phishing_detector.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "phishing-detector.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyMZHZzZKE3KfelSUDRfner+",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/yashi4001/phishing-detector/blob/main/phishing_detector.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "nQhYP19WwsfI"
      },
      "outputs": [],
      "source": [
        "! pip install -q kaggle"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": "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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 91
        },
        "id": "ayFI9A0p1HdQ",
        "outputId": "c2fc4230-f514-4e94-f885-f6edd857ed82"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0c31f39a-997b-4e1c-82b3-e3acd68de2ed\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-0c31f39a-997b-4e1c-82b3-e3acd68de2ed\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving kaggle.json to kaggle.json\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'kaggle.json': b'{\"username\":\"yashi4001\",\"key\":\"031f435b938c5de421e07660a97aae76\"}'}"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir -p ~/.kaggle"
      ],
      "metadata": {
        "id": "qvvoSKwu1O18"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!cp kaggle.json ~/.kaggle/"
      ],
      "metadata": {
        "id": "6ja50cQ-1_Fk"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! chmod 600 ~/.kaggle/kaggle.json"
      ],
      "metadata": {
        "id": "NFct3Oam2ND5"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "! kaggle datasets list"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UHrZNGTW2Qqj",
        "outputId": "0e9b1333-6421-426c-d9f1-413c87562f2f"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.12 / client 1.5.4)\n",
            "ref                                                         title                                               size  lastUpdated          downloadCount  \n",
            "----------------------------------------------------------  -------------------------------------------------  -----  -------------------  -------------  \n",
            "nkitgupta/jigsaw-regression-based-data                      Jigsaw Regression Based Data                         3GB  2022-01-10 06:29:59            563  \n",
            "yamqwe/omicron-covid19-variant-daily-cases                  Omicron daily cases by country (COVID-19 variant)  432KB  2022-01-24 07:15:53          10101  \n",
            "prasertk/netflix-subscription-price-in-different-countries  Netflix subscription fee in different countries      3KB  2022-01-15 07:06:09           1212  \n",
            "yasserh/wine-quality-dataset                                Wine Quality Dataset                                21KB  2022-01-15 19:15:11           1115  \n",
            "iamsouravbanerjee/analytics-industry-salaries-2022-india    Data Professionals Salary - 2022                    56KB  2022-01-28 08:47:00           1381  \n",
            "yamqwe/netflix-showse                                       Netflix Shows                                       11KB  2022-01-23 00:03:01            491  \n",
            "sanjeetsinghnaik/top-1000-highest-grossing-movies           Top 1000 Highest Grossing Movies                   106KB  2022-01-15 16:26:14            694  \n",
            "yasserh/amazon-product-reviews-dataset                      Amazon Product Reviews Dataset                     708KB  2022-01-23 17:21:16            244  \n",
            "vishalmane10/anime-dataset-2022                             Anime DataSet 2022                                   5MB  2022-01-16 13:56:16            659  \n",
            "carlmcbrideellis/gdp-20152019-finland-norway-and-sweden     GDP 2015-2019: Finland, Norway, and Sweden          365B  2022-01-05 07:48:49            476  \n",
            "sandipdevre/petrol-prices-in-india                          Petrol Prices In India                               3KB  2022-01-27 09:07:35            148  \n",
            "dansbecker/melbourne-housing-snapshot                       Melbourne Housing Snapshot                         451KB  2018-06-05 12:52:24          79536  \n",
            "yamqwe/men-s-shoe-pricese                                   🩰 Men's Shoe Prices                                  6MB  2022-01-24 15:19:48            238  \n",
            "nenamalikah/nft-collections-by-sales-volume                 Top NFT Collections                                 47KB  2022-01-17 00:47:41            491  \n",
            "meetnagadia/netflix-stock-price-data-set-20022022           Netflix Stock Price Data set 2002-2022              94KB  2022-01-12 05:28:11            340  \n",
            "datasnaek/youtube-new                                       Trending YouTube Video Statistics                  201MB  2019-06-03 00:56:47         164457  \n",
