        "    ax.grid(False)\n",
        "\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qbf4otCqJxWy",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3dd79792-e454-4d42-e7f6-bbf35b924d47"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        re : 6 . 1100 , disc : uniformitarianism , re ...\n",
              "1        the other side of * galicismos * * galicismo *...\n",
              "2        re : equistar deal tickets are you still avail...\n",
              "3        \\nHello I am your hot lil horny toy.\\n    I am...\n",
              "4        software at incredibly low prices ( 86 % lower...\n",
              "                               ...                        \n",
              "18645    date a lonely housewife always wanted to date ...\n",
              "18646    request submitted : access request for anita ....\n",
              "18647    re : important - prc mtg hi dorn & john , as y...\n",
              "18648    press clippings - letter on californian utilit...\n",
              "18649                                                empty\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ],
      "source": [
        "text=df[\"Email Text\"]\n",
        "text"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text=text.str.replace(\"[^a-zA-z0-9]+\",\" \")\n",
        "text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zo1v0xyUrRWY",
        "outputId": "b2fc101c-ce77-4f7b-bdc0-cfa5be31770e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        re 6 1100 disc uniformitarianism re 1086 sex l...\n",
              "1        the other side of galicismos galicismo is a sp...\n",
              "2        re equistar deal tickets are you still availab...\n",
              "3         Hello I am your hot lil horny toy I am the on...\n",
              "4        software at incredibly low prices 86 lower dra...\n",
              "                               ...                        \n",
              "18645    date a lonely housewife always wanted to date ...\n",
              "18646    request submitted access request for anita dup...\n",
              "18647    re important prc mtg hi dorn john as you disco...\n",
              "18648    press clippings letter on californian utilitie...\n",
              "18649                                                empty\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sentence = \"Hai hello world isn t I don t konw He is brillant in that field \"\n",
        "str1 = re.sub('[^a-zA-Z0-9]+',\" \",sentence)\n",
        "str1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "HsyWV5_8rRYR",
        "outputId": "7b4c28fb-893a-434f-b5d8-5a642ea1cbcf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Hai hello world isn t I don t konw He is brillant in that field '"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.tokenize import word_tokenize\n",
        "text = text.apply(lambda x:\" \".join([w for w in word_tokenize(x) if len(w)>=3]))\n",
        "text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J4yp4W5xrRaN",
        "outputId": "f27f623a-a477-4d4d-86f2-cefb252de252"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        1100 disc uniformitarianism 1086 sex lang dick...\n",
              "1        the other side galicismos galicismo spanish te...\n",
              "2        equistar deal tickets are you still available ...\n",
              "3        Hello your hot lil horny toy the one you dream...\n",
              "4        software incredibly low prices lower drapery s...\n",
              "                               ...                        \n",
              "18645    date lonely housewife always wanted date lonel...\n",
              "18646    request submitted access request for anita dup...\n",
              "18647    important prc mtg dorn john you discovered rec...\n",
              "18648    press clippings letter californian utilities p...\n",
              "18649                                                empty\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk import TweetTokenizer\n",
