{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Importing required Liberies"
      ],
      "metadata": {
        "id": "LoA5wc0mOrlF"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q5joF4-cNbHs",
        "outputId": "263d593c-fcdd-4341-b678-19289d3c422f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import re\n",
        "import string\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from wordcloud import WordCloud\n",
        "nltk.download('stopwords')\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score, classification_report, confusion_matrix, roc_curve, auc\n",
        "from sklearn.svm import LinearSVC, SVC\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import precision_score, recall_score, f1_score"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Loading dataset"
      ],
      "metadata": {
        "id": "6hQBWM-AOgJV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#  Using latin1\n",
        "Phishing_data = pd.read_csv(\"/content/CEAS_08.csv\", encoding='latin1')\n",
        "Phishing_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 655
        },
        "id": "mJCvJFcPOSiO",
        "outputId": "78154a5f-ce71-4823-c838-652ecb384a73"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-2393891747.py:2: DtypeWarning: Columns (1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419,420,421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459,460,461,462,463,464,465,466,467,468,469,470,471,472,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540,541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570,571,572,573,574,575,576,577,578,579,580,581,582,583,584,585,586,587,588,591,592,593,596,597,598,601,602,603,604,605,606,607,608,609,610,611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651,652,653,654,655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,686,687,693,694,695,696,697,698,699,700,701,702,703,704,705,706,707,708,713,714,719,720,725,726,731,732,737,738,743,744,749,750,755,756,757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794) have mixed types. Specify dtype option on import or set low_memory=False.\n",
            "  Phishing_data = pd.read_csv(\"/content/CEAS_08.csv\", encoding='latin1')\n"
          ]
        },
        {
          "output_type": "execute_result",
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              "                                              sender  \\\n",
              "0                   Young Esposito <Young@iworld.de>   \n",
              "1                       Mok <ipline's1983@icable.ph>   \n",
              "2  Daily Top 10 <Karmandeep-opengevl@universalnet...   \n",
              "3                 Michael Parker <ivqrnai@pobox.com>   \n",
              "4  Gretchen Suggs <externalsep1@loanofficertool.com>   \n",
              "\n",
              "                                         receiver  \\\n",
              "0                     user4@gvc.ceas-challenge.cc   \n",
              "1                   user2.2@gvc.ceas-challenge.cc   \n",
              "2                   user2.9@gvc.ceas-challenge.cc   \n",
              "3  SpamAssassin Dev <xrh@spamassassin.apache.org>   \n",
              "4                   user2.2@gvc.ceas-challenge.cc   \n",
              "\n",
              "                              date  \\\n",
              "0  Tue, 05 Aug 2008 16:31:02 -0700   \n",
              "1  Tue, 05 Aug 2008 18:31:03 -0500   \n",
              "2  Tue, 05 Aug 2008 20:28:00 -1200   \n",
              "3  Tue, 05 Aug 2008 17:31:20 -0600   \n",
              "4  Tue, 05 Aug 2008 19:31:21 -0400   \n",
              "\n",
              "                                             subject  \\\n",
              "0                          Never agree to be a loser   \n",
              "1                             Befriend Jenna Jameson   \n",
              "2                               CNN.com Daily Top 10   \n",
              "3  Re: svn commit: r619753 - in /spamassassin/tru...   \n",
              "4                         SpecialPricesPharmMoreinfo   \n",
              "\n",
              "                                                body label urls Unnamed: 7  \\\n",
              "0  Buck up, your troubles caused by small dimensi...   1.0  1.0        NaN   \n",
              "1  \\nUpgrade your sex and pleasures with these te...   1.0  1.0        NaN   \n",
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              "      <td>Mok &lt;ipline's1983@icable.ph&gt;</td>\n",
              "      <td>user2.2@gvc.ceas-challenge.cc</td>\n",
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              "      <td>user2.9@gvc.ceas-challenge.cc</td>\n",
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              "      <td>CNN.com Daily Top 10</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
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              "      --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",
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              "    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",
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              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
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              "    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",
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              "                '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-f5a72fa3-83d6-4067-bf9b-ff0188e981eb button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "Phishing_data"
            }
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Checking data information"
      ],
      "metadata": {
        "id": "jUiZAXRfxkj5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UpgD2Xg_OmI9",
        "outputId": "8b8d33fc-1b8e-44ab-d069-ac6db438df75"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 81602 entries, 0 to 81601\n",
            "Columns: 797 entries, sender to Unnamed: 796\n",
            "dtypes: float64(50), object(747)\n",
            "memory usage: 496.2+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Checking missing values"
      ],
      "metadata": {
        "id": "V08D8FUoP-zT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "id": "_W3mSC0qO2nE",
        "outputId": "d5163cf5-aec3-46d1-80d3-dbfdfb04f01f"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sender          12818\n",
              "receiver        40238\n",
              "date            41707\n",
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              "                ...  \n",
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              "<p>797 rows × 1 columns</p>\n",
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          "metadata": {},
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    },
    {
      "cell_type": "markdown",
      "source": [
        "# Checking missing values and removing Unnamed columns"
      ],
      "metadata": {
        "id": "dW3CV1670f_r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data = Phishing_data.loc[:, ~Phishing_data.columns.str.contains('^Unnamed')]\n",
        "Phishing_data.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
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        "id": "4D-bmO8_0Kyt",
        "outputId": "50d270a9-974d-4fbf-ff18-e62e12e36cc7"
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      "execution_count": 53,
      "outputs": [
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          "output_type": "execute_result",
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            "text/plain": [
              "sender      12818\n",
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    {
      "cell_type": "markdown",
      "source": [
        "# Handeling missing values"
      ],
      "metadata": {
        "id": "mBt_uJrqQFnD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Separating numeric and categorical columns\n",
        "numeric_cols = Phishing_data.select_dtypes(include=['float64']).columns\n",
        "categorical_cols = Phishing_data.select_dtypes(include=['object']).columns\n",
        "\n",
        "# Filling missing values in numeric columns with mean\n",
        "for col in numeric_cols:\n",
        "    Phishing_data[col].fillna(Phishing_data[col].mean(), inplace=True)\n",
        "\n",
        "# Filling missing values in categorical columns with mode\n",
        "for col in categorical_cols:\n",
        "    Phishing_data[col].fillna(Phishing_data[col].mode()[0], inplace=True)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d1oSjEgpPL-j",
        "outputId": "e9196307-dfb5-47b4-be71-da23ef993b59"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-1985349599.py:11: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n",
            "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n",
            "\n",
            "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n",
            "\n",
            "\n",
            "  Phishing_data[col].fillna(Phishing_data[col].mode()[0], inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Checking missing values after handeling"
      ],
      "metadata": {
        "id": "CIUMNWUaQUY6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Verifying missing values are handled\n",
        "Phishing_data.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 304
        },
        "id": "ViZ88OThQOtc",
        "outputId": "da8a9a1a-fde3-45ff-af2a-66def714e25e"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "sender      0\n",
              "receiver    0\n",
              "date        0\n",
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              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
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          },
          "metadata": {},
          "execution_count": 55
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# checking duplicate values"
      ],
      "metadata": {
        "id": "4K5GXT7rQ5Dp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5w1mPVg5QQQq",
        "outputId": "c44b4c1d-29da-4652-9144-547f3c56f029"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(28776)"
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Handeling duplicate values"
      ],
      "metadata": {
        "id": "90Wm_BQESD1C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Removing duplicate rows\n",
        "Phishing_data = Phishing_data.drop_duplicates()"
      ],
      "metadata": {
        "id": "Ebyo-q0tQ7QK"
      },
      "execution_count": 57,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LDlgf6ilRQXK",
        "outputId": "fe7ab67e-f5ea-46c4-aa30-36573ca87a91"
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      "execution_count": 58,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "np.int64(0)"
            ]
          },
          "metadata": {},
          "execution_count": 58
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "Phishing_data.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 293
        },
        "id": "Uh3ujkqK8bPZ",
        "outputId": "ca15e152-fd9b-47e4-b59a-b09ef4a5be6f"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              sender  \\\n",