            "zynicide/wine-reviews                                       Wine Reviews                                        51MB  2017-11-27 17:08:04         153312  \n",
            "fedesoriano/stellar-classification-dataset-sdss17           Stellar Classification Dataset - SDSS17              7MB  2022-01-15 17:11:30            352  \n",
            "rtatman/188-million-us-wildfires                            1.88 Million US Wildfires                          168MB  2020-05-12 21:03:49          18701  \n",
            "datasnaek/chess                                             Chess Game Dataset (Lichess)                         3MB  2017-09-04 03:09:09          27280  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! kaggle datasets download taruntiwarihp/phishing-site-urls"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e4aPNj1h2Tba",
        "outputId": "1028c520-5036-4292-9e87-51c2724b34eb"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading phishing-site-urls.zip to /content\n",
            "\r  0% 0.00/9.03M [00:00<?, ?B/s]\r 55% 5.00M/9.03M [00:00<00:00, 49.5MB/s]\n",
            "\r100% 9.03M/9.03M [00:00<00:00, 57.8MB/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "! unzip phishing-site-urls.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JgnoyB3Z2wPs",
        "outputId": "44be1d56-936a-4de1-835f-1937c530d834"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Archive:  phishing-site-urls.zip\n",
            "  inflating: phishing_site_urls.csv  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "from nltk.tokenize import RegexpTokenizer\n",
        "from nltk.stem.snowball import SnowballStemmer\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "OELTp8no4cn-"
      },
      "execution_count": 56,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.read_csv('phishing_site_urls.csv')\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "gycNyOJh4enO",
        "outputId": "df7a62d4-c4b1-48e6-8e2b-4096b8978c03"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "      <div>\n",
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              "\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>nobell.it/70ffb52d079109dca5664cce6f317373782/...</td>\n",
              "      <td>bad</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>serviciosbys.com/paypal.cgi.bin.get-into.herf....</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>mail.printakid.com/www.online.americanexpress....</td>\n",
              "      <td>bad</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>thewhiskeydregs.com/wp-content/themes/widescre...</td>\n",
              "      <td>bad</td>\n",
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              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-47817ece-2d36-4ddc-be97-7f4c27e2f9c2 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-47817ece-2d36-4ddc-be97-7f4c27e2f9c2');\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",
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              "        }\n",
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              "  "
            ],
            "text/plain": [
              "                                                 URL Label\n",
              "0  nobell.it/70ffb52d079109dca5664cce6f317373782/...   bad\n",
              "1  www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...   bad\n",
              "2  serviciosbys.com/paypal.cgi.bin.get-into.herf....   bad\n",
              "3  mail.printakid.com/www.online.americanexpress....   bad\n",
              "4  thewhiskeydregs.com/wp-content/themes/widescre...   bad"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jBr0s9mb41tj",
        "outputId": "28ae1633-e813-4028-de39-85c7f759e13e"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 549346 entries, 0 to 549345\n",
            "Data columns (total 2 columns):\n",
            " #   Column  Non-Null Count   Dtype \n",
            "---  ------  --------------   ----- \n",
            " 0   URL     549346 non-null  object\n",
            " 1   Label   549346 non-null  object\n",
            "dtypes: object(2)\n",
            "memory usage: 8.4+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.Label.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_6SiQhW_5eSr",
        "outputId": "0e270f08-3248-42d8-c2d3-8d4e793f166b"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "good    392924\n",
              "bad     156422\n",
              "Name: Label, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "label_count = pd.DataFrame(data.Label.value_counts())"
      ],
      "metadata": {
        "id": "pTYe5j-O5jSX"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set_style('whitegrid')\n",