        "tk=TweetTokenizer()\n",
        "text=text.apply(lambda x:tk.tokenize(x)).apply(lambda x:\" \".join(x))\n",
        "text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ivr1xTy5rRUY",
        "outputId": "b5697576-3f28-4a2d-f084-8fbf97ccbc53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        1100 disc uniformitarianism 1086 sex lang dick...\n",
              "1        the other side galicismos galicismo spanish te...\n",
              "2        equistar deal tickets are you still available ...\n",
              "3        Hello your hot lil horny toy the one you dream...\n",
              "4        software incredibly low prices lower drapery s...\n",
              "                               ...                        \n",
              "18645    date lonely housewife always wanted date lonel...\n",
              "18646    request submitted access request for anita dup...\n",
              "18647    important prc mtg dorn john you discovered rec...\n",
              "18648    press clippings letter californian utilities p...\n",
              "18649                                                empty\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.stem import SnowballStemmer\n",
        "stemmer=SnowballStemmer('english')\n",
        "text=text.apply(lambda x : [stemmer.stem(i.lower()) for i in tk.tokenize(x)]).apply(lambda x:\" \".join(x))\n",
        "text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ah3xb_ESrRcF",
        "outputId": "a2f442ed-c201-4edb-ff68-ae7672604f8b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        1100 disc uniformitarian 1086 sex lang dick hu...\n",
              "1        the other side galicismo galicismo spanish ter...\n",
              "2        equistar deal ticket are you still avail assis...\n",
              "3        hello your hot lil horni toy the one you dream...\n",
              "4        softwar incred low price lower draperi sevente...\n",
              "                               ...                        \n",
              "18645    date lone housewif alway want date lone housew...\n",
              "18646    request submit access request for anita dupont...\n",
              "18647    import prc mtg dorn john you discov recent sti...\n",
              "18648    press clip letter californian util pleas find ...\n",
              "18649                                                empti\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from nltk.corpus import stopwords\n",
        "nltk.download\n",
        "stop=stopwords.words(\"english\")\n",
        "text = text.apply(lambda x:[i for i in word_tokenize(x) if i not in stop]).apply(lambda x:\" \".join(x))\n",
        "text"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3sb1d9SMrReH",
        "outputId": "4b9ac18d-f629-4b95-83f0-f0f68c8a86f9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        1100 disc uniformitarian 1086 sex lang dick hu...\n",
              "1        side galicismo galicismo spanish term name imp...\n",
              "2        equistar deal ticket still avail assist robert...\n",
              "3        hello hot lil horni toy one dream veri open mi...\n",
              "4        softwar incred low price lower draperi sevente...\n",
              "                               ...                        \n",
              "18645    date lone housewif alway want date lone housew...\n",
              "18646    request submit access request anita dupont enr...\n",
              "18647    import prc mtg dorn john discov recent still o...\n",
              "18648    press clip letter californian util pleas find ...\n",
              "18649                                                empti\n",
              "Name: Email Text, Length: 18634, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Transformed_Text']=text"
      ],
      "metadata": {
        "id": "w9gZgay7uzJo"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 275