              "0                   Young Esposito <Young@iworld.de>   \n",
              "1                       Mok <ipline's1983@icable.ph>   \n",
              "2  Daily Top 10 <Karmandeep-opengevl@universalnet...   \n",
              "3                 Michael Parker <ivqrnai@pobox.com>   \n",
              "4  Gretchen Suggs <externalsep1@loanofficertool.com>   \n",
              "\n",
              "                                         receiver  \\\n",
              "0                     user4@gvc.ceas-challenge.cc   \n",
              "1                   user2.2@gvc.ceas-challenge.cc   \n",
              "2                   user2.9@gvc.ceas-challenge.cc   \n",
              "3  SpamAssassin Dev <xrh@spamassassin.apache.org>   \n",
              "4                   user2.2@gvc.ceas-challenge.cc   \n",
              "\n",
              "                              date  \\\n",
              "0  Tue, 05 Aug 2008 16:31:02 -0700   \n",
              "1  Tue, 05 Aug 2008 18:31:03 -0500   \n",
              "2  Tue, 05 Aug 2008 20:28:00 -1200   \n",
              "3  Tue, 05 Aug 2008 17:31:20 -0600   \n",
              "4  Tue, 05 Aug 2008 19:31:21 -0400   \n",
              "\n",
              "                                             subject  \\\n",
              "0                          Never agree to be a loser   \n",
              "1                             Befriend Jenna Jameson   \n",
              "2                               CNN.com Daily Top 10   \n",
              "3  Re: svn commit: r619753 - in /spamassassin/tru...   \n",
              "4                         SpecialPricesPharmMoreinfo   \n",
              "\n",
              "                                                body label urls  \n",
              "0  Buck up, your troubles caused by small dimensi...   1.0  1.0  \n",
              "1  \\nUpgrade your sex and pleasures with these te...   1.0  1.0  \n",
              "2  >+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+...   1.0  1.0  \n",
              "3  Would anyone object to removing .so from this ...   0.0  1.0  \n",
              "4  \\nWelcomeFastShippingCustomerSupport\\nhttp://7...   1.0  1.0  "
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              "      <th>date</th>\n",
              "      <th>subject</th>\n",
              "      <th>body</th>\n",
              "      <th>label</th>\n",
              "      <th>urls</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Young Esposito &lt;Young@iworld.de&gt;</td>\n",
              "      <td>user4@gvc.ceas-challenge.cc</td>\n",
              "      <td>Tue, 05 Aug 2008 16:31:02 -0700</td>\n",
              "      <td>Never agree to be a loser</td>\n",
              "      <td>Buck up, your troubles caused by small dimensi...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Mok &lt;ipline's1983@icable.ph&gt;</td>\n",
              "      <td>user2.2@gvc.ceas-challenge.cc</td>\n",
              "      <td>Tue, 05 Aug 2008 18:31:03 -0500</td>\n",
              "      <td>Befriend Jenna Jameson</td>\n",
              "      <td>\\nUpgrade your sex and pleasures with these te...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Daily Top 10 &lt;Karmandeep-opengevl@universalnet...</td>\n",
              "      <td>user2.9@gvc.ceas-challenge.cc</td>\n",
              "      <td>Tue, 05 Aug 2008 20:28:00 -1200</td>\n",
              "      <td>CNN.com Daily Top 10</td>\n",
              "      <td>&gt;+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Michael Parker &lt;ivqrnai@pobox.com&gt;</td>\n",
              "      <td>SpamAssassin Dev &lt;xrh@spamassassin.apache.org&gt;</td>\n",
              "      <td>Tue, 05 Aug 2008 17:31:20 -0600</td>\n",
              "      <td>Re: svn commit: r619753 - in /spamassassin/tru...</td>\n",
              "      <td>Would anyone object to removing .so from this ...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Gretchen Suggs &lt;externalsep1@loanofficertool.com&gt;</td>\n",
              "      <td>user2.2@gvc.ceas-challenge.cc</td>\n",
              "      <td>Tue, 05 Aug 2008 19:31:21 -0400</td>\n",
              "      <td>SpecialPricesPharmMoreinfo</td>\n",
              "      <td>\\nWelcomeFastShippingCustomerSupport\\nhttp://7...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</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-36e310e9-fce1-495f-b54b-8e0ce836fb81')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </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-36e310e9-fce1-495f-b54b-8e0ce836fb81 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-36e310e9-fce1-495f-b54b-8e0ce836fb81');\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-eec70066-f96e-4bba-9800-b739ae5a866f\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-eec70066-f96e-4bba-9800-b739ae5a866f')\"\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-eec70066-f96e-4bba-9800-b739ae5a866f button');\n",
              "          quickchartButtonEl.style.display =\n",
              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "        })();\n",
              "      </script>\n",
              "    </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "Phishing_data",
              "summary": "{\n  \"name\": \"Phishing_data\",\n  \"rows\": 52826,\n  \"fields\": [\n    {\n      \"column\": \"sender\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 38258,\n        \"samples\": [\n          \"Alan Vazquez <msuphill@b-ok.co.uk>\",\n          \"Submission-ID: 2426053\",\n          \"Russell Turpin <auauifn@hotmail.com>\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"receiver\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5502,\n        \"samples\": [\n          \" depending on the latest thinking. (One \",\n          \"Rafael Garcia-Suarez <pvhuhqgncrxnu@gmail.com>, Perl5 Porters <qtog3-epoawmh@perl.org>\",\n          \" what are your thoughts on purchasing a refurbished or \\\"\\\"recertified\\\"\\\" computer\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 39118,\n        \"samples\": [\n          \"Thu, 07 Aug 2008 19:42:27 +0530\",\n          \"Wed, 06 Aug 2008 10:13:50 -0500\",\n          \"Wed, 06 Aug 2008 04:36:26 +0200\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15757,\n        \"samples\": [\n          \"[UAI] CFP for Computational Biology Special Session at KES 2005 (Melbourne, Australia, 14-16 September 2005)\",\n          \"i ching\",\n          \"From Rico Bentley\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"body\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 39030,\n        \"samples\": [\n          \"An apple a day keeps the doctor away, a pill a day keeps your pecker stronger and gay. http://www.fiftyscore.com/\",\n          \" \\nnews.admin.net-abuse.email\\nhttp://groups.google.com/group/news.admin.net-abuse.email?hl=en\\n\\nToday's most active topics:\\n\\n* Lot of Activity for Haberstroh/Atriks - 9 new\\n  http://groups.google.com/group/news.admin.net-abuse.email/t/8cacc248ae8ed25b?hl=en\\n* WTC Towers: The case for controlled demolition - 9 new\\n  http://groups.google.com/group/news.admin.net-abuse.email/t/eca5b463611528f3?hl=en\\n* Canadian Pharmacy now spamming Google Pagead - 4 new\\n  http://groups.google.com/group/news.admin.net-abuse.email/t/99cc5a36995920b3?hl=en\\n* Tokyo Medical NetBook Health Research and Training - 2 new\\n  http://groups.google.com/group/news.admin.net-abuse.email/t/af5d4355b8517865?hl=en\\n* On surfboard - 2 new\\n  http://groups.google.com/group/news.admin.net-abuse.email/t/6d08344c2a0fb4ad?hl=en\\n\\n\\n\\n\\nActive Topics\\n-------------\\n\\nLot of Activity for Haberstroh/Atriks - 9 new\\n---------------------------------------------\\n.Haberstroh's ROKSO record is gone too. - Sat, Feb 9 2008 1:06 am \\n9 messages , 8 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/8cacc248ae8ed25b?hl=en\\n\\n\\nConsumerist: Direct Marketing Association Lies About Telemarketers' \\nContribution To Economy - 1 new\\n-------------------------------\\n....and when they retire, the prison or undertaking industries. Dave - Sat, \\nFeb 9 2008 1:50 am \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/0966a31246462a5e?hl=en\\n\\n\\nTokyo Medical NetBook Health Research and Training - 2 new\\n----------------------------------------------------------\\nEducation Statute 'Satisfactorily on suggestions for new entries and prominent\\npreferences and pointing out performances that I have previously overlooked. \\nAll of these have duly been taken into account and, together with the revised \\nand updated entries, plus the new additions which take the book right up to \\n2008/09, make Red Carpet Ready, - Sat, Feb 9 2008 3:55 am \\n2 messages , 2 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/af5d4355b8517865?hl=en\\n\\n\\nWTC Towers: The case for controlled demolition - 9 new\\n------------------------------------------------------\\nWTC Towers: The case for controlled demolition By Herman Schoenfeld In this \\narticle we show that \\\"top-down\\\" controlled demolition accurately accounts for \\nthe collapse times of the World Trade Center towers. A top-down controlled \\ndemolition can be simply characterized as a \\\"pancake collapse\\\" of a building \\nmissing its support columns. - Sat, Feb 9 2008 5:41 am \\n9 messages , 8 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/eca5b463611528f3?hl=en\\n\\n\\nOn surfboard - 2 new\\n--------------------\\n[link] - Sat, Feb 9 2008 8:15 am \\n2 messages , 2 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/6d08344c2a0fb4ad?hl=en\\n\\n\\nWhat happened at Verizon? - 1 new\\n---------------------------------\\n.ISTR that UUNET hosted a DDOS against Spamhaus for several MONTHS. That \\ngoes pretty far beyond even willful ignorance, as there is little question \\nthat UUNET management knew about it. - Sat, Feb 9 2008 11:31 am \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/e6f01a8833e1b5df?hl=en\\n\\n\\nCanadian Pharmacy now spamming Google Pagead - 4 new\\n----------------------------------------------------\\n[link] plus the domain of the spamvertised site Does this mean the spammer is \\nnow paying for click-through advertising? Does Google charge them per click by\\nIP address, or by cookies? This is NOT a joe job to run up an innocent \\nbystander's advertising costs. The click-through is to an illegal online \\npharmacy that makes - Sat, Feb 9 2008 1:36 pm \\n4 messages , 4 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/99cc5a36995920b3?hl=en\\n\\n\\nAffiliate - 1 new\\n-----------------\\nbullockp8b...