        "sns.barplot(label_count.index,label_count.Label,palette=\"rocket\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "4tF4AwHj5vzu",
        "outputId": "d5575df0-5305-4bbe-96bd-26b690508443"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efd85ddda10>"
            ]
          },
          "metadata": {},
          "execution_count": 33
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer = RegexpTokenizer(r'[A-Za-z]+')"
      ],
      "metadata": {
        "id": "RWRPv1yg7V34"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer.tokenize(data.URL[10])\n",
        "tokenizer.tokenize(data.URL[20])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M8BcAT8C8pZ_",
        "outputId": "5d30e9f3-d29a-400f-fa93-9eb2c261e1dd"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['www',\n",
              " 'regaranch',\n",
              " 'info',\n",
              " 'grafika',\n",
              " 'file',\n",
              " 'atualizacao',\n",
              " 'www',\n",
              " 'itau',\n",
              " 'com',\n",
              " 'br']"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['text_tokenized'] = data.URL.map(lambda t: tokenizer.tokenize(t))\n",
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "qh8nDKnP9e2m",
        "outputId": "0e1a7b68-75ba-4f20-98a2-c020f55e3239"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-3c4ce7f6-e54d-4b9f-a68a-d91055481270\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>nobell.it/70ffb52d079109dca5664cce6f317373782/...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[nobell, it, ffb, d, dca, cce, f, login, SkyPe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[www, dghjdgf, com, paypal, co, uk, cycgi, bin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>serviciosbys.com/paypal.cgi.bin.get-into.herf....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[serviciosbys, com, paypal, cgi, bin, get, int...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>mail.printakid.com/www.online.americanexpress....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[mail, printakid, com, www, online, americanex...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>thewhiskeydregs.com/wp-content/themes/widescre...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[thewhiskeydregs, com, wp, content, themes, wi...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3c4ce7f6-e54d-4b9f-a68a-d91055481270')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "        \n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      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",
              "    [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",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-3c4ce7f6-e54d-4b9f-a68a-d91055481270 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-3c4ce7f6-e54d-4b9f-a68a-d91055481270');\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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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                 URL  ...                                     text_tokenized\n",
              "0  nobell.it/70ffb52d079109dca5664cce6f317373782/...  ...  [nobell, it, ffb, d, dca, cce, f, login, SkyPe...\n",
              "1  www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...  ...  [www, dghjdgf, com, paypal, co, uk, cycgi, bin...\n",
              "2  serviciosbys.com/paypal.cgi.bin.get-into.herf....  ...  [serviciosbys, com, paypal, cgi, bin, get, int...\n",
              "3  mail.printakid.com/www.online.americanexpress....  ...  [mail, printakid, com, www, online, americanex...\n",
              "4  thewhiskeydregs.com/wp-content/themes/widescre...  ...  [thewhiskeydregs, com, wp, content, themes, wi...\n",
              "\n",
              "[5 rows x 3 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "stemmer = SnowballStemmer(\"english\")\n",
        "data['stemmed'] = data['text_tokenized'].map(lambda l: [stemmer.stem(word) for word in l])"
      ],
      "metadata": {
        "id": "95u-aMq69t5S"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "IE6Jbb3u_Svc",
        "outputId": "adfbf303-ce57-4803-c733-4928cee2cdc5"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-01dcbc26-32fb-4c43-bba1-42bb1ffe56ad\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>stemmed</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>nobell.it/70ffb52d079109dca5664cce6f317373782/...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[nobell, it, ffb, d, dca, cce, f, login, SkyPe...</td>\n",
              "      <td>[nobel, it, ffb, d, dca, cce, f, login, skype,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[www, dghjdgf, com, paypal, co, uk, cycgi, bin...</td>\n",
              "      <td>[www, dghjdgf, com, paypal, co, uk, cycgi, bin...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>serviciosbys.com/paypal.cgi.bin.get-into.herf....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[serviciosbys, com, paypal, cgi, bin, get, int...</td>\n",