        },
        "id": "nwh2Pjjz24Yn",
        "outputId": "c463da63-6059-457e-967d-1b574074ea0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                          Email Text  Email Type  \\\n",
              "0  re : 6 . 1100 , disc : uniformitarianism , re ...           1   \n",
              "1  the other side of * galicismos * * galicismo *...           1   \n",
              "2  re : equistar deal tickets are you still avail...           1   \n",
              "3  \\nHello I am your hot lil horny toy.\\n    I am...           0   \n",
              "4  software at incredibly low prices ( 86 % lower...           0   \n",
              "\n",
              "   num_of_characters  no_of_words  no_of_sentence  \\\n",
              "0               1030          230              10   \n",
              "1                479           91               7   \n",
              "2               1245          305               8   \n",
              "3                688          116               8   \n",
              "4                441           91              13   \n",
              "\n",
              "                                    Transformed_Text  \n",
              "0  1100 disc uniformitarian 1086 sex lang dick hu...  \n",
              "1  side galicismo galicismo spanish term name imp...  \n",
              "2  equistar deal ticket still avail assist robert...  \n",
              "3  hello hot lil horni toy one dream veri open mi...  \n",
              "4  softwar incred low price lower draperi sevente...  "
            ],
            "text/html": [
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
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              "      <th>Email Text</th>\n",
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              "      <td>the other side of * galicismos * * galicismo *...</td>\n",
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              "      <td>equistar deal ticket still avail assist robert...</td>\n",
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              "      <td>688</td>\n",
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              "      <td>hello hot lil horni toy one dream veri open mi...</td>\n",
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              "    <div class=\"colab-df-buttons\">\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c65d6c3c-7b13-45f0-a426-2bcb8bc40ccc')\"\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c65d6c3c-7b13-45f0-a426-2bcb8bc40ccc button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c65d6c3c-7b13-45f0-a426-2bcb8bc40ccc');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-c6a60a69-1591-4134-b743-6409af3198d7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-c6a60a69-1591-4134-b743-6409af3198d7')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-c6a60a69-1591-4134-b743-6409af3198d7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "wc=WordCloud(width=550,height=550,min_font_size=12,background_color='black')"
      ],
      "metadata": {
        "id": "UB49RiHGvBD0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "spam_wc = wc.generate(df[df['Email Type']==1]['Transformed_Text'].str.cat(sep=' '))"
      ],
      "metadata": {
        "id": "38ZYpXiKvcTE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12,6))\n",
        "plt.imshow(spam_wc,interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "4uwg_W_Mvuje",
        "outputId": "06478867-0f97-42fe-81a0-27e582b61100"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "not_spam_wc = wc.generate(df[df['Email Type']==0]['Transformed_Text'].str.cat(sep=' '))\n",
        "plt.figure(figsize=(12,6))\n",
        "plt.imshow(not_spam_wc,interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 499
        },
        "id": "vI0PtgYwv_Gn",
        "outputId": "7997480d-733e-4e5c-9821-82a9b9bfe616"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "spam_corpus = []\n",