@gmail.com wrote on 08. February 2008: ...Forwards to the \\nclickbank spammer again. - Sat, Feb 9 2008 4:45 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/e89801284713183b?hl=en\\n\\n\\nwww.shopbb.com from china Wholesale Footwear, Apparel,Bag,NFL Jersey,,mobile \\nphones,shop.Best Service,Best Pruce,Best Items - 1 new\\n------------------------------------------------------\\n([link]) China Shoes wholesaler [link] .wholesale Shoes Nike Gucci Prada \\nJordans Nike Shoes, Puma Shoes Wholesale, Free Nike, Custom Timberland, Custom\\nSneakers, Custom Shoez, Air Jordan Supplier, Nike Shoes, Nike Supplier, Air \\nJordan China Basketball,Football,Boots,Men' s,Womens at [link] - Sat, Feb 9 \\n2008 7:57 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/628a6c2bee543cc2?hl=en\\n\\n\\non line business : - 1 new\\n--------------------------\\nFailed spam, the hacked blog has been restored to its original, unrelated \\ncontent. - Sat, Feb 9 2008 8:31 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/9229cd9cd53649cd?hl=en\\n\\n\\nHow are messages that I didn't post being posted as if from me? - 1 new\\n-----------------------------------------------------------------------\\n.So you're saying that the Web is full of evidence that you are a sycophant.\\nI don't crave a whole history or biography of your foibles. It was a very \\nstraightforward question. If someone at work (sorry to be presumptuous) asks \\nyou \\\"what time is it\\\" do you tell them to go look on their computer monitor or\\ncellphone, or are you able to muster - Sat, Feb 9 2008 8:39 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/9fd75f84a5887c96?hl=en\\n\\n\\nTokyo NetBook Institute of Economics and Business Entrepreneurship Training \\nPrograms - 1 new\\n----------------\\nAnother LART is on its way to Clickbank, third spam for this site in three \\ndays. Will definitely be shut down now. - Sat, Feb 9 2008 8:40 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/de828c8a46480806?hl=en\\n\\n\\nMy name is Richard... but you can call me NetKKKop and Censor - 1 new\\n---------------------------------------------------------------------\\n.\\\"this account has been banned....\\\" poor scumvile. forever labelled a \\nnutcase and no good for business. - Sat, Feb 9 2008 9:10 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/fb11b10e8f196c6b?hl=en\\n\\n\\n* * Youtube Video - EDC vs. TY Coughlin - 2 new\\n-----------------------------------------------\\nI'm playing around with Flash animation and trying to poke fun at Ty Coughlin -\\n the surf-dude Internet marketer. [link] Post a comment if you like it! - Rich\\n[link] - Sat, Feb 9 2008 10:56 pm \\n2 messages , 2 authors\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/fd63580fdbc3ee6d?hl=en\\n\\n\\n2008-02-10: US 28.5%, AS33314 (US) 7.0%, 125.108.0.0/14 (CN:AS4134) 6.0% - 1 \\nnew\\n---\\nIt is another *presentation format* with added per country and ASN summaries \\nof data published at [link] * ASN info: asn.routeviews.org [link] * Country \\ninfo: zz.countries.nerd.dk [link] Top 200 targets of spamcop.net spam reports -\\n Sat, Feb 9 2008 11:23 pm \\n1 message, 1 author\\nhttp://groups.google.com/group/news.admin.net-abuse.email/t/d7bcc561eaa2e340?hl=en\\n\\n\\n\\n==============================================================================\\n\\nYou received this message because you are subscribed to the Google\\nGroups \\\"news.admin.net-abuse.email\\\" group.\\n\\nTo post to this group, send email to news.admin.net-abuse.email@googlegroups.\\ncom or\\nvisit http://groups.google.com/group/news.admin.net-abuse.email?hl=en\\n\\nTo unsubscribe from this group, send email to\\nymfa.rysug.mtb-mwzsy.mfary-sugmtbmwzsy@googlegroups.com\\n\\nTo change the way you get mail from this group, visit:\\nhttp://groups.google.com/group/news.admin.net-abuse.email/subscribe?hl=en\\n\\nTo report abuse, send email explaining the problem to gqsgh@googlegroups.com\\n\\n==============================================================================\\nGoogle Groups: http://groups.google.com?hl=en\\n\\n\\n\",\n          \"Wolfgang Woehl wrote:\\n> Freitag, 8. Februar 2008 Sloan:\\n>> Wolfgang Woehl wrote:\\n>>> \\\"I'm a linux user, I click on anything i feel like\\\" sounds\\n>>> intelligent to you? Get out of here :)\\n>> I'm not overly concerned with sounding intelligent, but do please\\n>> provide a link that you have think would be dangerous for me, as a\\n>> linux user, to click on. Please.\\n> \\n> Sloan, I was referring to an attitude that is potentially dangerous. \\n> Not to current incidents, allright? Did you actually read this \\n> thread?\\n\\nDo you actually understand how silly you sound to anyone\\nwho actually understands the Unix and Linux security model.\\n\\n> \\n> Wolfgang\\n\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 137,\n        \"samples\": [\n          \" pattern recognition\",\n          \" Modem\",\n          \" click here. http://your.hp.com/r/c/r?2.1.3KT.2ZQ.z%5fmPw.Bxwu12..N.DFyq.1JI%5f.LaQEee00 HP is committed to respecting your privacy. For specific guidelines\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"urls\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 107,\n        \"samples\": [\n          \" file storage\",\n          \" a *conceptual* bug anyway\",\n          \" cross\\u0013platform plug\\u0013in for delivering the next generation of .NET\\u0013based media experiences and rich interactive applications for the Web. Learn how this technology is enabling a new world of media experiences.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploratory Data Analysis"
      ],
      "metadata": {
        "id": "qVqJATz4TUF3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Descriptive Statistics"
      ],
      "metadata": {
        "id": "aFbi3P7yTXNW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "FlPIAkXxSCYI",
        "outputId": "19b42d9b-1dc4-40bb-d477-e9724200cab1"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                   sender                     receiver  \\\n",
              "count                               52826                        52826   \n",
              "unique                              38258                         5502   \n",
              "top     qydlqcws-iacfym@issues.apache.org  user6@gvc.ceas-challenge.cc   \n",
              "freq                                  460                        13301   \n",
              "\n",
              "                date               subject   body  label   urls  \n",
              "count          52826                 52826  52826  52826  52826  \n",
              "unique         39118                 15757  39030    137    107  \n",
              "top      filesystems  CNN.com Daily Top 10      1      1      1  \n",
              "freq           13108                 16361  13585  31706  33815  "
            ],
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              "      <td>qydlqcws-iacfym@issues.apache.org</td>\n",
              "      <td>user6@gvc.ceas-challenge.cc</td>\n",
              "      <td>filesystems</td>\n",
              "      <td>CNN.com Daily Top 10</td>\n",
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              "        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",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "    }\n",
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              "      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",
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              "            google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"Phishing_data\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"sender\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          38258,\n          \"460\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"receiver\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          5502,\n          \"13301\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"date\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          39118,\n          \"13108\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"subject\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          15757,\n          \"16361\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"body\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          39030,\n          \"13585\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"label\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          137,\n          \"31706\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"urls\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          107,\n          \"33815\",\n          \"52826\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Visualizations"
      ],
      "metadata": {
        "id": "3QcVYVTT9FCZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.set(style=\"whitegrid\")\n",
        "plt.rcParams['figure.figsize'] = (10, 6)"
      ],
      "metadata": {
        "id": "ikxBH7b6UYSl"
      },
      "execution_count": 61,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Showing 10 Most Frequent Senders using barplot"
      ],
      "metadata": {
        "id": "kv-QDFvp0yB7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Bar ploting - Top 10 senders\n",
        "top_senders = Phishing_data['sender'].value_counts().head(10)\n",
        "\n",
        "plt.figure(figsize=(10,6))\n",
        "ax = sns.barplot(x=top_senders.values, y=top_senders.index, palette=\"viridis\")\n",
        "\n",
        "# Adding value labels on bars\n",
        "for i, v in enumerate(top_senders.values):\n",
        "    plt.text(v + 0.5, i, str(v), color='black', va='center', fontsize=10)\n",
        "\n",
        "plt.title(\"Top 10 Most Frequent Senders\")\n",
        "plt.xlabel(\"Count\")\n",
        "plt.ylabel(\"Sender\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 660
        },
        "id": "Nc3S6GvPTZaH",
        "outputId": "a54a0922-820e-469d-d4ec-dcc653a87583"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-1465338550.py:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  ax = sns.barplot(x=top_senders.values, y=top_senders.index, palette=\"viridis\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pie Chart of Emails Containing URLs"
      ],
      "metadata": {
        "id": "nUOUtS2w09y7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data['has_urls'] = Phishing_data['urls'].apply(lambda x: 1 if isinstance(x, str) and len(x.strip()) > 0 else 0)\n",
        "url_counts = Phishing_data['has_urls'].value_counts()\n",
        "\n",
        "plt.figure(figsize=(7,7))\n",
        "plt.pie(url_counts.values,\n",
        "        labels=['No URLs', 'Has URLs'],\n",
        "        autopct='%1.1f%%',\n",
        "        startangle=140,\n",
        "        colors=sns.color_palette(\"pastel\"),\n",
        "        wedgeprops={'edgecolor': 'white'})\n",
        "\n",
        "plt.title(\"Distribution of Emails Containing URLs\", fontsize=14)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 599
        },
        "id": "6RtYlEWPrHxp",
        "outputId": "ee757cfc-bdae-4a80-cd0d-18100ae69431"
      },
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 700x700 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Showing Average Feature Values Across Emails using line plot"
      ],
      "metadata": {
        "id": "xGa3bizpaQIc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "avg_features = Phishing_data[['body_length', 'subject_length', 'urls_count']].mean()\n",
        "\n",
        "plt.figure(figsize=(8,5))\n",
        "plt.plot(avg_features.index, avg_features.values, marker='o', color='teal', linewidth=2)\n",
        "\n",
        "# Add value labels\n",
        "for i, v in enumerate(avg_features.values):\n",
        "    plt.text(i, v + 2, f\"{v:.1f}\", ha='center', fontsize=10, color='black')\n",