              "      <td>[serviciosbi, com, paypal, cgi, bin, get, into...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>mail.printakid.com/www.online.americanexpress....</td>\n",
              "      <td>bad</td>\n",
              "      <td>[mail, printakid, com, www, online, americanex...</td>\n",
              "      <td>[mail, printakid, com, www, onlin, americanexp...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>thewhiskeydregs.com/wp-content/themes/widescre...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[thewhiskeydregs, com, wp, content, themes, wi...</td>\n",
              "      <td>[thewhiskeydreg, com, wp, content, theme, wide...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-01dcbc26-32fb-4c43-bba1-42bb1ffe56ad')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-01dcbc26-32fb-4c43-bba1-42bb1ffe56ad 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-01dcbc26-32fb-4c43-bba1-42bb1ffe56ad');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                 URL  ...                                            stemmed\n",
              "0  nobell.it/70ffb52d079109dca5664cce6f317373782/...  ...  [nobel, it, ffb, d, dca, cce, f, login, skype,...\n",
              "1  www.dghjdgf.com/paypal.co.uk/cycgi-bin/webscrc...  ...  [www, dghjdgf, com, paypal, co, uk, cycgi, bin...\n",
              "2  serviciosbys.com/paypal.cgi.bin.get-into.herf....  ...  [serviciosbi, com, paypal, cgi, bin, get, into...\n",
              "3  mail.printakid.com/www.online.americanexpress....  ...  [mail, printakid, com, www, onlin, americanexp...\n",
              "4  thewhiskeydregs.com/wp-content/themes/widescre...  ...  [thewhiskeydreg, com, wp, content, theme, wide...\n",
              "\n",
              "[5 rows x 4 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['join_stem'] = data['stemmed'].map(lambda l: ' '.join(l))\n",
        "data.sample(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 409
        },
        "id": "uQVg0FVi_V3F",
        "outputId": "4c6b107f-2fcc-4978-b527-879e23bd17ae"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-72c5557b-020b-4307-8887-2b2f051b92bb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>stemmed</th>\n",
              "      <th>join_stem</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>166777</th>\n",
              "      <td>ds.ign.com/objects/142/14257454.html</td>\n",
              "      <td>good</td>\n",
              "      <td>[ds, ign, com, objects, html]</td>\n",
              "      <td>[ds, ign, com, object, html]</td>\n",
              "      <td>ds ign com object html</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93905</th>\n",
              "      <td>webring.com/hub?ring=rmring</td>\n",
              "      <td>good</td>\n",
              "      <td>[webring, com, hub, ring, rmring]</td>\n",
              "      <td>[webr, com, hub, ring, rmring]</td>\n",
              "      <td>webr com hub ring rmring</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62622</th>\n",
              "      <td>www.c4i.org/erehwon/</td>\n",
              "      <td>good</td>\n",
              "      <td>[www, c, i, org, erehwon]</td>\n",
              "      <td>[www, c, i, org, erehwon]</td>\n",
              "      <td>www c i org erehwon</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>447376</th>\n",
              "      <td>ticketsinventory.com/concert/men-without-hats-...</td>\n",
              "      <td>good</td>\n",
              "      <td>[ticketsinventory, com, concert, men, without,...</td>\n",
              "      <td>[ticketsinventori, com, concert, men, without,...</td>\n",
              "      <td>ticketsinventori com concert men without hat t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>408</th>\n",
              "      <td>www.indesmoineslocalarea.com/~lmafamor/www.pay...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[www, indesmoineslocalarea, com, lmafamor, www...</td>\n",
              "      <td>[www, indesmoineslocalarea, com, lmafamor, www...</td>\n",
              "      <td>www indesmoineslocalarea com lmafamor www payp...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-72c5557b-020b-4307-8887-2b2f051b92bb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-72c5557b-020b-4307-8887-2b2f051b92bb 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-72c5557b-020b-4307-8887-2b2f051b92bb');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                      URL  ...                                          join_stem\n",
              "166777               ds.ign.com/objects/142/14257454.html  ...                             ds ign com object html\n",
              "93905                         webring.com/hub?ring=rmring  ...                           webr com hub ring rmring\n",
              "62622                                www.c4i.org/erehwon/  ...                                www c i org erehwon\n",
              "447376  ticketsinventory.com/concert/men-without-hats-...  ...  ticketsinventori com concert men without hat t...\n",
              "408     www.indesmoineslocalarea.com/~lmafamor/www.pay...  ...  www indesmoineslocalarea com lmafamor www payp...\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "good_url=data[data.Label == 'good']\n",
        "bad_url=data[data.Label == 'bad']"
      ],
      "metadata": {
        "id": "Zu0blw0s_zDb"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "good_url.sample(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "pWdIbAYLAGaw",
        "outputId": "5ad905bc-73c0-4105-8971-cc3bcffde822"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-a25ccb96-a44c-44fb-9615-cda61c9868f3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>stemmed</th>\n",
              "      <th>join_stem</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>209485</th>\n",
              "      <td>lorraineogrady.com/miscegenated-family-album</td>\n",
              "      <td>good</td>\n",
              "      <td>[lorraineogrady, com, miscegenated, family, al...</td>\n",
              "      <td>[lorraineogradi, com, miscegen, famili, album]</td>\n",
              "      <td>lorraineogradi com miscegen famili album</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163405</th>\n",
              "      <td>davesgarden.com/community/forums/t/745742/</td>\n",
              "      <td>good</td>\n",
              "      <td>[davesgarden, com, community, forums, t]</td>\n",
              "      <td>[davesgarden, com, communiti, forum, t]</td>\n",
              "      <td>davesgarden com communiti forum t</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>322738</th>\n",
              "      <td>epdfsearch.com/en/pdf/+Channel+9+KCMO-.html</td>\n",
              "      <td>good</td>\n",
              "      <td>[epdfsearch, com, en, pdf, Channel, KCMO, html]</td>\n",
              "      <td>[epdfsearch, com, en, pdf, channel, kcmo, html]</td>\n",
              "      <td>epdfsearch com en pdf channel kcmo html</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>407269</th>\n",
              "      <td>nudography.com/Celebrities/melissa_galianos.aspx</td>\n",
              "      <td>good</td>\n",
              "      <td>[nudography, com, Celebrities, melissa, galian...</td>\n",
              "      <td>[nudographi, com, celebr, melissa, galiano, aspx]</td>\n",
              "      <td>nudographi com celebr melissa galiano aspx</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>435681</th>\n",
              "      <td>spoke.com/info/p65ueoX/PhillipTalboy</td>\n",
              "      <td>good</td>\n",
              "      <td>[spoke, com, info, p, ueoX, PhillipTalboy]</td>\n",
              "      <td>[spoke, com, info, p, ueox, philliptalboy]</td>\n",
              "      <td>spoke com info p ueox philliptalboy</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a25ccb96-a44c-44fb-9615-cda61c9868f3')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-a25ccb96-a44c-44fb-9615-cda61c9868f3 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-a25ccb96-a44c-44fb-9615-cda61c9868f3');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                     URL  ...                                   join_stem\n",
              "209485      lorraineogrady.com/miscegenated-family-album  ...    lorraineogradi com miscegen famili album\n",
              "163405        davesgarden.com/community/forums/t/745742/  ...           davesgarden com communiti forum t\n",
              "322738       epdfsearch.com/en/pdf/+Channel+9+KCMO-.html  ...     epdfsearch com en pdf channel kcmo html\n",
              "407269  nudography.com/Celebrities/melissa_galianos.aspx  ...  nudographi com celebr melissa galiano aspx\n",
              "435681              spoke.com/info/p65ueoX/PhillipTalboy  ...         spoke com info p ueox philliptalboy\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bad_url.sample(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        },
        "id": "_VW-gu7YAL1f",
        "outputId": "ca27d486-a520-4760-af5f-48ed3fd64691"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-3df8b5fd-5940-45e6-9a74-eec393217c3b\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>URL</th>\n",
              "      <th>Label</th>\n",
              "      <th>text_tokenized</th>\n",
              "      <th>stemmed</th>\n",
              "      <th>join_stem</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>101150</th>\n",