        "for msg in df[df['Email Type']==1]['Transformed_Text'].tolist():\n",
        "  for words in msg.split():\n",
        "    spam_corpus.append(words)"
      ],
      "metadata": {
        "id": "h8BMb3f9wtG-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(spam_corpus)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8vljQYYGwtIr",
        "outputId": "631aff96-e0c5-4d4b-d37f-7b59857f9d8f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3531057"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "Counter(spam_corpus).most_common(30)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pAmFDeknwtKl",
        "outputId": "d8012c4e-9153-45ea-8133-8d6dd6ebe9f7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('languag', 23773),\n",
              " ('enron', 19277),\n",
              " ('univers', 18442),\n",
              " ('http', 16199),\n",
              " ('linguist', 15813),\n",
              " ('com', 15361),\n",
              " ('use', 13808),\n",
              " ('mail', 13460),\n",
              " ('one', 12417),\n",
              " ('inform', 11977),\n",
              " ('list', 11587),\n",
              " ('subject', 11530),\n",
              " ('paper', 11022),\n",
              " ('ect', 11014),\n",
              " ('would', 10852),\n",
              " ('www', 10570),\n",
              " ('new', 10404),\n",
              " ('pleas', 10324),\n",
              " ('work', 9614),\n",
              " ('ani', 9165),\n",
              " ('time', 8828),\n",
              " ('confer', 8575),\n",
              " ('address', 8566),\n",
              " ('also', 8486),\n",
              " ('like', 7950),\n",
              " ('includ', 7836),\n",
              " ('may', 7739),\n",
              " ('get', 7538),\n",
              " ('system', 7150),\n",
              " ('research', 7137)]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "word_frequencies = Counter(spam_corpus).most_common(30)\n",
        "word_freq_df = pd.DataFrame(word_frequencies,columns=['Word','Frequency'])\n",
        "\n",
        "plt.figure(figsize=(12,8))\n",
        "sns.barplot(x='Frequency',y='Word',data=word_freq_df,palette='copper')\n",
        "plt.xlabel('Frequency')\n",
        "plt.ylabel('Word')\n",
        "plt.title('Top 30 Most Common Words in Spam Corpus',weight='bold',fontsize=16)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 720
        },
        "id": "FNw65DT-wtN9",
        "outputId": "24535956-5380-45cc-baf3-b7667e629f06"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "non_spam_corpus = []\n",
        "for msg in df[df['Email Type']==0]['Transformed_Text'].tolist():\n",
        "  for words in msg.split():\n",
        "    non_spam_corpus.append(words)"
      ],
      "metadata": {
        "id": "Gjfh8uPNx8_Z"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(non_spam_corpus)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W5YkyAC_x9DD",
        "outputId": "7cf312bc-ca5e-4e92-8f66-656c41eba5ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1055135"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "word_frequencies_non_spam = Counter(non_spam_corpus).most_common(30)\n",
        "word_freq_df_non_spam  = pd.DataFrame(word_frequencies_non_spam,columns=['Word','Frequency'])\n",
        "plt.figure(figsize=(12,8))\n",
        "sns.barplot(x='Frequency',y='Word',data=word_freq_df_non_spam,palette='plasma')\n",
        "plt.xlabel('Frequency')\n",
        "plt.ylabel('Word')\n",
        "plt.title('Top 30 Most Common Words in Non-Spam Corpus',weight='bold',fontsize=16)\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 757
        },
        "id": "Mp4M7hRzyRjJ",