        "\n",
        "plt.title(\"Average Feature Values Across Emails\", fontsize=14)\n",
        "plt.xlabel(\"Feature\")\n",
        "plt.ylabel(\"Average Value\")\n",
        "plt.grid(True, linestyle='--', alpha=0.6)\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "CnnO1zGkY-6O",
        "outputId": "9f6199a3-a05e-4c5c-f270-9c315b104cda"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#"
      ],
      "metadata": {
        "id": "mCP2NMeE1EPj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Showing Distribution of Email Body Length using histrogram"
      ],
      "metadata": {
        "id": "SBl355wm1tmx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating a new feature: body length\n",
        "Phishing_data['body_length'] = Phishing_data['body'].apply(lambda x: len(str(x)))\n",
        "\n",
        "plt.hist(Phishing_data['body_length'], bins=40, color='skyblue')\n",
        "plt.title(\"Distribution of Email Body Length\")\n",
        "plt.xlabel(\"Body Length (characters)\")\n",
        "plt.ylabel(\"Frequency\")\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "zvW7l0HFUi7F",
        "outputId": "2b3d0962-205b-4de5-e6c0-f15f60f0106e"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Correlation Matrix"
      ],
      "metadata": {
        "id": "Ls3Kdys4BzmK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Phishing_data['body_length'] = Phishing_data['body'].astype(str).apply(len)\n",
        "\n",
        "\n",
        "le = LabelEncoder()\n",
        "Phishing_data['sender_encoded'] = le.fit_transform(Phishing_data['sender'].astype(str))\n",
        "Phishing_data['receiver_encoded'] = le.fit_transform(Phishing_data['receiver'].astype(str))\n",
        "Phishing_data['subject_length'] = Phishing_data['subject'].astype(str).apply(len)\n",
        "Phishing_data['urls_count'] = Phishing_data['urls'].astype(str).apply(lambda x: len(x.split()) if x.strip() else 0)\n",
        "\n",
        "\n",
        "Phishing_data['label_encoded'] = le.fit_transform(Phishing_data['label'].astype(str))\n",
        "\n",
        "corr_features = ['body_length', 'subject_length', 'urls_count', 'sender_encoded', 'receiver_encoded', 'label_encoded']\n",
        "corr_matrix = Phishing_data[corr_features].corr()\n",
        "\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "sns.heatmap(corr_matrix, annot=True, fmt=\".2f\", cmap=\"coolwarm\", linewidths=0.5)\n",
        "plt.title(\"Correlation Matrix \", fontsize=14)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 671
        },
        "id": "smMbhzMHAyZ0",
        "outputId": "ee4a65de-300b-493a-8b85-28b72ff0088d"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# NLP"
      ],
      "metadata": {
        "id": "wGTfH05990OQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "stop_words = set(stopwords.words('english'))\n",
        "\n",
        "# Texting cleaning function\n",
        "def clean_text(text):\n",
        "    if not isinstance(text, str):\n",
        "        return \"\"\n",
        "    text = text.lower()\n",
        "    text = re.sub(r'<.*?>', '', text)                      # removing HTML\n",
        "    text = re.sub(r'http\\S+|www.\\S+', '', text)            # removing URLs\n",
        "    text = text.translate(str.maketrans('', '', string.punctuation))  # remove punctuation\n",
        "    text = re.sub(r'\\d+', '', text)                        # remove numbers\n",
        "    text = \" \".join([word for word in text.split() if word not in stop_words])\n",
        "    return text\n",
        "\n",
        "# Applying cleaning\n",
        "Phishing_data['clean_subject'] = Phishing_data['subject'].apply(clean_text)\n",
        "Phishing_data['clean_body'] = Phishing_data['body'].apply(clean_text)\n",
        "\n",
        "#  Creating full_text again (important)\n",
        "Phishing_data['full_text'] = Phishing_data['clean_subject'] + \" \" + Phishing_data['clean_body']\n"
      ],
      "metadata": {
        "id": "C1oO_Q8V7brb"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Ensure label column exists and is string type\n",
        "Phishing_data['label'] = Phishing_data['label'].astype(str)\n",
        "\n",
        "# Recreating label_encoded column\n",
        "label_encoder = LabelEncoder()\n",
        "Phishing_data['label_encoded'] = label_encoder.fit_transform(Phishing_data['label'])\n",
        "\n",
        "# Separating positive (ham) and negative (phishing) texts\n",
        "positive_text = \" \".join(\n",
        "    Phishing_data[Phishing_data['label_encoded'] == 0]['full_text'].astype(str).tolist()\n",
        ")\n",
        "\n",
        "negative_text = \" \".join(\n",
        "    Phishing_data[Phishing_data['label_encoded'] == 1]['full_text'].astype(str).tolist()\n",
        ")\n",
        "\n",
        "# Creating WordCloud objects\n",
        "positive_wc = WordCloud(\n",
        "    width=800, height=400, background_color='white'\n",
        ").generate(positive_text)\n",
        "\n",
        "negative_wc = WordCloud(\n",
        "    width=800, height=400, background_color='black', colormap='Reds'\n",
        ").generate(negative_text)\n",
        "\n",
        "# Plotting\n",
        "plt.figure(figsize=(18, 10))\n",
        "plt.suptitle(\"Most Frequent Words in Legitimate vs. Phishing Emails\", fontsize=20)\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.imshow(positive_wc, interpolation='bilinear')\n",
        "plt.title(\"WordCloud for Legitimate (Ham) Emails\", fontsize=16)\n",
        "plt.axis('off')\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.imshow(negative_wc, interpolation='bilinear')\n",
        "plt.title(\"WordCloud for Phishing / Spam Emails\", fontsize=16)\n",
        "plt.axis('off')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 680
        },
        "id": "ikPw281E77EM",
        "outputId": "27a72902-93ef-4feb-ca21-998520eb2027"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x1000 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Preprocessing + Feature Engineering"
      ],
      "metadata": {
        "id": "zNQ5AwaHVPBM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# TEXT CLEANING FUNCTION\n",
        "\n",
        "stop_words = set(stopwords.words('english'))\n",
        "\n",
        "def clean_text(text):\n",
        "    if not isinstance(text, str):\n",
        "        return \"\"\n",
        "\n",
        "    text = text.lower()                                                   # lowercase\n",
        "    text = re.sub(r'<.*?>', '', text)                                     # remove HTML tags\n",
        "    text = re.sub(r'http\\S+|www.\\S+', '', text)                           # remove URLs\n",
        "    text = text.translate(str.maketrans('', '', string.punctuation))      # remove punctuation\n",
        "    text = re.sub(r'\\d+', '', text)                                       # remove numbers\n",
        "    text = \" \".join([word for word in text.split() if word not in stop_words])  # remove stopwords\n",
        "\n",
        "    return text\n",
        "\n",
        "#  APPLYING TEXT CLEANING (subject + body)\n",
        "\n",
        "Phishing_data['clean_subject'] = Phishing_data['subject'].apply(clean_text)\n",
        "Phishing_data['clean_body'] = Phishing_data['body'].apply(clean_text)\n",
        "\n",
        "# Combining subject + body into a single text field\n",
        "Phishing_data['full_text'] = Phishing_data['clean_subject'] + \" \" + Phishing_data['clean_body']\n",
        "\n",
        "#  FIXING LABEL COLUMN (VERY IMPORTANT)\n",
        "# CEAS dataset has many categories — convert to binary spam/ham\n",
        "\n",
        "# Converting label to numeric first\n",
        "Phishing_data['label'] = pd.to_numeric(Phishing_data['label'], errors='coerce')\n",
        "\n",
        "# Converting all non-zero labels to spam (1), zero to ham (0)\n",
        "Phishing_data['label_binary'] = Phishing_data['label'].apply(lambda x: 1 if x != 0 else 0)\n",
        "\n",
        "# Targeting variable\n",
        "y = Phishing_data['label_binary']\n",
        "\n",
        "# TF-IDF VECTORIZATION (BEST FOR TEXT)\n",
        "\n",
        "tfidf = TfidfVectorizer(max_features=10000)  # Increase features for higher accuracy\n",
        "\n",
        "X = tfidf.fit_transform(Phishing_data['full_text'])\n",
        "\n",
        "#  TRAIN–TEST SPLITING\n",
        "# Stratify = keep spam/ham ratio balanced\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    X, y, test_size=0.2, random_state=42, stratify=y\n",
        ")\n",
        "print(\" Data Preprocessing Completed Successfully\")\n",
        "print(\"Training Samples:\", X_train.shape)\n",
        "print(\"Testing Samples:\", X_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3LUxARgIWDIT",
        "outputId": "cae7eaf3-ba91-4584-a2fb-15672ecbbdf6"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Data Preprocessing Completed Successfully\n",
            "Training Samples: (42260, 10000)\n",
            "Testing Samples: (10566, 10000)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model 1: Logistic Regression"
      ],
      "metadata": {
        "id": "ZJM0TLiDYzuw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating and train the model\n",
        "log_reg = LogisticRegression(max_iter=3000)\n",
        "log_reg.fit(X_train, y_train)\n",
        "\n",
        "# Making predictions\n",
        "y_pred_lr = log_reg.predict(X_test)\n",
        "\n",
        "#  MODEL ACCURACY + REPORT\n",
        "print(\" Logistic Regression Accuracy:\", accuracy_score(y_test, y_pred_lr))\n",
        "print(\"\\n Classification Report:\\n\")\n",
        "print(classification_report(y_test, y_pred_lr))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R2n1NVRGbP8t",
        "outputId": "a908e42a-b8b8-4409-9150-39e0efe15466"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Logistic Regression Accuracy: 0.9904410372894189\n",
            "\n",
            " Classification Report:\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.99      0.99      3418\n",
            "           1       0.99      0.99      0.99      7148\n",
            "\n",
            "    accuracy                           0.99     10566\n",
            "   macro avg       0.99      0.99      0.99     10566\n",
            "weighted avg       0.99      0.99      0.99     10566\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Confusion Matrix of the Logistic Regression"
      ],
      "metadata": {
        "id": "jkIeKhIecs8S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cm = confusion_matrix(y_test, y_pred_lr)\n",
        "\n",
        "plt.figure(figsize=(6,5))\n",
        "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\")\n",
        "plt.title(\"Confusion Matrix of the Logistic Regression\")\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "MXYt_aS5biwc",
        "outputId": "00fca8be-94a0-4c16-da5e-eb24a2b47a49"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ROC Curve of the Logistic Regression"
      ],
      "metadata": {
        "id": "vVnSuhsociOb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Assuming your model is called 'log_reg' (change if different)\n",