              "      <td>living4u.80port.net/zb/doc/file.index.htm/rema...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[living, u, port, net, zb, doc, file, index, h...</td>\n",
              "      <td>[live, u, port, net, zb, doc, file, index, htm...</td>\n",
              "      <td>live u port net zb doc file index htm remax se...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>111358</th>\n",
              "      <td>creativecakescolorado.com/images/pay/98cfd1d55...</td>\n",
              "      <td>bad</td>\n",
              "      <td>[creativecakescolorado, com, images, pay, cfd,...</td>\n",
              "      <td>[creativecakescolorado, com, imag, pay, cfd, d...</td>\n",
              "      <td>creativecakescolorado com imag pay cfd d ecff ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9051</th>\n",
              "      <td>pastehtml.com/view/bdw1f6g8x.html</td>\n",
              "      <td>bad</td>\n",
              "      <td>[pastehtml, com, view, bdw, f, g, x, html]</td>\n",
              "      <td>[pastehtml, com, view, bdw, f, g, x, html]</td>\n",
              "      <td>pastehtml com view bdw f g x html</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495915</th>\n",
              "      <td>laleven.com/ZjW5tf</td>\n",
              "      <td>bad</td>\n",
              "      <td>[laleven, com, ZjW, tf]</td>\n",
              "      <td>[laleven, com, zjw, tf]</td>\n",
              "      <td>laleven com zjw tf</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>98255</th>\n",
              "      <td>103.234.36.75/rd927.exe</td>\n",
              "      <td>bad</td>\n",
              "      <td>[rd, exe]</td>\n",
              "      <td>[rd, exe]</td>\n",
              "      <td>rd exe</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3df8b5fd-5940-45e6-9a74-eec393217c3b')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-3df8b5fd-5940-45e6-9a74-eec393217c3b 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-3df8b5fd-5940-45e6-9a74-eec393217c3b');\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",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                                      URL  ...                                          join_stem\n",
              "101150  living4u.80port.net/zb/doc/file.index.htm/rema...  ...  live u port net zb doc file index htm remax se...\n",
              "111358  creativecakescolorado.com/images/pay/98cfd1d55...  ...  creativecakescolorado com imag pay cfd d ecff ...\n",
              "9051                    pastehtml.com/view/bdw1f6g8x.html  ...                  pastehtml com view bdw f g x html\n",
              "495915                                 laleven.com/ZjW5tf  ...                                 laleven com zjw tf\n",
              "98255                             103.234.36.75/rd927.exe  ...                                             rd exe\n",
              "\n",
              "[5 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cv = CountVectorizer()\n",
        "tokens = cv.fit_transform(data.join_stem)\n",
        "trainX, testX, trainY, testY = train_test_split(tokens, data.Label, test_size=0.2)"
      ],
      "metadata": {
        "id": "attwhUWtAPd0"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "lr = LogisticRegression()\n",
        "lr.fit(trainX,trainY)\n",
        "lr.score(testX,testY)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "I70qMvMfD85Y",
        "outputId": "fa740051-0917-48c3-88ac-dc03e4360d83"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9655046873577865"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "confusion_mat = pd.DataFrame(confusion_matrix(lr.predict(testX), testY),\n",
        "            columns = ['Predicted:Bad', 'Predicted:Good'],\n",
        "            index = ['Actual:Bad', 'Actual:Good'])"
      ],
      "metadata": {
        "id": "vw_nwUYuEI91"
      },
      "execution_count": 55,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize= (6,4))\n",
        "sns.heatmap(confusion_mat, annot = True,fmt='d')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        },
        "id": "BOU7M8LQEgZv",
        "outputId": "6ae73a75-2dc7-47a4-a5e8-bc344924a52d"
      },
      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7efd546b38d0>"
            ]
          },
          "metadata": {},
          "execution_count": 58
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "url=['seaborn.pydata.org/examples/spreadsheet_heatmap.html','https://www.youtube.com/watch?v=J5bXOOmkopc&list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=9']\n",
        "url=cv.transform(url)\n",
        "lr.predict(url)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2JpEQtWyFBVx",
        "outputId": "05c2a735-0abe-46d1-92aa-14c915ce9a43"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['good', 'good'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    }
  ]
}