        "outputId": "e7f7bc4f-ce7e-48ea-c497-5aa78eb2c711"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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jjjxfs99++y3LcdesWZOv637q1CkjJCTEoY2goCCjU6dOWe4ZScY777zjUD/z+0O6nHyLjIw07rzzTqNSpUo5JqWky78DO3XqZNSsWTPLvkWLFjkc6+p9+U1KXf2+kWTUrFnT6NGjh9G+fXsjIiLC/P1AUgoo/EhKAcB1uFZSas2aNVn+iPv555/N/evXr3f4UmuxWIx9+/bl2L6Pj4+RkJBg7l+9erVhsVgc/pC/nic3PfHEE9l+oShdurTxySefZCmfOUETFhaWpcylS5eytHf8+PE8x5S5rmEYxpAhQ8z1UaNGGTNnzjTXO3ToYBhG7l/wMicAqlSp4vAkqP/85z9ZvoRc6X327rvvOuxLSkpyiDcjI8PYvn278fLLL+d6Ltf79L0777zToZ37778/X/VPnz6dpZfdsmXLzP1JSUlZ/uP+2muvmfuzS0q99dZb5v57773XYZ/FYjHWrVtnGMbleyHzF+hvv/3WIb7MbQ8cONDs9fHyyy9n2X/1EyHHjx/vsG/mzJnmvr179zq8Rzw8PByOvXv3bsNms+X45TC7L8xXEjHZ7W/Xrl2+XpfMCd4aNWoYhmEYe/bsMbdFRUUZhmEYs2bNMrc999xzhmFk7aWycOFCs+0bud8NI+sXRQ8PjyyfB//8849x/PjxLAn2Dz/80CyzY8eOLPfe1Umpp59+2tzu7++f5Wmdly5dMjZu3Ohw3fMiv0mpIUOGGJcuXTIM43Jv0auToV5eXsaFCxfyfOzsklK///67w3X44osvDMO4dZ9ZhpH1NbTZbMbOnTtz3H/1eyevLl26lKfewF5eXsbkyZPNa5zTtZJkfPbZZ+b+7du3Z7l/rn4Pnzx5Mscn+l39PpIu90i+Wubfsb6+vsZPP/1kGIZhnD9/3ggLC3PYX758efNYx48fd0iYWa3WPN8jW7ZsyXLOv/zyS57qXvHYY4851G/evLlDT83M/4QoX768kZ6ebu7P/P4IDAx06MGXkZFh/mMic9natWsbycnJOcZSpUoVh1iv3pffpFSnTp3M7Vd+z18tLS3N+Pzzz421a9fm6/oBKHiYUwoAboFPP/3UYX348OGqXbu2uR4VFaVevXqZ64Zh5DpvyoMPPujwdL8uXbo4zN+RkZGhdevW3YzQJUl//PGHevbsqUGDBik9PT3HckY2c0hkt+1GjRs3zvz57bffdph8PvMT+bKT+fV49NFHVaFCBXP9X//6l5o2bWqunzt3zryelSpVylL37bff1saNG5WcnCyLxaLIyEg9/PDD+Tup65Tf6/v11187PP2qefPmeuCBB8z1sLAwPfroow51Pvvssxzbq1q1qgYPHmyut27d2mF/u3btzLlR3N3dHSbmlnTN+Zeeeuopcz6uzG37+fnpscceM9czz2Fzdduff/65w7Xq3bu3wwTjdevW1fDhwx3q53bezZs316BBg8z1u+66K8dj50WtWrUUHBxsrh84cEAnT550mCfqyhxRV8d9ZX9u80ndyP2enYEDBzrMbSVJVqtV8fHxunTpkrmtRYsW6t27t7nesGFD9evXL8d2r35v/f3335o4caKWLVumLVu26K+//pK7u7tatWrlcN1vNm9vbz377LNyd3eXJEVERCgiIsLcf+HCBYcHP1yPcuXKacyYMeb6E088cc338c1+DUeOHKkGDRqY67ndv/Hx8erTp0+2ywcffGCWc3d316pVq/TYY49lO4fdFRcuXND8+fP15JNP5nLGl9/P3bt3N9cjIyOz3D9fffWV+XOZMmV09OhRDRs2TPXq1ZPNZpO7u7ssFkuWORN/+eWXXI/dt29f1atXT9Lle+Lqh3tI0ogRI8zrX7ZsWdWpU8fcZ7fbb+geye9neuZ7Y8aMGQoMDDTXH3vsMZUrV85c//333x2elpvZxIkTHT5rLRaLvLy8si0bExPj8Lk1bdo0+fv7m+uHDh1SYmJins8lN1d/PiQkJGjWrFn6+OOPtXv3bp0/f16+vr7q1q2b7rjjjptyPACuQ1IKAG6BqyfWlWT+sXu1q78gSJefspOT7J7YlPmP7t9++y0fEV42e/ZsGYah8+fPKzExUQsWLFCJEiXM/UuXLtUbb7xhrl/9h68kh0eBX5H5EdfZ1cuvBg0amMmNs2fP6uTJk5IuJ0i6det2zfo38nq0bt1aXbt2Nbe///77GjhwoNq0aaOQkBCVL19egwcP1k8//ZSfU8qzzJMDZz6Xa7nZ92Lm++7qLyR52Z/bpMo2m81hAvDMdatUqeIw8X5ubd/s8746AXAl1pyOnVeZHyqwYcMGhyfxXUk0NW/eXFarVZL0/fff68yZMw73W0BAgMO53Oxzz5xYvCLzZ052x8nugQpX9O7dWw0bNjTXX3vtNfXr10/NmzdXqVKlVKVKFY0ZMybf93x+VKtWLctDEm7Ga5vZY489Zra7c+dOvf/++7mWd+X9e2Xi6+yWvXv3OtTz9vZWbGysTpw4oVWrVunxxx9XVFSUeb9e7cUXX9TFixdzjDG/v+eef/55tWrVSm+++ab27Nmj1NTUbB9aIEkpKSk5HlfKen1v5ufa1TJ/nks3/zPdw8PD4Z9g0vW9v7OT+TXy8fFR1apVHbZdz98i2Zk4caL5t0NqaqqmT5+uXr16qX79+vL391ejRo00Z86c63rYC4CChaQUANwCmf/zmflJbAWNt7e3qlSpoujoaD399NMO+67+z3iVKlUcHk19+vTpLImpzD1GwsPD5e3tfcMxXt1b6ooxY8bIze3av8pu9PX47LPPFBcXpzvvvFOlS5d22Hfs2DEtWbJEzZo1u64nMV1L5t5C27dvN5NyeXGz78XMCcbM1z8vT0F0Rts3+7yDgoIc1q/0rLkRV/eAki73frqSlHJ3d1fLli0lXX5/NmvWTJL0559/atGiRQ5fvlu1auVwrW72uV/d6+Jm8vb21g8//KB///vfat++fZZEyeHDh/Xyyy+rUaNGN+2LbmaZX1fp5ry2mZUqVUqTJ08216dOnerQyyyzwnD/Xs3Hx0ddu3bV008/rfXr1+uvv/7SnDlzHMqcPXtWSUlJN+V4x48f15QpUxy2hYWF6c4771Tv3r0deuxJ1+6NdCs/165WsWJFhx5vkhyeKpsXheX9nVl293tuv8tq1qypPXv26PHHH1fjxo0d/o5IT0/Xjh079MQTT6h9+/a59ugGUPCRlAKAW6By5coO67t3785SJnPPmsx1rlX/559/dljPPMzsepUvX95h/cSJE+bPVqtVzZs3d9ifORGzefNmh/XMX7yv11133eXwSGl/f38NGTIkT3Vv9PVwd3fXoEGD9MUXX+jUqVM6c+aMduzYoalTp5pl7Ha7w7DCm+Wuu+6Sr6+vuX7x4sVrPlr+0qVLZtLiZt+LhUVhOO/M740VK1bof//7n6TLQ5f8/PyyLfv888871Lt66J508889p8RvxYoVHdb37NmTpUzmz6nMfHx8NHbsWK1bt05nzpzRn3/+qc2bNzsMrfzrr78UFxeXazuFwfjx41W2bFlJ0sGDB3Md8unK+3fQoEEyLs87m2WZMWOGWe7EiRM5Jnt8fHwUExOTJZlz9T81MsvP77kff/zRIcnRrVs3/fbbb/riiy/04Ycf6sUXX7zmebrK1cOnJenNN9+85vDCq3tiXeveuHTpUpYebdfz/s5O5mP9888/OnTokMO2q/8WyfxPrKvvl/Pnz2vbtm25Hq98+fJ6+umntXXrVp09e1a///67vvrqK4fPvISEBIcepgAKH5JSAHALXD0vhiS98cYbDn90btiwQR999JG5brFYch2G9u677zrMCfHll1/q66+/Ntfd3NzMeXyuZePGjZo3b56OHj2aZd+xY8c0d+5ch23VqlVzWB86dKjDemxsrDkk4++//9aCBQsc9g8bNixPcV2Lu7u7HnnkEQUFBSkoKEgjRozIdR6Tq2V+PZ599lkdO3bMXH/vvfcckms+Pj7mfEVJSUlasGCBwx/eNptNDRs2VP/+/R3avTqBd6WdK/7888/rGgYUHBycpUfAW2+9pYcffjjLkJRLly5pxYoVql+/vlJTUyVdnqfl6jh+/PFHh95vv//+u5555hmHdjJfr8KoW7duDj0IVq5cqY0bN5rre/fudRiaKjn/vBs2bOhwD199/2ROWF29nvk+y5yUupH7PT+ioqLk4eFhrm/atEmffPKJuf7TTz/p3XffzbH+zp079frrrzvEVqpUKTVr1kx9+vRxKJv5nAsjX1/fa86rdIWzXsMbsXjxYtWuXVsLFy7U8ePHs+z/6quv9Ndff5nrgYGBWf7pcbV169Zp9erV5vquXbuy3D8dO3aUpCzDAL29vc33u91u18SJE/N/Qk7y2GOPOczLdO7cOXXs2FHffPNNlrKHDx/WuHHjHO6bzPfGzJkzHX4XPPPMMw73Srly5dSoUaObEvvcuXMd5s+aPXu2+btGupz8uno439W9sM6fP6+3335b0uV5xsaOHatTp07leKyPP/5YK1euNIfnubm5qVy5curYsWOWz7yi8PkAFGce1y4CAMivrl27KioqSvHx8ZIu/4ewUaNGatq0qS5evKiEhASH//IOGjRItWrVyrG98+fPq1WrVmrWrJkuXbqkLVu2OPzHsW/fvnn+L/mpU6f02GOP6bHHHlOVKlVUvXp1eXl56eTJk9q2bVuWbvCZJ/Du37+/XnvtNbNH1JdffqmIiAjVqVNHW7dudfjj8P7778/yx+ONGDduXLbD+K5lyJAhWrhwofbv3y/pci+FWrVqqWnTpjpz5kyW/9Y+9thj5n/4T58+rQkTJmjChAmqWLGiqlWrpoCAAP39999ZeoVlfg1r1qypHTt2SJLS0tJUv3591a5dW+7u7rrrrrs0YMCAPMX/xBNPaPfu3VqxYoW57dVXX1VcXJyaNm2qUqVK6c8//9TOnTuzzK9xZdjQzJkzzW19+/bVvHnzVLJkSSUkJDh8qahZs6bDROaFVe3atTVgwAAtXbpU0uUvsVF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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "vec = TfidfVectorizer()\n",
        "data=vec.fit_transform(text)\n",
        "data"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nbzvhqOSrRhc",
        "outputId": "a39ff4e7-b110-4b03-f2b2-3357a2afdadb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<18634x134208 sparse matrix of type '<class 'numpy.float64'>'\n",
              "\twith 1906590 stored elements in Compressed Sparse Row format>"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e59fhftSroPv",
        "outputId": "2b3bd9b0-ca75-4d40-8daa-9e66c2a2a688"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(18634, 134208)"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y=df[\"Email Type\"].values\n",
        "y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QSI6zKQiroRV",
        "outputId": "27802712-fb6c-4bc8-8723-94ad58e1624b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 1, 1, ..., 1, 1, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X=data"
      ],
      "metadata": {
        "id": "_Mi_vLszroU0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "# Create a StandardScaler with with_mean=False for sparse matrices\n",
        "scaler = StandardScaler(with_mean=False)\n",
        "\n",
        "# Fit and transform the data\n",
        "X_scaled = scaler.fit_transform(X)"
      ],
      "metadata": {
        "id": "prlukeQ5s-F4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train,X_test,y_train,y_test=train_test_split(X_scaled,y,test_size=0.30,random_state=42)\n",
        "X_train.shape,X_test.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d03qUAAOryZd",
        "outputId": "315f0b4d-2588-4b9a-b5b4-1576a0f7acd3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((13043, 134208), (5591, 134208))"
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_train.shape,y_test.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SjEpQwnCrybe",
        "outputId": "3433779f-a6d7-43c7-ccd6-f9cde8ae08a1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((13043,), (5591,))"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from imblearn.over_sampling import SMOTE\n",
        "smote = SMOTE(random_state=42)\n",
        "X_resampled, y_resampled = smote.fit_resample(X_train, y_train)"
      ],
      "metadata": {
        "id": "AjzezAPesEfc"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "model = DecisionTreeClassifier()\n",
        "model.fit(X_resampled, y_resampled)\n",
        "train_pred = model.predict(X_resampled)\n",
        "train_accuracy = accuracy_score( y_resampled, train_pred)\n",
        "test_pred = model.predict(X_test)\n",
        "test_accuracy = accuracy_score(y_test, test_pred)"
      ],
      "metadata": {
        "id": "6gVza6W3rydZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_accuracy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hy1U8SSv6UoS",
        "outputId": "824a8397-2fda-46be-8430-8a9436db3e7d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9912181658512106"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_accuracy"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yWrlKZX96aPC",