        "y_pred_proba = log_reg.predict_proba(X_test)[:, 1]\n",
        "\n",
        "# Computing ROC curve and AUC\n",
        "fpr, tpr, thresholds = roc_curve(y_test, y_pred_proba)\n",
        "roc_auc = auc(fpr, tpr)\n",
        "\n",
        "# Plotting the ROC curve\n",
        "plt.figure(figsize=(6,5))\n",
        "plt.plot(fpr, tpr, color='darkorange', lw=2, label=f'ROC Curve (AUC = {roc_auc:.2f})')\n",
        "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
        "plt.xlabel('False Positive Rate')\n",
        "plt.ylabel('True Positive Rate')\n",
        "plt.title('ROC Curve of the Logistic Regression')\n",
        "plt.legend(loc='lower right')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "9kgNfvHbcdPs",
        "outputId": "82cc6f8d-2526-4f42-954f-f4f0946af8bd"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# SUPPORT VECTOR MACHINE (SVM) MODEL"
      ],
      "metadata": {
        "id": "gXcRSFbsdF46"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating and train SVM model\n",
        "svm_model = LinearSVC()\n",
        "svm_model.fit(X_train, y_train)\n",
        "\n",
        "# Prediction\n",
        "y_pred_svm = svm_model.predict(X_test)\n",
        "\n",
        "\n",
        "#  MODEL ACCURACY + REPORT\n",
        "print(\" SVM Accuracy:\", accuracy_score(y_test, y_pred_svm))\n",
        "print(\"\\n Classification Report:\\n\")\n",
        "print(classification_report(y_test, y_pred_svm))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Esa3VJM8dFC8",
        "outputId": "0a519d0f-5637-4b02-e77b-a8e338950d6c"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " SVM Accuracy: 0.9939428355101269\n",
            "\n",
            " Classification Report:\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.99      0.99      0.99      3418\n",
            "           1       1.00      1.00      1.00      7148\n",
            "\n",
            "    accuracy                           0.99     10566\n",
            "   macro avg       0.99      0.99      0.99     10566\n",
            "weighted avg       0.99      0.99      0.99     10566\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Confusion Matrix of the SVM"
      ],
      "metadata": {
        "id": "6c2yJoAUdmp8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cm_svm = confusion_matrix(y_test, y_pred_svm)\n",
        "plt.figure(figsize=(6,5))\n",
        "sns.heatmap(cm_svm, annot=True, fmt=\"d\", cmap=\"Greens\")\n",
        "plt.title(\"Confusion Matrix - SVM\")\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "sv850VlpdE9y",
        "outputId": "e85af0e7-ff09-44ee-98fa-c0b4877cf551"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ROC Curve of the SVM Model"
      ],
      "metadata": {
        "id": "BZOqmw_JebXx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "svm_scores = svm_model.decision_function(X_test)\n",
        "\n",
        "fpr_svm, tpr_svm, _ = roc_curve(y_test, svm_scores)\n",
        "auc_svm = auc(fpr_svm, tpr_svm)\n",
        "plt.figure(figsize=(8,6))\n",
        "plt.plot(fpr_svm, tpr_svm, label=f\"SVM (AUC = {auc_svm:.4f})\", linewidth=2, color='green')\n",
        "\n",
        "plt.plot([0,1], [0,1], 'k--',)\n",
        "\n",
        "plt.title(\"ROC Curve of the SVM Model\")\n",
        "plt.xlabel(\"False Positive Rate\")\n",
        "plt.ylabel(\"True Positive Rate\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "lSUQYchUeNAB",
        "outputId": "36ce98aa-6f2f-40e5-9871-5c094f8cc319"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Random Forest"
      ],
      "metadata": {
        "id": "vV70wlg-lsg_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating and train the model\n",
        "rf_model = RandomForestClassifier(n_estimators=200, random_state=42)\n",
        "rf_model.fit(X_train, y_train)\n",
        "\n",
        "# Predictions\n",
        "y_pred_rf = rf_model.predict(X_test)\n",
        "\n",
        "\n",
        "#  ACCURACY + CLASSIFICATION REPORT\n",
        "\n",
        "print(\" Random Forest Accuracy:\", accuracy_score(y_test, y_pred_rf))\n",
        "print(\"\\n Classification Report of the Random Forest:\\n\")\n",
        "print(classification_report(y_test, y_pred_rf))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "URiLlSQpeM6J",
        "outputId": "a513d1bd-41ae-4dcf-a352-a8e3020c930d"
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Random Forest Accuracy: 0.9919553284118872\n",
            "\n",
            " Classification Report of the Random Forest:\n",
            "\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.98      0.99      0.99      3418\n",
            "           1       1.00      0.99      0.99      7148\n",
            "\n",
            "    accuracy                           0.99     10566\n",
            "   macro avg       0.99      0.99      0.99     10566\n",
            "weighted avg       0.99      0.99      0.99     10566\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Confusion Matrix of the Random Forest"
      ],
      "metadata": {
        "id": "BlwnebK2mlz_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "cm_rf = confusion_matrix(y_test, y_pred_rf)\n",
        "\n",
        "plt.figure(figsize=(6,5))\n",
        "sns.heatmap(cm_rf, annot=True, cmap=\"Oranges\", fmt=\"d\")\n",
        "plt.title(\"Confusion Matrix of the Random Forest\")\n",
        "plt.xlabel(\"Predicted\")\n",
        "plt.ylabel(\"Actual\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "Z66iEUhMeM26",
        "outputId": "ff40e367-fbc2-4332-9c9b-7a4a1bec5f47"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 2 Axes>"
            ],
            "image/png": 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3dwwGA2+99VaezpnX9U8OHjzIpUuXADh06FCejr3b7vSZ5Px3xowZt/wlk9ufjRt/gbZt25bU1FQmTZpEo0aNTL+0d+/ezdChQ2nSpAmvvfYanp6eODk5sXbtWtavX5/rc+fls72Zrd9Le4wpv26+Siwvn+UzzzxD69at2bx5Mzt27OC9995j8eLFfPTRR7ecDyUCCjTsqlWrVqxevZq9e/eapVNvpVKlSmRlZXH8+HGzSXwXL14kMTGxQK+Zd3Nzu+VfUjnZiBsZDAaCg4MJDg5m/PjxLFy4kFmzZrFr165b/oWV85dwXFycxb7Y2FjKli1rt8vpunTpwtq1azEYDHTq1Mlqu++++45mzZrx1ltvmW1PTEw0TRaE3P9yyY2UlBTGjx9vSq0vXbqUtm3bWpQIblapUiViYmK4evWqWZYgNjbWtD8/bH1tOWn6hx566JY/B/k1ZswYNm/ezIIFC0ylpe+++47ixYsTERFhlkFau3Ztvs7h4eFBiRIlOH78uMW+m39u7+b3Mj88PDxwcXGx+n0zGAy3zPDcKK+fpbe3NwMGDGDAgAEcO3aMxx9/nGXLljFz5kygYL83cn/QHA07eu6553B1dWXixIlcvHjRYv+JEyf46KOPAEyXmeU8z/HBBx+Y7S8I3t7eJCUlmV3Oef78eb7//nuzdleuXLE4Nmfhqpsv7ctRvnx5ateuzVdffWUWzBw6dIidO3cW6Ou4WbNmzXjxxReZNGnSbVO5jo6OFn9JfvvttxaXmbq4uAC5T2/fzsyZMzlz5gzTp09n3LhxVKpUiXHjxll9H3OEhYWRmZnJihUrzLZ/+OGHODg4EBYWlq/xuLi42PS6HnnkEUqVKsWiRYtIT0+32H+rS2Fzw9vbm3bt2vHll19y4cIFIPvzcnBwMMu4nTx5kqioqHydw9HRkdDQUDZv3mwWXB89epQdO3aYtb2b38v8cHR0JCQkhKioKLMy4cWLF1m/fj2NGjW6Yxkrt59lamqqxeJ33t7elCxZ0uzn2NafLbn/KKNhR97e3sycOZPRo0cTHh5uWhk0LS2NvXv3snHjRtNkwlq1avGPf/yD1atXk5iYSJMmTfj999/58ssvadu2Lc2bNy+wcYWHhzNz5kyGDx9O3759uXbtGitXrsTHx4c//vjD1G7evHns3r2bli1bUqlSJS5dusSnn35KhQoVTJd73sorr7zCoEGD6NmzJz169DBd3lq6dOnbljRsZTAYcnV/j0cffZR58+Yxfvx4goKCOHToEOvWrTObTAfZn5+bmxurVq2iZMmSuLq6Ur9+fYt2dxITE8Onn37K8OHDqVu3LgDTpk2jb9++zJ49m1deecXqsa1bt6ZZs2bMmjWLU6dO4e/vz86dO4mKiqJ///4Wcwdyq27duqxcuZL58+dTtWpVPDw8CA4OzvXxpUqVYsqUKbzyyit0796d8PBwPDw8OH36NNu2baNhw4ZMnjw5X2MbOHAg3377LR999BFjxoyhZcuWfPDBBzz33HN07tzZ9HPo7e3NX3/9la9zjBgxgu3bt9OnTx969+5NZmYmy5cvp0aNGmZ93s3vZX6NGjWKH3/8kaeeeoqnnnoKR0dHVq9eTVpaWq4uEc/tZ3ns2DGeeeYZOnToQI0aNXB0dGTz5s1cvHjRLINo68+W3H8UaNhZmzZt+Oabb4iIiCAqKoqVK1fi7OyMv78/48aN48knnzS1ffPNN6lcuTJffvklmzdvply5cgwePLjAfzmXLVuWuXPnMn36dP7zn/+Y1rA4fvy4WaDRunVrTp06xdq1a/n7778pW7YsTZs2ZcSIEaZJbrfSokULli5dypw5c5gzZw7FihWjSZMm/Otf/8rzL2l7GDJkCKmpqaxbt47IyEjq1KnDokWLeOedd8zaOTk5MX36dN59912mTJlCRkYG06ZNy9NruHr1Kq+++ip16tQxrSsA2Vdx9OvXjw8++IB27doRGBh4y+MNBgMLFixgzpw5REZG8sUXX1CpUiVeeeUV05UP+TFs2DBOnz7N0qVLSU5OpmnTpnn+ZdClSxfKly/P4sWLiYiIIC0tDS8vLxo3bmzT8tMBAQE0bdqUlStXMnjwYIKDg/n3v//NkiVLeOutt6hcuTJjxozh1KlT+Q40atWqRUREBNOmTWPOnDlUqFCBESNGcOHCBYs+79b3Mr9q1qzJihUreOedd1i0aBFGo5H69evzn//8x2INDWty81lWqFCBTp06ERMTwzfffIOjoyO+vr7Mnj3bdE8hKJifLbm/OBgLYzaSiIiIPBA0R0NERETsRoGGiIiI2I0CDREREbEbBRoiIiJiNwo0RERExG4UaIiIiIjdKNAQEREp4vr27Yu/v/8tHxs2bDC1W7NmDe3btycgIICuXbuydetWi76SkpKYMGECTZs2JSgoiJEjR3L+/HmLdnv27KFnz57Ur1+fVq1asXjx4nzdn+eBXUcja+5jhT0EEbszDFhZ2EMQsT/Xcnbrekotp4Lr60/LJd5z68iRI1y9etVs20cffcSmTZvYvn07Hh4ebNiwgZdffpkhQ4bQvHlzIiMjWbt2LStWrDBbFHDgwIEcOXKEsWPHUrx4cWbPno3BYGDt2rUUK5a9jufx48d5/PHHCQkJoU+fPvz111+mla4HDhyYp7FrZVAREZEirkaNGhbbXn75ZUJCQvDw8ABgzpw5dOrUiVGjRgHQvHlzDh06xLx581iyZAkAe/fuZceOHURERBAaGgqAj48P4eHhbNq0ifDwcAAiIiIoW7Ys7777Ls7OzgQHB3P58mUWLlxI3759zW5weCcqnYiIiFjhUICPgrRnzx5OnjxJly5dAIiPj+fYsWN07NjRrF14eDgxMTGmG99FR0fj5uZGSEiIqY2vry+1a9cmOjratC06Opo2bdqYBRTh4eEkJiayd+/ePI1VgYaIiIgVDg4F9yhI69evx9XVlTZt2gAQGxsLZGcnblS9enXS09OJj483tfPx8cHhpgH5+vqa+khJSeHMmTP4+vpatHFwcDC1yy2VTkRERO6CnKDAmqioqFz1k5GRwbfffkvr1q1xdXUFICEhAQA3NzeztjnPc/YnJibe8qaY7u7u7N+/H8ieLHqrvpydnXFxcTH1lVsKNERERKwoimn/nTt3cvnyZTp37lzYQ8kVBRoiIiJWFGTJI7cZiztZv349ZcqUMU3mhOyMBGRnIzw9PU3bExMTzfa7ublx9uxZiz4TEhJMbXIyHjmZjRxpaWmkpqaa2uVWUQzWRERE5BauXbvG5s2b6dChA05O/7v0Nmc+xc3zJ2JjY3FycqJKlSqmdnFxcRbrYcTFxZn6cHV15eGHH7boK+e4m+du3IkCDRERESuK2lUnW7ZsISUlxXS1SY4qVapQrVo1Nm7caLY9MjKS4OBg09UjYWFhJCQkEBMTY2oTFxfHgQMHCAsLM20LCwsjKiqK9PR0s77c3NwICgrK05hVOhEREbGioK8WsdW6deuoWLEijRo1stg3YsQIxowZg7e3N82aNSMyMpJ9+/axfPlyU5ugoCBCQ0OZMGGCacGuWbNm4e/vT7t27UztBg4cyLp163j55Zfp3bs3hw4dIiIigtGjR+dpDQ1QoCEiInJPSEhIYPv27fTv39/i8lSAzp07k5qaypIlS1i8eDE+Pj7MnTvXIgMxe/Zspk2bxuTJk8nIyCA0NJSJEyeaVgUFqFq1KhEREUyfPp3nn38eDw8PRo4cyYABA/I8bi1BLnIf0xLk8kCw4xLkb9ctuCXIx/6R/yXI72XKaIiIiFhR1Eon9yJNBhURERG7UUZDRETECiU0bKdAQ0RExAqVTmyn0omIiIjYjTIaIiIiViihYTsFGiIiIlYYFGnYTKUTERERsRtlNERERKxQQsN2CjRERESs0FUntlPpREREROxGGQ0RERErlNCwnQINERERKwwOD+R9RwuUSiciIiJiN8poiIiIWKHSie0UaIiIiFihQMN2Kp2IiIiI3SijISIiYoXW0bCdAg0RERErFGfYTqUTERERsRtlNERERKzQ3Vttp0BDRETECsUZtlPpREREROxGGQ0RERErdNWJ7RRoiIiIWKE4w3YqnYiIiIjdKKMhIiJiha46sZ0CDRERESsUZ9hOpRMRERGxG2U0RERErNBVJ7ZToCEiImKF4gzbqXQiIiIidqOMhoiIiBUqndhOgYaIiIgVSvvbTu+hiIiI2I0yGiIiIlaodGI7BRoiIiJWKM6wnUonIiIiYjfKaIiIiFihe53YToGGiIiIFYozbKfSiYiIiNiNAg0RERErDA4F9ygIX375JY8//jgBAQE0a9aM5557jmvXrpn2b9myha5duxIQEED79u1Zu3atRR9paWm8/fbbhISEEBgYyLPPPktsbKxFu6NHj/Lss88SGBhISEgIM2bMIC0tLc9jVulERETEiqL01/iCBQtYsmQJQ4YMITAwkL///puYmBgyMzMB2L17N8OHD6dHjx5MmDCBn376iVdffZWSJUvSoUMHUz9vvvkmkZGRjBs3Di8vLxYuXMgzzzzDhg0bKF26NAAJCQn079+fatWq8f7773Pu3DmmT5/OtWvXmDx5cp7GrUBDRESkiIuNjWXu3LnMnz+fli1bmra3b9/e9P8LFiygfv36vP766wA0b96c+Ph45syZYwo0zp49y+eff85rr71Gjx49AAgICKBVq1asWrWKQYMGAbBq1SqSk5OZO3cuZcqUASAzM5OpU6cyePBgvLy8cj32ohSsiYiIFCkODgX3sMUXX3xB5cqVzYKMG6WlpbFr1y6zzAVAeHg4R48e5eTJkwDs2LGDrKwss3ZlypQhJCSE6Oho07bo6GiCg4NNQQZAx44dycrKYufOnXkauwINERERKwwF+LDFb7/9hp+fH/Pnzyc4OJh69erRq1cvfvvtNwBOnDhBeno6vr6+ZsdVr14dwDQHIzY2loceegh3d3eLdjfO04iNjbXoy83NDU9Pz1vO57gdlU5ERETugjZt2tx2f1RUlNV9Fy5cYP/+/Rw6dIjXXnsNFxcXFi5cyIABA9i0aRMJCQlAdjBwo5znOfsTExNN8zBubpfTJqfdzX0BuLu7m7XLDQUaIiIiVhSVe50YjUZSUlJ47733qFWrFgANGjSgdevWLF++nNDQ0EIeoXUKNERERKwwOBgLrK/bZSzuxM3NjTJlypiCDMieW1GnTh2OHDlCp06dAEhKSjI7LjExEcBUKnFzc+Pq1asW/ScmJpqVU9zc3Cz6guzMyM1llzvRHA0REZEirkaNGlb3Xb9+HW9vb5ycnCzmT+Q8z5lv4evry8WLFy3KHzfPyfD19bXoKykpiQsXLljM3bgTBRoiIiJWFJXJoK1ateLKlSscPHjQtO3vv//mjz/+oG7dujg7O9OsWTO+++47s+MiIyOpXr06lStXBiA0NBSDwcCmTZtMbRISEtixYwdhYWGmbWFhYfz444+mjAjAxo0bMRgMhISE5GnsKp2IiIhYUVTmaLRt25aAgABGjhzJ6NGjKV68OIsXL8bZ2ZmnnnoKgKFDh9KvXz+mTJlCx44d2bVrF+vXr2fWrFmmfipUqECPHj2YMWMGBoMBLy8vFi1aROnSpenVq5epXa9evfjkk08YNmwYgwcP5ty5c8yYMYNevXrlaQ0NAAej0VhwBah7SNbcxwp7CCJ2ZxiwsrCHIGJ/ruXs1vW3jzgWWF8dt2fadPzly5eZNm0aW7duJT09ncaNGzN+/HizskpUVBSzZ88mLi6OihUr8vzzz5sW5sqRlpbGrFmz+Prrr0lOTqZhw4ZMnDjRdClsjqNHj/LGG2+wd+9eSpYsSbdu3Rg9ejTOzs55GrcCDZH7mAINeSDYMdD4rgADjfY2Bhr3KpVORERErCgqpZN7mSaDioiIiN0ooyEiImKF/hq3nQINERERKwwqndhMwZqIiIjYjTIaIiIiVmgyqO0UaIiIiFihtL/t9B6KiIiI3SijISIiYoVKJ7ZToCEiImKF0v6203soIiIidqOMhoiIiBVaR8N2CjRERESsUJxhO5VORERExG6U0RAREbFCpRPbKdAQERGxQnGG7VQ6EREREbtRRkNERMQKlU5sp0BDRETECoODsbCHcM9T6URERETsRhkNERERK1Q5sZ0CDRERESs0R8N2Kp2IiIiI3SijIVYdvpTGvJ8T+ON8GhdTsihRzIHqHk4MbFiaVj6upnaf7b/Kur+Sifs7ncTrWZQv5UjTSiUY1tSdSm7mP2IXUzJ598crbDuWSnKaEV+PYjzfyJ0ONV1vPj0bDiUTsSeRo5fTKelkoJWvC2NalKGsi6PdX7vIrSSnpBDx0af8tv8Av+8/QEJiEtOmTqB7104WbZev+pwVn31B/MnTlC3jTni7Nrw4bBCuLi6FMHLJLyU0bKdAQ6w6nZRJcpqRx2uVwrOkI9cysth0NJUX1l9kaisPnqxXCoCDF9Oo7FaM1j4uuJUwcDIxg8//uMoPcal81bsC5Utl/5hdTcuiz+fnuJSSSd/A0pRzdWTj4RRGb7xIRtZDdPYvaTr3yt+TeP2Hv2leuThjQ8ty7momn/yWxB/n0lj9ZAWKF9PXX+6+v68kMG/xB1Ss4IW/Xw1+3r33lu3+8958ln64gvZtW9Gv9xMcjT3G8tWfcyQ2joj5s+7yqMUWKp3YToGGWNWymgstq5n/9dWnfml6rD7Lh3sTTYHGa496WBzb1teVHqvP8vWfyQxq7A7A6v1XOZGQwQePl6d5lRIA9A4oRa/PzvH2jr9pV8MVZ0cH0jKNzI65QuOKxVn2eHkcHLK/6YEPF+eF9RdY88dVnm5Q2p4vXeSWypd7iB3ff4NnuYf4/Y+D9Hj6OYs25y9c5MPlq+jWqQMz3pxk2l6tahXeeHsWW7btoHXL0Ls5bJFCpTkakieOBgcqlHIkKS3rtu0qls4ubyRe/9816L+cvo6Hi8EUZAAYHBzoUNOViylZ/PfUNQAOX0on8bqRjjVdTUEGQCsfF1ydHIg8nFyQL0kk15ydnfEs99Bt2/y6bz8ZGZl0at/GbHt4+7YAbPhus93GJwXPUICPB5UyGnJHKelZXM8wkpSWxZbYVLYfv0bHW8yp+Ds1kywjnEnKYP5/EwFoXqW4aX9apvGWJY8S/7/twPk0QrxdSMs0mm2/ue3BC+lkGY0YHJTTlKInLS0dgOIlipttdymRHWD/cfCvuz4myT/9M2O7IhdoXLhwgZ07dxIbG8uVK1cAKFOmDL6+voSEhODp6Vm4A3wAzdhxhdX7rwLZ9crHqrswsaVlueTRD06Rlpn9/2VKGHg1rCwh3v8rvfiUKUZM/DVOJWaYTRL95fR1AM4lZx9crUwxHIA9Z67TvU4pU7u4v9O5nJqdSUm4lqVJoVIk+VTzBmDPr7/TvEkj0/bde38D4Nz5C4UyLpHCUmQCjfT0dN5++21WrVpFZmYmnp6euLtn1/YTEhK4cOECjo6O9OrVi3HjxlGsWJEZ+n2vX4PStKvuyvnkDDYeSSEzC9KzLJflXdy1PNczjMT+nc43fyWTmm5eXulRtxSr91/lpY0XGfdIWR5yNbDxcAqbY1MAuJaR3WdZF0c61HTl6z+TqV7WibbVXTl3NYN/R/+NkwHSs+B6ppYFlqKpbm1/GgTUYcmHy/Eq70mzJg05GnuMqW/NxKlYMa5fTyvsIUoeaDKo7YrMb+vZs2fz9ddfM3nyZDp27Ejp0uaT/a5evcq3337Lf/7zH0qUKMGYMWMKaaQPHl8PJ3w9nAB4vHYpBn51nhfWXWD1k15mcyiaVc5ODYdVc6G1rwtdV5zF1clAn/+fuOlfzpn/tC/HlK2XeerzcwCUczUw/pGyTP3hb1yd/lfFnNrKg+sZRmbsvMKMnVcA6OLvShX3Ynx/NNWsrUhR8/7Mtxg1djITprwFgKOjI8883ZP//vIrccdOFPLoRO6uIhNofP3114wfP57u3bvfcn+pUqV44oknMBgMzJo1S4FGIWpfw5XXtl7m2JUMfMo63bKNt7sTtT2dWHco2RRo5BzbyseFvy6mkWmEOp7Opkmg1cr878exdHED8zp7cjopg1OJGVQsXYxKbsXoveYsHi4G3Ior0JCiy6u8Jys/WMCx4/FcvHSJqt5V8Cz3EKGPdaVa1SqFPTzJAyU0bFdkAo3k5GQqVKhwx3YVKlQgOVlXHRSmaxnZJZGk67e/8uR6htE0sfNGzo4OBHj9b6Lcj/HZgUbwDVej5KhYuhgVS2f/mCZez+KP82m0q2E5EVWkKKpWtYopsDhyNI4LFy/RvWt4IY9K8sJBs0FtVmT+LAwMDGThwoUkJSVZbXP16lUWLlxIUFDQXRzZg+tSSqbFtvRMI1//mWxaJTQjy0jCNcuAY9/Z6xy6lE7d8s63PcexK+ms/v0qj1YrYTU7kuPdH6+QaYT+gVpDQ+4tWVlZ/Oe9+biUKEGvHo8X9nBE7qoik9GYNGkS/fv3p2XLlrRo0QJfX1/TPI2rV68SGxvLjz/+SMmSJfnwww8Ld7APiNe2XiY5LYvGFUtQvpQjF1MyWf9XMrF/ZzA2tAwlnQ0kXs+i9Yen6FDTlZoeTrg4OXDoYjpfHkymVHEDQ5u6m/XZeflp2tdw5eHSxTiZmMGq/VdxL2FgSivzq1iW7E7g8OV06nsVx9EAUbGp7DxxjRebu5tlQ0TutuWrPicx6SrnL1wEYOu2nZw9l30lSd9ePShduhRvzphNWloatfxqkpGRwfqNm9i3/yDTX59IxYfvnLmVokMJDds5GI3GIjN9PzExkZUrV7J9+3ZiY2NJTMxei8HNzQ1fX1/CwsLo1asXbm5uNp8ra+5jNvdxv9twKJm1B5I5fCmNK9eyKOlkoE55Z56uX4rWvtnli7RMIzN3XuHnk9c4lZTB9QwjniUdCa5SgqFNLO918vLGi+w9c52LKZmUdXGklY8LI5q585Cr+aWqP8SlsuC/CRy9nE6WEfzKOfFMoNst74ki1hkGrCzsIdx3Wof/k1Nnzt5yX9SGz6lc8WG++GYDH634jBPxp3AwOFC/bh2GPNfP7HJXKUCu5ezW9ZHOBff3eI31GQXW172kSAUad5MCDXkQKNCQB4ICjSKtyJROREREihqVTmynQENERMQKXXViuyJz1YmIiIjcf5TREBERsUIZDdsp0BAREbFGeX+b6S0UEREp4r744gv8/f0tHjNnzjRrt2bNGtq3b09AQABdu3Zl69atFn0lJSUxYcIEmjZtSlBQECNHjuT8+fMW7fbs2UPPnj2pX78+rVq1YvHixeTnQlVlNERERKwoaqWTpUuXmt101MvLy/T/GzZsYNKkSQwZMoTmzZsTGRnJ8OHDWbFiBYGBgaZ2o0aN4siRI0yZMoXixYsze/ZsBg0axNq1a013Rj9+/DgDBw4kJCSEUaNG8ddffzFz5kwcHR0ZOHBgnsasQENERMSKIhZnULduXTw8PG65b86cOXTq1IlRo0YB0Lx5cw4dOsS8efNYsmQJAHv37mXHjh1EREQQGhoKgI+PD+Hh4WzatInw8Ox78URERFC2bFneffddnJ2dCQ4O5vLlyyxcuJC+ffvi7Hz720vcSKUTERGRe1x8fDzHjh2jY8eOZtvDw8OJiYkhLS0NgOjoaNzc3AgJCTG18fX1pXbt2kRHR5u2RUdH06ZNG7OAIjw8nMTERPbu3ZunsSnQEBERscLBwaHAHgWhc+fO1K5dmzZt2rBo0SIyM7NvfhkbGwtkZyduVL16ddLT04mPjze18/HxsRiPr6+vqY+UlBTOnDmDr6+vRRsHBwdTu9xS6URERMSaAiydtGnT5rb7o6KirO7z9PRkxIgRNGjQAAcHB7Zs2cLs2bM5d+4ckydPJiEhAcDiXmA5z3P2JyYmms3xyOHu7s7+/fsBTHdRv7kvZ2dnXFxcTH3llgINERGRIu6RRx7hkUceMT0PDQ2lePHifPTRRwwZMqQQR3ZnCjRERESsKMirTm6XsciPjh07smzZMg4ePIi7uzuQnY3w9PQ0tcm5C3rOfjc3N86etbz7cEJCgqlNTsYjJ7ORIy0tjdTUVFO73NIcDRERESscHAruYU858ylunj8RGxuLk5MTVapUMbWLi4uzWA8jLi7O1IerqysPP/ywRV85x908d+NOFGiIiIjcgyIjI3F0dKROnTpUqVKFatWqsXHjRos2wcHBpqtHwsLCSEhIICYmxtQmLi6OAwcOEBYWZtoWFhZGVFQU6enpZn25ubkRFBSUp3GqdCIiImJFUVmwa+DAgTRr1gx/f38guwzz2Wef0a9fP1OpZMSIEYwZMwZvb2+aNWtGZGQk+/btY/ny5aZ+goKCCA0NZcKECYwdO5bixYsza9Ys/P39adeundn51q1bx8svv0zv3r05dOgQERERjB49Ok9raAA4GPOznuh9IGvuY4U9BBG7MwxYWdhDELE/13J26/pU75IF1lellcn5PvbNN99k+/btnD17lqysLKpVq8YTTzxB3759zYKhNWvWsGTJEk6fPo2Pjw8vvfQSrVq1MusrKSmJadOm8f3335ORkUFoaCgTJ040W2UUspcgnz59OgcPHsTDw4M+ffowaNCgPAdfCjRE7mMKNOSB8AAEGvcylU5ERESsKCKVk3uaAg0RERErisocjXuZrjoRERERu1FGQ0RExAolNGynQENERMQaRRo2U+lERERE7EYZDRERESuU0LCdAg0RERErdNWJ7VQ6EREREbtRRkNERMQKZTRsp0BDRETECsUZtlPpREREROxGGQ0RERFrlNKwmQINERERKxRn2E6lExEREbEbZTRERESs0FUntlOgISIiYoXiDNupdCIiIiJ2o4yGiIiINUpp2EyBhoiIiBWao2E7lU5ERETEbpTREBERsUIJDdsp0BAREbFCpRPbqXQiIiIidqOMhoiIiDVKaNhMgYaIiIgVDgYl/m2ld1BERETsRhkNERERazQZ1GYKNERERKxRoGEzlU5ERETEbpTREBERscLBQX+P20qBhoiIiDUqndhMoZqIiIjYjTIaIiIi1iijYTMFGiIiIlboXie2U+lERERE7EYZDREREWt01YnNFGiIiIhY4WBQ6cRWCtVERETEbpTREBERsUaTQW2mQENERMQazdGwmd5BERGRe0hycjJhYWH4+/vz+++/m+1bs2YN7du3JyAggK5du7J161aL45OSkpgwYQJNmzYlKCiIkSNHcv78eYt2e/bsoWfPntSvX59WrVqxePFijEZjnserQENERMQKBweHAnsUlPnz55OZmWmxfcOGDUyaNImOHTuyZMkSAgMDGT58OL/++qtZu1GjRrFz506mTJnCzJkziYuLY9CgQWRkZJjaHD9+nIEDB+Lp6cmiRYvo378/c+bMYdmyZXker0onIiIi1hSxORpHjx7l008/ZezYsbz22mtm++bMmUOnTp0YNWoUAM2bN+fQoUPMmzePJUuWALB371527NhBREQEoaGhAPj4+BAeHs6mTZsIDw8HICIigrJly/Luu+/i7OxMcHAwly9fZuHChfTt2xdnZ+dcj1kZDRERkXvEm2++Sa9evfDx8THbHh8fz7Fjx+jYsaPZ9vDwcGJiYkhLSwMgOjoaNzc3QkJCTG18fX2pXbs20dHRpm3R0dG0adPGLKAIDw8nMTGRvXv35mnMCjRERESscXAouIeNNm7cyKFDhxg2bJjFvtjYWACLAKR69eqkp6cTHx9vaufj42NRyvH19TX1kZKSwpkzZ/D19bVo4+DgYGqXWyqdiIiIWOFQgFedtGnT5rb7o6KirO5LTU1l+vTpjB49mlKlSlnsT0hIAMDNzc1se87znP2JiYmULl3a4nh3d3f2798PZE8WvVVfzs7OuLi4mPrKLWU0REREirgFCxbw0EMP8c9//rOwh5JnymiIiIhYU4CTQW+XsbidU6dOsWzZMubNm2fKNqSkpJj+m5ycjLu7O5CdjfD09DQdm5iYCGDa7+bmxtmzZy3OkZCQYGqTk/HIOVeOtLQ0UlNTTe1yK1eBxty5c/PUKWRfEnSrOpKIiMi9oijc6+TkyZOkp6fz/PPPW+zr168fDRo04J133gGy52DcOLciNjYWJycnqlSpAmTPs4iJicFoNJrN04iLi8PPzw8AV1dXHn74YYu5GHFxcRiNRou5G3eiQENERKQIq127Nh9//LHZtoMHDzJt2jSmTp1KQEAAVapUoVq1amzcuJG2bdua2kVGRhIcHGy6eiQsLIz58+cTExNDixYtgOwA4sCBAzz33HOm48LCwoiKiuJf//oXTk5Opr7c3NwICgrK0/hzFWj8+eefeepURETkvlAEliB3c3OjWbNmt9xXt25d6tatC8CIESMYM2YM3t7eNGvWjMjISPbt28fy5ctN7YOCgggNDWXChAmMHTuW4sWLM2vWLPz9/WnXrp2p3cCBA1m3bh0vv/wyvXv35tChQ0RERDB69Og8raEBmqMhIiJiXRFbsOt2OnfuTGpqKkuWLGHx4sX4+Pgwd+5ciwzE7NmzmTZtGpMnTyYjI4PQ0FAmTpxIsWL/CwmqVq1KREQE06dP5/nnn8fDw4ORI0cyYMCAPI/LwZifhcvvA1lzHyvsIYjYnWHAysIegoj9uZazW9fXpwQUWF/Fp/x+50b3oXxnNP7880+WL1/OgQMHSEpKIisry2y/g4MDmzdvtnmAIiIihaUg71HyoMpX8WnXrl088cQT/PDDD5QvX574+HiqVKlC+fLlOX36NK6urjRp0qSgxyoiInJ3FaGVQe9V+Qo05syZQ5UqVdi4cSNvvfUWAIMHD2blypWsWrWKc+fO0aFDhwIdqIiIiNx78hVoHDhwgB49elCqVCkcHR0BTKWTBg0a0LNnT957772CG6WIiEhhcDAU3OMBla85Go6OjpQsWRLIvuymWLFiXLp0ybS/SpUqHD16tGBGKCIiUkg0R8N2+QqxvL29OXbsGJD9Ifj6+ppN/Pzhhx8oV85+s4BFRETk3pCvQKNly5Zs2LCBjIwMAJ599lk2bdpEu3btaNeuHVu2bKFnz54FOlAREZG7zuBQcI8HVL5KJy+88AL9+vUzzc/4xz/+gcFgYNOmTTg6OjJkyBC6d+9eoAMVERG52wryNvEPqnwFGk5OTpQtW9ZsW7du3ejWrVuBDEpERETuD1qCXERExBpNBrVZvgKNfv363bGNg4MDH330UX66FxERKRoUaNgsX4HGrW6PkpWVxenTpzlz5gxVq1alfPnyNg9ORERE7m35CjQ++eQTq/u2bt3KpEmTGD9+fL4HJSIiUhRoHQ3bFfh02latWtG1a1fT0uQiIiL3LK0MajO7vHJvb29+//3BvB2uiIiI/E+BX3WSkZHBt99+a3H5q4iIyD1HpROb5SvQsDb/IikpiV9//ZWLFy8ybtw4mwYmIiJS2DRHw3b5CjR27dplsc3BwQF3d3caNWrEE088QWhoqM2DExERkXubg/FW16o+CFIuFPYIROxuSsOKhT0EEbub8me63frOmhVWYH0ZRkcXWF/3knxNBv3qq684efKk1f0nT57kq6++yu+YREREigYHh4J7PKDyFWiMHz+evXv3Wt2/b98+raMhIiIiBbcy6I1SUlJMd3YVERG5Zz3A618UlFwHGn/++Sd//vmn6fnu3bvJzMy0aJeYmMiqVavw8fEpmBGKiIgUlge45FFQch1obN68mblz5wLZV5isXr2a1atX37Ktm5sbb7/9dsGMUERERO5ZuQ40nnzySR599FGMRiNPPPEEI0eOJCzMfDaug4MDLi4ueHt7U6yY7kAvIiL3OJVObJbraKB8+fKmO7J+/PHH1KhRAw8PD7sNTEREpNCpdGKzfIVqfn5+nD9/3ur+v/76i4SEhHwPSkRERO4P+Qo0pk2bxuTJk63uf+211zRHQ0RE7n26e6vN8vXKf/rpJ1q3bm11f6tWrYiJicn3oERERIoELdhls3wFGpcvX77t3VnLlCnDpUuX8j0oERERuT/k69IQT09PDhw4YHX/H3/8oYmiIiJy73uASx4FJV/vYNu2bVm7di1RUVEW+zZv3swXX3xB27ZtbR6ciIhIoVLpxGb5ymiMGDGCmJgYhg8fTq1atahZsyYAhw8f5uDBg9SoUYORI0cW6EBFRETk3pOvjEbp0qVZvXo1Q4cOJSMjg++++47vvvuOjIwMhg0bxpo1a+54PxQREZEiTxkNmzkYCzAiuH79Olu2bGHdunVs376d33//vaC6LngpFwp7BCJ2N6VhxcIegojdTfkz3W59Zy3uWmB9GZ7/psD6upfYvE640WgkJiaGdevW8f3335OcnEzZsmXp3LlzQYxPRERE7mH5DjT279/PunXr2LBhAxcvXsTBwYHw8HCefvppAgMDcXiA00QiInKf0O8ym+Up0IiPj+ebb75h3bp1HD9+HC8vL7p06UL9+vUZPXo07du3JygoyF5jFRERubt0eavNch1o9OzZk3379lG2bFnat2/Pm2++SePGjQE4ceKE3QYoIiIi965cBxq//fYblStXZty4cTz66KO6DbyIiNz/VDqxWa5zQpMmTcLT05Phw4cTEhLC5MmT+emnn3QZq4iI3L90UzWb5Tot0adPH/r06UN8fDzr1q1j/fr1fPbZZ5QrV45mzZrh4OCgCaAiIiJiJs8hVpUqVXjhhReIjIzk888/p1OnTvz8888YjUamTp3KpEmT2Lp1K9evX7fHeEVERO6eIrJg17Zt23j66adp3rw59erVo02bNkybNo2kpCSzdlu2bKFr164EBATQvn171q5da9FXWloab7/9NiEhIQQGBvLss88SGxtr0e7o0aM8++yzBAYGEhISwowZM0hLS8vz2Atkwa6srCx++uknvvnmG9NaGi4uLuzdu9fWru1HC3bJA0ALdsmDwK4Ldn3Ys8D6MjyzOt/Hfv311/z11180aNCAMmXKcPjwYd5//33q1q3LsmXLANi9ezf9+vWjR48ehIeH89NPP7Fw4UJmz55Nhw4dTH1NnjyZyMhIxo0bh5eXFwsXLiQ+Pp4NGzZQunRpABISEujUqRPVqlVj8ODBnDt3junTp9O1a1cmT56cp7EXyIxOg8FAixYtaNGiBVOnTiUqKop169YVRNciIiIPvG7dupk9b9asGc7OzkyaNIlz587h5eXFggULqF+/Pq+//joAzZs3Jz4+njlz5pgCjbNnz/L555/z2muv0aNHDwACAgJo1aoVq1atYtCgQQCsWrWK5ORk5s6dS5kyZQDIzMxk6tSpDB48GC8vr1yPvcBnpxQvXpzw8HAWLFhQ0F2LiIjcXUWkdHIrOQFAeno6aWlp7Nq1yyxzARAeHs7Ro0c5efIkADt27CArK8usXZkyZQgJCSE6Otq0LTo6muDgYNM5ADp27EhWVhY7d+7M0zgf3GmwIiIid1LErjrJzMzk+vXr/PHHH8ybN4/WrVtTuXJlTpw4QXp6Or6+vmbtq1evDmCagxEbG8tDDz2Eu7u7Rbsb52nExsZa9OXm5oanp+ct53PcjhbDEBERuQvatGlz2/1RUVF37KNVq1acO3cOgEceeYR33nkHyJ5TAdnBwI1ynufsT0xMNM3DuLldTpucdjf3BeDu7m7WLjcUaIiIiFhTxJZtWLx4MampqRw5coQFCxYwZMgQPvjgg8Ie1m0p0BAREbGmABfayk3G4k5q1aoFQFBQEAEBAXTr1o3vv/+eGjVqAFhc7pqYmAhgKpW4ublx9epVi34TExPNyilubm4WfUF2ZuTmssudaI6GiIjIPcjf3x8nJydOnDiBt7c3Tk5OFvMncp7nzLfw9fXl4sWLFuWPm+dk+Pr6WvSVlJTEhQsXLOZu3IkCDREREWuK8FUnv/32G+np6VSuXBlnZ2eaNWvGd999Z9YmMjKS6tWrU7lyZQBCQ0MxGAxs2rTJ1CYhIYEdO3YQFhZm2hYWFsaPP/5oyogAbNy4EYPBQEhISJ7GqdKJiIiINUXkHiXDhw+nXr16+Pv7U6JECf78808iIiLw9/enbdu2AAwdOpR+/foxZcoUOnbsyK5du1i/fj2zZs0y9VOhQgV69OjBjBkzMBgMeHl5sWjRIkqXLk2vXr1M7Xr16sUnn3zCsGHDTAt2zZgxg169euVpDQ0ooJVB70laGVQeAFoZVB4Edl0Z9NNnCqwvw1Mf5vvYxYsXExkZyYkTJzAajVSqVInHHnuMgQMHUqpUKVO7qKgoZs+eTVxcHBUrVuT55583LcyVIy0tjVmzZvH111+TnJxMw4YNmThxoulS2BxHjx7ljTfeYO/evZQsWZJu3boxevRonJ2d8zR2BRoi9zEFGvIgsGugsfLZAuvL0LtoXx1iLyqdiIiIWFNESif3Mr2DIiIiYjfKaIiIiFhTxBbsuhcp0BAREbFGpROb6R0UERERu1FGQ0RExBqDSie2UqAhIiJijeZo2EylExEREbEbZTRERESs0WRQmynQEBERsUalE5spVBMRERG7UUZDRETEGpVObKZAQ0RExBoFGjbTOygiIiJ2o4yGiIiINcpo2EyBhoiIiDW66sRmCtVERETEbpTREBERsUalE5sp0BAREbFGgYbN9A6KiIiI3SijISIiYo0mg9pMgYaIiIg1Kp3YTO+giIiI2I0yGiIiItYoo2EzBRoiIiLWKNCwmd5BERERsRtlNERERKzRVSc2U6AhIiJijUonNtM7KCIiInajjIaIiIg1ymjYTIGGiIiINQYFGrbSOygiIiJ2o4yGiIiINbrqxGYKNERERKzRHA2b6R0UERERu1FGQ0RExBplNGymQENERMQazdGwmUI1ERERsRtlNERERKxR6cRmCjRERESsUaBhM72DIiIiYjcKNERERKxxMBTcwwbffvstQ4cOJSwsjMDAQLp168bnn3+O0Wg0a7dmzRrat29PQEAAXbt2ZevWrRZ9JSUlMWHCBJo2bUpQUBAjR47k/PnzFu327NlDz549qV+/Pq1atWLx4sUW58sNBRoiIiLWODgU3MMGH374IS4uLowbN44FCxYQFhbGpEmTmDdvnqnNhg0bmDRpEh07dmTJkiUEBgYyfPhwfv31V7O+Ro0axc6dO5kyZQozZ84kLi6OQYMGkZGRYWpz/PhxBg4ciKenJ4sWLaJ///7MmTOHZcuW5XnsmqMhIiJSxC1YsAAPDw/T8+DgYK5cucIHH3zACy+8gMFgYM6cOXTq1IlRo0YB0Lx5cw4dOsS8efNYsmQJAHv37mXHjh1EREQQGhoKgI+PD+Hh4WzatInw8HAAIiIiKFu2LO+++y7Ozs4EBwdz+fJlFi5cSN++fXF2ds712JXREBERsaaIlE5uDDJy1K5dm6tXr5KSkkJ8fDzHjh2jY8eOZm3Cw8OJiYkhLS0NgOjoaNzc3AgJCTG18fX1pXbt2kRHR5u2RUdH06ZNG7OAIjw8nMTERPbu3ZunsSvQEBERsaaIBBq38ssvv+Dl5UWpUqWIjY0FsrMTN6pevTrp6enEx8cDEBsbi4+PDw43lXJ8fX1NfaSkpHDmzBl8fX0t2jg4OJja5ZZKJyIiIndBmzZtbrs/Kioq133t3r2byMhIxo4dC0BCQgIAbm5uZu1ynufsT0xMpHTp0hb9ubu7s3//fiB7suit+nJ2dsbFxcXUV24p0BAREbGmCC5BfvbsWUaPHk2zZs3o169fYQ/njhRoiIiIWFOAJY+8ZCysSUxMZNCgQZQpU4b3338fgyF7fO7u7kB2NsLT09Os/Y373dzcOHv2rEW/CQkJpjY5GY+czEaOtLQ0UlNTTe1yS3M0RERE7gHXrl1j8ODBJCUlsXTpUrMSSM58ipvnT8TGxuLk5ESVKlVM7eLi4izWw4iLizP14erqysMPP2zRV85xN8/duBMFGiIiItYUkcmgGRkZjBo1itjYWJYuXYqXl5fZ/ipVqlCtWjU2btxotj0yMpLg4GDT1SNhYWEkJCQQExNjahMXF8eBAwcICwszbQsLCyMqKor09HSzvtzc3AgKCsrT2FU6kQLzx8G/eH/hMvb8uo/raWlUqVSRJ7t3pd9TT5japKWns+zjlXy1fiOnTp+ldKmS1KtTi9cn/osKXuULcfTyoHp8WgSB/7Be534nrCpJ508DUCUomMfGTOPhOkFcv5rIHxs/J2rWRNJSks2O8ahag9Yjp+DdKAQXdw8Szpzg9/Wr+HHZu6RfSwXAqYQLgd2foVabLpSvWQ/nkqW4fPwov3y2lF8+W4IxK8t+L1pyr4jc62Tq1Kls3bqVcePGcfXqVbNFuOrUqYOzszMjRoxgzJgxeHt706xZMyIjI9m3bx/Lly83tQ0KCiI0NJQJEyYwduxYihcvzqxZs/D396ddu3amdgMHDmTdunW8/PLL9O7dm0OHDhEREcHo0aPztIYGgIMxP+uJ3g9SLhT2CO4rO2J+ZsiLY6lTqybh7drg6urCifhTZBmNvDLqBQDS0zN4fsQY9v62nye6d8G/ZnUSE5P4bf8Bhg9+lprV85aOkzub0rBiYQ+hyKsc2ByPKjf97Dk40HnKPK6cOsb8LoEAVKjVgIGrtnPx6J/88tlS3CpUosWAl4jb9QMrnu9iOtStQmWGfr2H61cT2L1qMakJf1M5sDlB3fvzZ9Q3rBr2TwDK16zL0K/3EBuzhaM7v+d6chI1Qh6jdrt/8OtXn/DVuAF36y245035M/3OjfIpa/fSAuvL0Pi5fB/bunVrTp06dct9UVFRVK5cGchegnzJkiWcPn0aHx8fXnrpJVq1amXWPikpiWnTpvH999+TkZFBaGgoEydOtMiS7Nmzh+nTp3Pw4EE8PDzo06cPgwYNsrg09k4UaIjNrl5Npv3jvQlqUI85/3nTNDnpZks+XMF785bw6QfzqV+vzl0e5YNJgUb+eDcMYcCnPxA1ayLbF70NQJ9F31ChdgPmdqzH9eTsSXINewyg65uL+GRgR47u3AzAI4PH0mb0m8zr3IALRw6Y+nx8+jICH+/L9KaeXEu8gmuZhyhZzsusDUC3fy8h6J/PMKddLS6fOHqXXvG9za6Bxp6IAuvL0HBggfV1LykaOSG5p6379nsuXrrM6GHPYzAYSElNJeumtG9WVhYff7qGtq3DqF+vDhkZGaSmXiukEYvcXkDnXhizsvh9/SoAipcsjW+Ltuz75lNTkAHw29efcD05ibod/lceLF4ye+2B5IvnzPq8ev4MWZmZZKZnr9CYcuWSRZABcHDzVwCUq16rQF+T5FMRmaNxL3twX7kUmJhduylVqiTnzl/Izmy0eIxGoe157d8zuX79OgBHYo9x/sJF/GtWZ9IbbxPY4jECW7Sly5P9+em/ewr5FYj8j6FYMep27EH83hiunDoOQHm/ABydnDi9/xeztpnp6Zw9+BsV6gSath37eRsAXf+9mAq1GuBWoTJ1Oz5B496D2fXJXNJTU257/lLlKgCQ8velAnxVIoVHk0HFZsdOxJOZkckLo8fT4/HOvDxiCD/v3ssnqz4nKSmJd6dP5fiJ7OVvP1zxGWXcSvP6xH8BsCjiY54b9jKfL19CLb8ahfkyRACoEdoO17Ll2Lduimlb6fLZv/yTLpyxaH/1whm8G4Wanh/ZsYktsyfzyOBx1GrT1bQ9esFbbHnvtdue29HJieb9RvB3fCynf/+vja9ECsQDnIkoKPdcoPH3339z5MgRmjRpUthDkf+XkppK6rVr9OrxOBPHjgKgXZuWpKWns3rt14wc+hzJKdkz7ZOTU/hq5TIerpA96ah5k4a069qLpR99ysx/Ty6slyBiEtC5F5lpafyxcY1pW7HiLgBk/v+NqW6Ucf06TiVczLZdOXWc47u3c2DTl6ReuUTNluE8MngcVy+e4+cV862eO3zSHMrXrMuK57uQlZlZQK9IbKJAw2b3XKDx888/M2rUKA4ePFjYQ5H/V6J4cQA6d2hrtr1Lx8dYvfZrft23nxIlSgDQMDDAFGQAVHy4Ag2D6rP3t9/v3oBFrHB2LYl/664c2bmJ1CuXTdszrmcHyo63uKyvWPHipktWAeqFP0mX1xfwfoc6JJ7Lvkrg4Pdf4WAw0Pblt/h9wyqzvnO0GPASjZ58ji2zJ3M4eqPFfpF7lUI1sVl5z3IAPPSQ+W2MPTzKApCQlGRqU+7/t93oobJlSUxMstgucrfVatMNZ9eS/L5updn2pPPZSzaX9nzY4phSng+blVSa9B7CmYO/moKMHH9tWYeza0kerh1o0UfgP/rx2Jhp/HflIqIXTiuAVyIFxsGh4B4PqCKT0ejSpcudGwHJycl3biR3Vd3a/uz86b+cO38B32repu3nL1wEwKNsGfxqVsepWDHOnb9ocfz5CxfxKFvmbg1XxKqALr25npzEX1vWmW0/f3g/menpVKzXiD82fm7a7ujkRIXaDfjj2/9tK1muPNcSrlj07VjMCQCDo/k/u/6tu9D1jUUc/P5LIl8fUYCvRqRoKDIZjdjYWAwGA/Xq1bvtI2dREik6OrZrDcDnX6032/75l+soVsyRpo0aUqqkK2Ghwezdt5+jccdNbY7GHmPvvv20aK45N1K4XMuWwze4DX9+/7VZKQTg+tVEYmOiqN/1KZxLljJtr9/1aYqXLM2BG4KPS8cOU6FOIA9Vq2nWR71OPcnKzOTcof+VCas2DqXHuys4vns7a8f0s7j/hBQFDgX4eDAVmYxGzZo1qVq1KtOm3T5t+N133/Hf/2o2dlFSp5Yf/+zWibVfbyAzM5MmjQL5efdeNn6/lcED+uJVPrts8tLw54n5eTf9nx9Jv949APh45ee4u5VmyMCif6tjub/VC38SRycn9q3/9Jb7t8yezMCV0Tz78RbTyqDBz47myI5NHNmxydTux4h3qPlIB55dvpWfV8wn9cpl/B4Np2bLjvzyWQRJ57PLLO4Vvek9/0swGjnw3RfU7dDD7Hzn/vrdLCiRQqLJoDYrMoFG/fr12b59e67aKuoveqa++i8qPuzFF19HsnlLNBUfrsD4MSN5ps+TpjY1qvuwfOlcZr63gAVLP8bB4EDzJo14ZdQLeJX3vE3vIvYX0KU3Vy+eI/bHW9/K+8yBvXz8bAfajnmL9uNnkpacxN61H7D53VfN2h3fvYOI3mE8OnwSTXoPwbXMQ/x9Ko6oWRPZuXSmqV3ZytUo4VYGgE6vvW9xvh/mvq5AQ+4LRWYJ8hMnTnD48GHatGlz23bXrl3j0qVLVKpUybYTaglyeQBoCXJ5ENh1CfL9qwqsL0O9XgXW172kyGQ0vL298fb2vmO7EiVK2B5kiIiI5IpKJ7bSOygiIiJ2U2QyGiIiIkXOA7z+RUFRoCEiImKNAg2bqXQiIiIidqOMhoiIiFX6e9xWCjRERESsUenEZgrVRERExG6U0RAREbFGGQ2bKdAQERGxSol/W+kdFBEREbtRRkNERMQalU5spkBDRETEGt0m3mZ6B0VERMRulNEQERGxSqUTWynQEBERsUZzNGym0omIiIjYjTIaIiIi1mgyqM0UaIiIiFjhoNKJzRSqiYiIiN0ooyEiImKV/h63lQINERERa1Q6sZlCNREREbEbZTRERESsUUbDZgo0RERErFLi31Z6B0VERMRulNEQERGxRqUTmynQEBERsUaBhs1UOhERERG7UUZDRETEKv09bisFGiIiItaodGIzhWoiIiJF3PHjx5k8eTLdunWjTp06dO7c+Zbt1qxZQ/v27QkICKBr165s3brVok1SUhITJkygadOmBAUFMXLkSM6fP2/Rbs+ePfTs2ZP69evTqlUrFi9ejNFozPPYFWiIiIhY42AouIcNDh8+zLZt26hatSrVq1e/ZZsNGzYwadIkOnbsyJIlSwgMDGT48OH8+uuvZu1GjRrFzp07mTJlCjNnziQuLo5BgwaRkZFhanP8+HEGDhyIp6cnixYton///syZM4dly5bleewqnYiIiFhVNEonrVu3pm3btgCMGzeO/fv3W7SZM2cOnTp1YtSoUQA0b96cQ4cOMW/ePJYsWQLA3r172bFjBxEREYSGhgLg4+NDeHg4mzZtIjw8HICIiAjKli3Lu+++i7OzM8HBwVy+fJmFCxfSt29fnJ2dcz12ZTRERESKOIPh9r+u4+PjOXbsGB07djTbHh4eTkxMDGlpaQBER0fj5uZGSEiIqY2vry+1a9cmOjratC06Opo2bdqYBRTh4eEkJiayd+/evI09T61FREQeJA4OBfewo9jYWCA7O3Gj6tWrk56eTnx8vKmdj48PDjeNx9fX19RHSkoKZ86cwdfX16KNg4ODqV1uqXQiIiJijY1zK27Upk2b2+6PiorKd98JCQkAuLm5mW3PeZ6zPzExkdKlS1sc7+7ubirHJCUl3bIvZ2dnXFxcTH3lljIaIiIiYjfKaIiIiFhTgCUPWzIWd+Lu7g5kZyM8PT1N2xMTE832u7m5cfbsWYvjExISTG1yMh45mY0caWlppKammtrlljIaIiIiVjkU4MN+cuZT3Dx/IjY2FicnJ6pUqWJqFxcXZ7EeRlxcnKkPV1dXHn74YYu+co67ee7GnSjQEBERucdVqVKFatWqsXHjRrPtkZGRBAcHm64eCQsLIyEhgZiYGFObuLg4Dhw4QFhYmGlbWFgYUVFRpKenm/Xl5uZGUFBQnsam0omIiIg1BTgZ1Bapqals27YNgFOnTnH16lVTUNG0aVM8PDwYMWIEY8aMwdvbm2bNmhEZGcm+fftYvny5qZ+goCBCQ0OZMGECY8eOpXjx4syaNQt/f3/atWtnajdw4EDWrVvHyy+/TO/evTl06BARERGMHj06T2toADgY87Oe6P0g5UJhj0DE7qY0rFjYQxCxuyl/pt+5UT4Zz/xaYH05PByY72NPnjxp9aqVjz/+mGbNmgHZS5AvWbKE06dP4+Pjw0svvUSrVq3M2iclJTFt2jS+//57MjIyCA0NZeLEiXh5eZm127NnD9OnT+fgwYN4eHjQp08fBg0aZHFp7J0o0BC5jynQkAfBgxBo3MtUOhEREbFGd2+1mQINERERqxRo2KpozHIRERGR+5IyGiIiItaodGIzZTRERETEbhRoiIiIiN2odCIiImKNSic2U6AhIiJilQINW6l0IiIiInajjIaIiIg1Kp3YTIGGiIiIVQo0bKXSiYiIiNiNMhoiIiLWqHRiMwUaIiIiVinQsJVKJyIiImI3ymiIiIhYo9KJzRRoiIiIWKVAw1YqnYiIiIjdKKMhIiJijUonNlOgISIiYpUCDVupdCIiIiJ2o0BDRERE7EalExERESscNEfDZspoiIiIiN0ooyEiImKVMhq2UqAhIiJijUonNlPpREREROxGGQ0RERGrlNGwlQINERERa1Q6sZlKJyIiImI3ymiIiIhYpYyGrRRoiIiIWKPSic1UOhERERG7UUZDRETEKmU0bKVAQ0RExBqVTmym0omIiIjYjTIaIiIiVimjYSsFGiIiItYozrCZSiciIiJiN8poiIiIWKWUhq0UaIiIiFijq05sptKJiIiI2I0yGiIiIlYpo2ErBRoiIiLWqHRiM5VORERExG6U0RAREbFKGQ1bORiNRmNhD0JERETuTyqdiIiIiN0o0BARERG7UaAhIiIidqNAQ0REROxGgYaIiIjYjQINERERsRsFGiIiImI3CjRERETEbhRoiIiIiN0o0BARERG7UaAhIiIidqNAQ0REROxGgYaIiIjYjQINsaujR4/y7LPPEhgYSEhICDNmzCAtLa2whyVSoI4fP87kyZPp1q0bderUoXPnzoU9JJEio1hhD0DuXwkJCfTv359q1arx/vvvc+7cOaZPn861a9eYPHlyYQ9PpMAcPnyYbdu20aBBA7KysjAajYU9JJEiQ4GG2M2qVatITk5m7ty5lClTBoDMzEymTp3K4MGD8fLyKtwBihSQ1q1b07ZtWwDGjRvH/v37C3lEIkWHSidiN9HR0QQHB5uCDICOHTuSlZXFzp07C29gIgXMYNA/pSLW6NshdhMbG4uvr6/ZNjc3Nzw9PYmNjS2kUYmIyN2kQEPsJjExETc3N4vt7u7uJCQkFMKIRETkblOgISIiInajQEPsxs3NjaSkJIvtCQkJuLu7F8KIRETkblOgIXbj6+trMRcjKSmJCxcuWMzdEBGR+5MCDbGbsLAwfvzxRxITE03bNm7ciMFgICQkpBBHJiIid4vW0RC76dWrF5988gnDhg1j8ODBnDt3jhkzZtCrVy+toSH3ldTUVLZt2wbAqVOnuHr1Khs3bgSgadOmeHh4FObwRAqVg1FL2IkdHT16lDfeeIO9e/dSsmRJunXrxujRo3F2di7soYkUmJMnT9KmTZtb7vv4449p1qzZXR6RSNGhQENERETsRnM0RERExG4UaIiIiIjdKNAQERERu1GgISIiInajQENERETsRoGGiIiI2I0CDREREbEbBRoi94HWrVszbtw40/Ndu3bh7+/Prl27CnFU5m4eo4g8GBRoiBSAL774An9/f9MjICCA9u3b8/rrr3Px4sXCHl6ubdu2jffff7+whyEi9xHd60SkAI0cOZLKlSuTlpbGL7/8wsqVK9m2bRvr16/HxcXlro2jSZMm7Nu3Dycnpzwdt23bNlasWMGIESPsNDIRedAo0BApQGFhYQQEBADwxBNPUKZMGT744AOioqLo3LmzRfuUlBRcXV0LfBwGg4HixYsXeL8iInml0omIHTVv3hzIvunWuHHjCAoK4sSJEwwaNIigoCDGjBkDQFZWFh9++CGdOnUiICCAFi1aMHnyZBISEsz6MxqNzJ8/n7CwMBo0aEDfvn05fPiwxXmtzdH47bffGDRoEE2aNCEwMJAuXbrw0UcfATBu3DhWrFgBYFYGylHQYxSRB4MyGiJ2dOLECQDKlCkDQEZGBgMHDqRRo0aMHTuWEiVKADB58mS+/PJLunfvTt++fTl58iQrVqzgwIEDrFy50lQCee+991iwYAEtW7akZcuW/PHHHwwYMID09PQ7jmXnzp0MHjyY8uXL069fP8qVK8fRo0f54Ycf6N+/Pz179uT8+fPs3LmTGTNmWBx/N8YoIvcfBRoiBejq1atcvnyZtLQ09uzZw7x58yhRogStWrXi119/JS0tjQ4dOvDyyy+bjtm9ezdr1qxh5syZdOnSxbS9WbNmPPfcc2zcuJEuXbpw+fJlli5dyqOPPsrChQtxcHAAYNasWSxcuPC248rMzGTy5MmUL1+er776Cjc3N9O+nBs4BwUFUa1aNXbu3Em3bt3Mjr8bYxSR+5NKJyIF6JlnniE4OJiWLVsyevRoSpYsydy5c/Hy8jK16d27t9kxGzdupHTp0oSEhHD58mXTo27duri6uprKHz/++CPp6ek8/fTTpl/gAP3797/juA4cOMDJkyfp16+fWZABmPVlzd0Yo4jcn5TREClAkydPxsfHB0dHR8qVK4ePjw8Gw//i+WLFilGhQgWzY44fP05SUhLBwcG37PPSpUsAnD59GoBq1aqZ7ffw8MDd3f2244qPjwfAz88vT6/nbo5RRO5PCjREClD9+vVNV53cirOzs1ngAdmTLB966CFmzpx5y2M8PDwKdIz5cS+MUUSKJgUaIoXM29ubmJgYGjZsaJoceisVK1YE4NixY1SpUsW0/fLlyxZXftwsp/2hQ4do0aKF1XbWyih3Y4wicn/SHA2RQtaxY0cyMzOZP3++xb6MjAwSExMBaNGiBU5OTixfvtw0gRMwXZ56O3Xr1qVy5cp8/PHHpv5y3NhXzqJiN7e5G2MUkfuTMhoihaxp06b07NmTRYsWcfDgQUJCQnBycuLYsWNs3LiRV199lQ4dOuDh4cGAAQNYtGgRgwcPpmXLlhw4cIDo6GjKli1723MYDAamTJnC0KFDefzxx+nevTuenp7ExsZy5MgRIiIigOyABODNN98kNDQUR0dHOnXqdFfGKCL3JwUaIkXA66+/Tr169Vi1ahWzZs3C0dGRSpUq0bVrVxo2bGhqN2rUKJydnVm1ahW7du2ifv36LFu2jMGDB9/xHI888ggfffQR8+bNY9myZRiNRqpUqcKTTz5patOuXTv69u3Lhg0b+OabbzAajXTq1OmujVFE7j8OxhvzmyIiIiIFSHM0RERExG4UaIiIiIjdKNAQERERu1GgISIiInajQENERETsRoGGiIiI2I0CDREREbEbBRoiIiJiNwo0RERExG4UaIiIiIjdKNAQERERu1GgISIiInajQENERETs5v8AXJkl5CrT0uEAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ROC Curve of the Random Forest"
      ],
      "metadata": {
        "id": "OBr8_Yxxms7G"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Get predicted probabilities for class 1\n",
        "rf_probs = rf_model.predict_proba(X_test)[:, 1]\n",
        "\n",
        "fpr_rf, tpr_rf, _ = roc_curve(y_test, rf_probs)\n",
        "auc_rf = auc(fpr_rf, tpr_rf)\n",
        "\n",
        "plt.figure(figsize=(8,6))\n",
        "plt.plot(fpr_rf, tpr_rf, label=f\"Random Forest (AUC = {auc_rf:.4f})\", linewidth=2, color=\"darkorange\")\n",
        "plt.plot([0,1], [0,1], 'k--', label=\"Random Guess\")\n",
        "\n",
        "plt.title(\"ROC Curve of the Random Forest\")\n",
        "plt.xlabel(\"False Positive Rate\")\n",
        "plt.ylabel(\"True Positive Rate\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "uZo2PDMKla1t",