        "outputId": "869c06bf-053b-42dc-e5fc-28b7ba7d9510"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.918261491683062"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* train_accuracy>test_accuracy\n",
        "* Indication of overfitting"
      ],
      "metadata": {
        "id": "2YjDD9E66nR9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import RandomForestClassifier\n",
        "rfc = RandomForestClassifier(n_estimators= 30,random_state=42)\n",
        "rfc.fit(X_resampled, y_resampled)\n",
        "y_pred1=rfc.predict(X_test)\n",
        "y_pred1"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3xAu1y0C-HT9",
        "outputId": "49ac08c3-fb6a-4c2f-bbb5-2109a10e3d5b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 0, 1, ..., 1, 0, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import confusion_matrix,accuracy_score,classification_report\n",
        "from sklearn.metrics import ConfusionMatrixDisplay\n",
        "\n",
        "print(accuracy_score(y_test,y_pred1))\n",
        "print(classification_report(y_test,y_pred1))\n",
        "\n",
        "result=confusion_matrix(y_test,y_pred1)\n",
        "labels=[1,0]\n",
        "cmd=ConfusionMatrixDisplay(result,display_labels=labels)\n",
        "cmd.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "XTeBEOEZ-m8p",
        "outputId": "c67a48fd-beb4-4e8a-fd0c-a27231e01d2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9585047397603291\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.94      0.96      0.95      2240\n",
            "           1       0.97      0.96      0.97      3351\n",
            "\n",
            "    accuracy                           0.96      5591\n",
            "   macro avg       0.96      0.96      0.96      5591\n",
            "weighted avg       0.96      0.96      0.96      5591\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7ae9b0525b70>"
            ]
          },
          "metadata": {},
          "execution_count": 91
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from xgboost import XGBClassifier\n",
        "xgb = XGBClassifier(n_estimators=100,random_state=42)\n",
        "xgb.fit(X_resampled, y_resampled)\n",
        "y_pred2=xgb.predict(X_test)\n",
        "y_pred2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o3RF7YeIAldg",
        "outputId": "91825e86-74e6-4d6d-a122-7bdeaa299955"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 0, 1, ..., 1, 0, 1])"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(accuracy_score(y_test,y_pred2))\n",
        "print(classification_report(y_test,y_pred2))\n",
        "\n",
        "result=confusion_matrix(y_test,y_pred2)\n",
        "labels=[1,0]\n",
        "cmd=ConfusionMatrixDisplay(result,display_labels=labels)\n",
        "cmd.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 640
        },
        "id": "X2y0FQUdAxso",
        "outputId": "f4e1f0b1-02d9-431b-d097-9095cf2f72ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9604721874441066\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.93      0.98      0.95      2240\n",
            "           1       0.99      0.95      0.97      3351\n",
            "\n",
            "    accuracy                           0.96      5591\n",
            "   macro avg       0.96      0.96      0.96      5591\n",
            "weighted avg       0.96      0.96      0.96      5591\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7ae9b051c7c0>"
            ]
          },
          "metadata": {},
          "execution_count": 92
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "pickle.dump(vec,open('/content/drive/MyDrive/NLP_ML_Datasets/vectorizer.pkl','wb'))\n",
        "pickle.dump(xgb, open('/content/drive/MyDrive/NLP_ML_Datasets/model.pkl', 'wb'))"
      ],
      "metadata": {
        "id": "iO_dXwTL8nWF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "xX3p_fS6Cry5"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1juAoG4HJMesTiY0IQPPmMMpkmeSDNMnE",
      "authorship_tag": "ABX9TyOUpm+IXO2UH/x8Ijm7i1cQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}