        "outputId": "743d9c63-90a5-48ea-d5d3-ecf75333b3f9"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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PHz6EVCqV6+3NGvbxuRoLeixNTU3Rt29f9O3bF4mJiRgyZAh8fX1lofdLX1tEmoRjeolKiGbNmqF+/frYuXMnUlNTAWSOixwxYgTCw8NznBf3119/xdGjR9GqVSvY2trKthk1ahRCQ0OxevXqHHu/jh8/nuOUWVmypoc6dOgQzp8/n+32tLQ0rFixQrZctWpVhIWFyQ0t+Pfff3H79u18P34gc4xjq1atcPr0aZw6dQo6OjrZequ7du2KO3fu4MqVK9m2j4+PR0ZGRq77b9GiBXR0dBAYGCj3vPz0009ISEiQzUZQUAYGBrL7V0TZsmXRtGlTHDhwAG/evMl2e15DNvKira2N4cOHIzQ0VDZdVlaQ+/jxp6WlYe/evQrdB5A55/SbN29w5swZWVtycjIOHjwot17dunVRtmxZ7N+/X246s0uXLiE0NFQtrhzXpk0bREdHy40tz8jIQGBgIAwNDeX+UchJQY7lu3fv5G4zMjKChYWF3HPzpa8tIk3Cnl6iEmTkyJGYNGkSjhw5gkGDBgEAxowZg5CQEGzZsgV3796Fg4MD9PX1cevWLZw4cQI1a9aUC6AAMGrUKDx58gTbtm3D9evX4ejoiHLlyuHt27c4f/48/v77b+zfvz/PWlauXIkRI0Zg/PjxaN++Pezt7WFgYICnT58iKCgIb968kU1v1a9fP+zYsQMjR45Ev379EBMTg/3796NWrVoFHlvs5OSEGTNmYO/evWjVqlW2McUjR47ExYsX4e7ujj59+qBOnTpITk7Go0ePcPbsWVy4cCHbONAsZmZmcHNzg5+fH0aNGoUOHTogPDwce/fulc3Hqog6deoAAJYsWYJWrVpBLBajW7duBdrH/PnzMXjwYPTo0QMDBgxA1apV8fbtW9y9exevX7/GiRMnFKrN2dkZPj4+2LJlCzp16oSGDRvCxMQEs2fPxtChQyESiXD8+PEvGhowYMAA7NmzB7NmzcKDBw9gbm6O48ePZ/voX0dHB9OnT4enpyeGDBmCbt26yaYsq1y5Mr777juFa1AWFxcXHDhwALNnz8aDBw9QuXJlnD17Frdv38acOXNk493zkt9j2a1bNzRt2hR16tSBqakp7t27h7Nnz2LIkCGyfSnjtUWkKRh6iUoQBwcHWFhYYNu2bRgwYADEYjHEYjHWr1+PY8eO4dChQ9iwYQPS09NhYWEBDw8PjBgxAoaGhnL70dLSwsqVK9GxY0ccPHgQ27Ztw4cPH1CmTBnY2dlhxowZaNiwYZ61mJmZYf/+/di7dy+CgoKwbt06pKeno3LlyujQoQOGDRsmWzcrePv4+GD58uWoVasWVq5ciZMnT+LPP/8s0HPQoUMH6OvrIzExUW7WhiwGBgYIDAzE5s2bcebMGRw7dgylSpWCpaUlJkyY8NkrqE2YMAFmZmbYvXs3li9fDhMTEwwYMABTp06VzZlbUA4ODhg6dChOnTqFEydOQBCEAgeTWrVq4fDhw/Dz88PRo0fx/v17mJmZoXbt2vDw8FCoLiBzzGnWR+bXr19Hs2bNEBAQgBUrVmD9+vUwNjZGz549YW9vj5EjRyp0HwYGBtixYwcWL16M3bt3Q19fHz169ECbNm2yjb12dnaGvr4+tmzZgtWrV8PQ0BCdOnXCjBkzCuWkyYLS19dHYGAgVq9ejaNHj+LDhw+oXr06li9fDmdn53ztI7/HcujQobh48SKuXr2KtLQ0VKpUCZMnT5Y7Dsp4bRFpCpGgipH5RERERERFiGN6iYiIiKjYY+glIiIiomKPoZeIiIiIij2GXiIiIiIq9hh6iYiIiKjYY+glIiIiomKP8/Tm4s6dOxAEQeF5NYmIiIiocKWnp0MkEn12bniAPb25EgThi64gpMj9paWlFel9knLxGGo+HkPNxuOn+XgMNV9RH8OC5DX29OYiq4e3Xr16RXJ/SUlJCAkJQa1atbJd/Yo0A4+h5uMx1Gw8fpqPx1DzFfUxvHfvXr7XZU8vERERERV7DL1EREREVOwx9BIRERFRscfQS0RERETFHkMvERERERV7DL1EREREVOwx9BIRERFRscfQS0RERETFHkMvERERERV7DL1EREREVOwx9BIRERFRscfQS0RERETFHkMvERERERV7ahV6nz59Ci8vL/Tq1Qu1a9dG9+7d87WdIAj44Ycf0K5dO9SvXx8uLi64e/du4RZLRERERBpDrULv48ePcenSJVSrVg01a9bM93ZbtmyBj48PvvvuO2zevBnm5uYYMWIEnj9/XojVEhEREZGmUKvQ26FDB1y6dAk+Pj6oU6dOvrZJTU3F5s2bMWLECHz33Xewt7fH2rVrYWpqih9//LGQKyYiIiIiTaBWoVdLq+Dl3L59Gx8+fEDXrl1lbbq6uujcuTMuX76szPKIiIiISENpq7qALxUWFgYAqFGjhlx7zZo1sXPnTqSkpEBfX18VpRERERUPgpD1w0fLQgFvy8f6qYkQpycAqe8ArdTP7yvPWnO8UT22U/S+NKB+UUoKIEjz2KfqaHzojY+Ph66uLvT09OTajY2NIQgC4uLiFA69giAgKSlJGWV+VnJystx3+gJSCSBkZP7SffwFabY2kSB81C7kuM6n24oEIYd2AempySj17hXSQ58hRU/3k6JyeIPI9qaRn3W+cL2c5LCt6IvuowDb5vg8C9l+FuVxDD89DrL9KiI9HV+9fw+8N0Wajk7+txOEzOdM9gf6o58L3IbsbR+tL8r3fqX53ufHbaKC1PpxCMlvXR89Z7Jt/08k9zrJ5eec1vl/m64goHZaKnTu6kKqJcrldZf//f23Xg7hrKBh7qM2UZ7r51FLTnXluo9c6irAY8vxfaCQGQKwBYCrRX7XpARP34vxJlGMOlbVkFztSpHcpyAIEIlE+VpX40NvYUpPT0dISEiR3mdERESet4uk6RBJ0yCWJEFLkgiRIJF9idPjoZMeC+20GIglSf9/c80KBUJmcICQub40HVrSNAAfhQO5N7qP3yRlK3z0Jihke4P++I1cJGT89yXN+lny0X4VJ5KmQySkQ0ua/v/9p2U+HiE98zYoGHi+kD4AE5XcMymLLjL/6JJm0gL/qBGpyslH+pgebAo9bQFnh4Qj6vFdZOiVK5L71tX9tKMpZxr//mBsbIy0tDSkpqbK9fbGx8dDJBLBxETxGKKjo4NatWopo8zPSk5ORkREBCwtLWFgYAAAEH2IhM51L0CsB63X16H1rmgDOBGRMgkQAXI9Mv//Oae2T3/ObR1Ze+Z3qVQKLS1xAbbL5T4/2W+25VzWEXJdX/SZfeZ1v3lsl1Ndn26Xj30Kee4zh+0K/PiQc9sn+5RIpEhOToGBgQHEYnGe+xQ+fcwfy7PnrxC2U2ifRV1/XhSvPyVdiiU/hSHw8isAwNeVSyO81ihYWTeR5ZnC9OTJk3yvq/GhN2ssb3h4OL755htZe1hYGCpVqvRF43lFIhEMDYu238fAwACGHx4BgQ2L9H6LjqK/kB8R6wJivf9////PWrry7VragEgMiLSyf+HTNlEObbl85bFtukSCtzHvUK5cOejo5PBfZ45vHJ+25bBOvrZT4Xpfsq2W+JPnVvSZ5zuv4/LRttnCVf6kpKTg+fPnqFq1qgLvHVn3KZL/Obfv+VlH4f1pKXFfylo351ePMiUlJSEkJAQ2NjZF/t6dpbAfY3GXmpSEJ/8/hroqOoaUf2FhYXB3d8eDB5mB18PDAx4eHnjy5ElmnimCY5jfoQ1AMQi9jRo1QqlSpXD69GlZ6E1PT0dwcDDatGmj4uoKTuvZOeBU75xvNCyf+ZWRApSxAqJuAjW6/xfw9EwAwwqZX/qmyDH0ZYUDbf3MgJgVEADIBwUFfv74P3EtncwvsQ4g0v7/94//ay9+0pOSEBkSAhMbG+jwzVojSZOSEJ8UAmk1G4DHkIgoVxcuXMDYsWORmJgIMzMzbNiwAR06dCiyc6EUoVahNzk5GZcuXQIAvHz5Eh8+fMCZM2cAAE2bNoWZmRlcXV0RGRmJc+fOAQD09PTg5uYGX19fmJmZwcrKCvv27cP79+8xcuRIlT0WRennFHg7+AG1egOlKxd1OURERETZVKtWDYIgoFmzZti4cSO++uorVZf0WWoVemNiYjBp0iS5tqzlXbt2oVmzZpBKpZBIJHLrjB49GoIgYNu2bYiNjYWNjQ1+/PFHVK1atchqV4pPzzTu/ANQf7RqaiEiIiL6SFxcnOxcqVq1auHo0aP45ptvoK2tVnEyV2pVZZUqVfDw4cM81wkMDMzWJhKJ4ObmBjc3t8IqrUiUfX1CvoGBl4iIiNTATz/9hHnz5mH79u2wt7cHANStW1fFVRWMWl2RraTTS37x34I2xxMSERGRaiUlJWHq1KmYNGkSEhISsHfvXlWXpDC16ukt6UxifvtvofeJ3FckIiIiKmQPHz6Eu7s7Hj16BC0tLUydOhUTJ05UdVkKY+hVI1LxR1MkGZqrrhAiIiIqsQRBwIEDBzB37lykpKSgQoUK8PPzQ4sWLVRd2hdh6FUjErHRfwvGliqrg4iIiEqu3377DdOmTQMAtG3bFj4+PihXrmiurlaYGHqJiIiISKZVq1bo06cPrK2t4eHhAS2t4nEKGEOvGjF594eqSyAiIqISRhAEHDp0CI6OjjAxMYFIJIKvr2+BrnamCYpHdC+OtAv/etVERERUsiUkJGDs2LGYMmUKpk+fDuH/1wwoboEXYE+v2hDFh8s3iHVUUwgRERGVCPfu3YO7uzsiIiKgra2Nxo0bq7qkQsXQqyZESdGqLoGIiIhKAEEQsGPHDixatAhpaWmoUqUKNm3axNBLKtBosqorICIiomIoLi4O06dPR1BQEACgS5cuWLNmDUxNTVVbWBFg6CUiIiIqISQSCe7cuQMdHR18//33GDFiRLEcv5sThl4iIiKiYuzjk9PMzMywefNmiMVi2NraqrawIsbZG4iIiIiKqXfv3mHEiBE4ePCgrK1x48YlLvAC7OlVH5IUVVdARERExciNGzcwbtw4REZG4s8//0S3bt1QqlQpVZelMuzpVROiD8//WzAoq7pCiIiISKNJpVJs2rQJffv2RWRkJKpXr44DBw6U6MALsKdXbYjSk/5bMKyoukKIiIhIY8XExGDy5Mm4ePEiAKB3795YsWJFiQ+8AEOv2tC+u/a/BeNqqiuEiIiINFJiYiK6dOmCyMhI6OvrY/HixRg0aFCJmZ3hczi8QU0Ipl//t1C6quoKISIiIo1kZGSEfv36oVatWjh58iQGDx7MwPsRhl51IRL/97NRBdXVQURERBojOjoaL168kC1PmzYNp0+fho2NjQqrUk8MvUREREQa6LfffoODgwNGjRqF1NRUAIC2tjYMDQ1VXJl6YuglIiIi0iASiQRr1qzBwIED8ebNG6SlpeHt27eqLkvt8UQ2IiIiIg0RFRWF8ePH49q1awCAQYMGYfHixTAwMFBxZeqPoZeIiIhIA1y+fBkTJkzA27dvYWhoiBUrVsDZ2VnVZWkMhl4iIiIiNSeVSrFy5Uq8ffsWtWvXRkBAAGrWrKnqsjQKx/QSERERqTktLS1s2rQJo0aNwokTJxh4FcDQS0RERKSGLly4AD8/P9myhYUFFi5cyPG7CuLwBiIiIiI1kp6ejhUrVsDf3x8A0KRJEzRv3lzFVWk+hl4iIiIiNfHy5UuMHTsWt27dAgCMGDECDRs2VHFVxQNDr7pIT/rvZ7Gu6uogIiIilQgODsaUKVPw/v17GBsbY82aNXByclJ1WcUGQ6+aECVGAgAEXROIdIxUXA0REREVJW9vb/j6+gIAGjZsiE2bNsHCwkLFVRUvPJFNXUjTM79r66u2DiIiIipyWbMxjBkzBkeOHGHgLQTs6SUiIiJSgffv38PU1BQA0L9/f9jY2KBu3bqqLaoYY08vERERURFKSUnBvHnz0LFjR8TExMjaGXgLF0MvERERUREJDw9Hr169sH37drx+/RoXLlxQdUklBkMvERERURE4fvw4unTpgvv378PMzAyBgYEYMGCAqssqMTiml4iIiKgQJScnY8GCBdi9ezcAoFmzZti4cSO++uorFVdWsrCnl4iIiKgQrVu3Drt374ZIJMKkSZNw8OBBBl4VYE8vERERUSEaP348/vjjD0yfPh1t2rRRdTklFnt6iYiIiJQoKSkJu3btgiAIAABjY2McP36cgVfF2NNLREREpCQPHz6Eu7s7Hj16BKlUiu+++w4AIBKJVFsYsaeXiIiI6EsJgoADBw7AyckJjx49QoUKFfD111+ruiz6CHt6iYiIiL5AYmIiZs+ejSNHjgAA2rZtCx8fH5QrV07FldHHGHqJiIiIFBQSEgI3NzeEhoZCLBZjxowZ8PDwgJYWP0xXNwy9RERERApKSEhAREQEKlasCH9/fzRt2lTVJVEuGHqJiIiICkAQBNmJaU2bNsWmTZvQokULmJmZqbgyygv73omIiIjy6f79+3BwcMCjR49kbd27d2fg1QAMvURERESfIQgCduzYgR49euCff/7B4sWLVV0SFRCHNxARERHlIS4uDtOnT0dQUBAAwNHREWvWrFFxVVRQDL1EREREubh79y7Gjh2LZ8+eQUdHB/PmzcPIkSN5sQkNxNBLRERElIMbN26gf//+SE9Ph4WFBfz9/WFra6vqskhBDL1EREREOWjYsCEaNmyIcuXKYfXq1TAxMVF1SfQFGHqJiIiI/u/evXuwsrKCnp4etLW1ERgYCCMjIw5nKAY4ewMRERGVeFKpFP7+/ujevTuWLl0qay9VqhQDbzHBnl4iIiIq0WJjYzFp0iRcvHgRABATEwOJRAKxWKziykiZGHqJiIioxLp+/TrGjRuH169fQ19fH4sWLcLgwYPZu1sMMfQSERFRiSOVSuHn54fVq1dDIpGgZs2aCAgIQO3atVVdGhUSjuklIiKiEuf169fYtGkTJBIJ+vbti9OnTzPwFnPs6SUiIqISp1KlSli7di0SEhIwYMAADmcoARh6iYiIqNiTSCTw8fFBo0aN0LZtWwCAk5OTiquiosTQS0RERMVaVFQUJkyYgKtXr6Js2bK4cuUKLzRRAnFMLxERERVbly9fhoODA65evQpDQ0PMnz+fgbeEYk8vERERFTsZGRlYs2YNfH19IQgCbGxsEBAQgFq1aqm6NFIRhl4iIiIqVpKTk/Htt9/i+vXrAIAhQ4ZgwYIFMDAwUHFlpEoMvURERFSsGBgYoGrVqnjw4AFWrlyJXr16qbokUgMc00tEREQaLz09HfHx8bLl5cuX48yZMwy8JMPQS0RERBrt5cuX6Nu3Lzw8PCCVSgEAhoaGqF69uoorI3XC0EtEREQaKzg4GA4ODrh16xZu3ryJsLAwVZdEaoqhl4iIiDROWloaFixYgOHDh+P9+/ewtbXF2bNnOTsD5YonshEREZFGefbsGcaNG4c7d+4AAEaPHo05c+ZAV1dXxZWROmPoJSIiIo0hCALGjBmDe/fuwdTUFOvWrYODg4OqyyINwOENREREpDFEIhG8vb1hb28vG89LlB9qF3pDQ0MxfPhw2NraomXLlli5ciXS0tI+u927d+/g5eWFdu3awdbWFt27d8e+ffuKoGIiIiIqTOHh4Th58qRs2dbWFocOHULlypVVWBVpGrUa3hAXFwdXV1dYWlrC19cXUVFR8Pb2RkpKCry8vPLcdtKkSQgLC8PUqVPx1Vdf4fLly1iwYAHEYjEGDBhQRI+AiIiIlOn48eOYOXMm0tPTYWlpibp16wLI7PElKgi1Cr379+9HYmIi/Pz8YGpqCgCQSCRYuHAh3NzcUKFChRy3i46OxvXr17F8+XI4OzsDAOzt7XHv3j2cOnWKoZeIiEjDJCcnY8GCBdi9ezcAoFmzZjAzM1NxVaTJ1Gp4w+XLl2Fvby8LvADQtWtXSKVSXL16NdftMjIyAAClS5eWay9VqhQEQSiUWomIiKhwhIWFoUePHti9ezdEIhEmTpyIgwcPolKlSqoujTSYWoXesLAw1KhRQ67N2NgY5ubmeU42/dVXX6FVq1YICAjAkydP8OHDBwQFBeHq1av49ttvC7tsIiIiUpJLly6hT58+CAkJQbly5bB3717MmjUL2tpq9eE0aSC1egXFx8fD2Ng4W7uJiQni4uLy3NbX1xdTpkxBt27dAABisRjz5s2Do6OjwvUIgoCkpCSFty8Ivf/3SAuCgOQiuk9SruTkZLnvpHl4DDUbj5/mS05ORlRUFJKSktC8eXOsWbMG5cuXL7K/xfTlivr3UBCEfI/vVqvQqyhBEODp6YmIiAisWbMG5ubmuHbtGpYtWwYTExNZEC6o9PR0hISEKLnanNXNyIAYmWOYi+o+qXBERESougT6QjyGmo3HT/NIpVJoaWV++NyvXz+ULVsW7dq1Q0xMDGJiYlRcHSmiKH8P83tRErUKvcbGxkhISMjWHhcXBxMTk1y3+/XXX3HmzBmcOHEC1tbWADIHvMfExMDb21vh0Kujo1NklzPUvqENpGb2UNvY2BTJfZJyJScnIyIiApaWljAwMFB1OaQAHkPNxuOneQRBwOHDh7F//34EBgYCyAxLI0eO5DHUUEX9e/jkyZN8r6tWobdGjRrZxu4mJCQgOjo621jfjz158gRisRhWVlZy7TY2Njh06BCSk5MVeuJFIhEMDQ0LvJ0ipP/vmi/K+6TCYWBgwGOo4XgMNRuPn2ZITEyEp6cnDh8+DAA4fPgwhgwZAoDHsDgoqmNYkKnr1OpEtjZt2uDatWuIj4+XtZ05cwZaWlpo2bJlrttVrlwZEokEDx8+lGt/8OABypYty/8WiYiI1EhISAicnJxw+PBhaGlpYebMmRg1apSqy6JiTq1C78CBA2FkZAQPDw/89ttvOHz4MFauXImBAwfKzdHr6uqKzp07y5bbtGmDSpUqYeLEiTh+/Dh+//13rFq1CkePHpX910hERESqJQgC9uzZg+7du+PJkyeoWLEifvrpJ0yaNEk2ppeosKjV8AYTExPs3LkTixcvhoeHB4yMjNCvXz9MmTJFbj2pVAqJRCJbLlWqFHbs2IF169Zh9erVSEhIQJUqVTB79myGXiIiIjXh6+uLFStWAAA6dOiADRs28IITVGTUKvQCQM2aNbFjx44818ka7P6xatWqYf369YVTFBEREX2xvn37Ytu2bXBzc4Obmxt7d6lIqV3oJSIiouJBEATcuHEDTZs2BZB5Ds7Vq1dhZGSk4sqoJOK/WERERKR0cXFxGDNmDPr06YPg4GBZOwMvqQp7etWE1ofnqi6BiIhIKe7evYuxY8fi2bNn0NHRQVRUlKpLImLoVQsZKbIfRUl8YyAiIs0kCAJ+/PFHLFmyBOnp6ahatSoCAgJga2ur6tKIGHrVgjRD1RUQERF9kXfv3mHatGk4e/YsAMDJyQmrV6/O84qqREWJoVfNSKq0h1jVRRARERXQ9evXcfbsWejq6mL+/PlwdXUt0NWyiAobQy8RERF9sS5dumDGjBno2LEj6tWrp+pyiLLh7A1ERERUYLGxsZg4caLcSWqTJ09m4CW1xZ5eIiIiKpDr169j3LhxeP36Nd69e5fjRaOI1A17eomIiChfpFIpfHx80L9/f7x+/Ro1a9aEp6enqssiyhf29BIREdFnvX37FhMmTMDly5cBAM7OzvD29ubFJkhjMPSqBUHVBRAREeUqJCQEgwcPxps3b6Cvr49ly5ZhwIABnJ2BNApDr9rhGwgREakXCwsLGBsbw9TUFAEBAbC2tlZ1SUQFxtBLRERE2cTGxqJMmTIQiUQwMjJCYGAgypUrB0NDQ1WXRqQQnshGREREci5fvoz27dtj8+bNsjYLCwsGXtJoDL1EREQEAMjIyMCKFSswePBgvH37FseOHUNGRoaqyyJSCoZeIiIiwqtXrzBgwAD4+PhAEAR8++23OHr0KLS1ORKSige+komIiEq4ixcvYtKkSYiNjYWRkRFWrVqFXr16qbosIqVi6FUHAqcsIyIi1Xj9+jVGjhyJtLQ01K1bF/7+/qhRo4aqyyJSOoZedcM5D4mIqAhVrFgRnp6eePr0Kb7//nvo6+uruiSiQsHQS0REVMIEBwejUqVKqFu3LgBgzJgxKq6IqPDxRDYiIqISIi0tDQsXLsTw4cPh7u6ODx8+qLokoiLDnl4iIqIS4NmzZxg3bhzu3LkDAOjYsSN0dXVVXBVR0WHoJSIiKuaCgoIwbdo0xMfHw8TEBOvWrYOjo6OqyyIqUgy9RERExVRaWhoWLVqE7du3AwAaNWoEf39/VKlSRcWVERU9juklIiIqpsRiMZ48eQIAGDt2LI4cOcLASyUWe3rVAufpJSIi5ZFKpdDS0oJYLIavry/u3buHDh06qLosIpViT6/a4Ty9RESkmOTkZMyaNQuzZ8+WtZmbmzPwEoE9vURERMXCkydP4O7ujpCQEIhEIgwfPhw2NjaqLotIbbCnl4iISMMdOXIEXbt2RUhICMqWLYvdu3cz8BJ9gj29REREGio5ORnff/899u3bBwCwt7eHn58fKlasqOLKiNQPQy8REZEGEgQBQ4cOxe+//w6RSIQpU6Zg8uTJEIvFqi6NSC0x9BIREWkgkUiEMWPGICwsDD4+PmjVqpWqSyJSawy9REREGiIxMRFPnjxBgwYNAAAODg5o1aoVDA0NVVwZkfrjiWzqQOA8vURElLeQkBA4OTlh8ODBePnypaydgZcofxh61Q7n6SUiov8IgoA9e/age/fuePLkCfT19REdHa3qsog0Doc3EBERqamEhATMmjULx48fBwC0b98eGzZsQNmyZVVcGZHmYeglIiJSQ/fv34ebmxsiIiIgFosxe/ZsuLu7Q0uLH9ISKYKhl4iISA3t27cPERERqFSpEjZt2gQ7OztVl0Sk0Rh6iYiI1NC8efOgo6ODiRMnwszMTNXlEGk8fkZCRESkBv766y9MmzYNEokEAGBgYIAFCxYw8BIpCUMvERGRCgmCgK1bt6JXr17Yv38/fvzxR1WXRFQscXiDWuA8vUREJdG7d+8wbdo0nD17FgDg5OQEFxcXFVdFVDwx9KobEefpJSIqCW7duoWxY8fi5cuX0NXVhZeXF7777juI+HeAqFAw9BIRERWxAwcOYObMmcjIyIClpSX8/f1Rv359VZdFVKxxTC8REVERq1u3LsRiMXr06IEzZ84w8BIVgS/q6U1LS8ODBw8QExODRo0a8QxTIiKiXERHR8Pc3BwAUKdOHZw9exa1atXicAaiIqJwT++uXbvQqlUrDB48GBMmTMDDhw8BALGxsWjWrBl++uknpRVJRESkqaRSKXx9fdG8eXPcuXNH1v71118z8BIVIYVC7+HDh7Fs2TK0bt0aS5cuhSD8N/uAmZkZmjdvjqCgIKUVSUREpInevn2LIUOGwNvbGykpKTh16pSqSyIqsRQa3rB9+3Z07NgRa9aswbt377LdXqdOHQQGBn5xcSWGwCnLiIiKm2vXrmH8+PGIioqCvr4+li5dyunIiFRIoZ7ep0+fok2bNrnebmpqivfv3ytaUwnHj7qIiDSZRCLBunXr4OLigqioKHz99dc4deoUBg4cyOEMRCqkUOg1NjbOsYc3y5MnT2SD9YmIiEqSkydPYvXq1ZBKpRgwYACCgoLwzTffqLosohJPoeENbdq0wcGDBzF48OBstz1+/BiHDh1C3759v7g4IiIiTdOzZ08EBwejXbt26N+/v6rLIaL/Uyj0Tp48GQMGDED37t3Rvn17iEQiHDt2DIcPH0ZwcDDMzc0xbtw4ZddKRESkdjIyMrBt2zZ8++23MDIygkgkwsaNG1VdFhF9QqHhDRUqVMCRI0fQunVrnD59GoIg4Pjx4/jll1/QrVs3HDx4kHP2EhFRsffq1Su4uLhg4cKFmD17tqrLIaI8KHxxirJly2Lp0qVYunQpYmNjIZVKYWZmBi0tXuSNiIiKv19++QUTJ05EbGwsjIyM0LFjR1WXRER5UCihenp64q+//pItm5mZoVy5crLA+/fff8PT01M5FRIREamR9PR0LFu2DEOGDEFsbCzq1KmDM2fOoHfv3qoujYjyoFDoPXr0KJ49e5br7S9evMCxY8cUrakE4jy9RESa4NWrV+jXr59szK6rqytOnDiBGjVqqLgyIvochYc35OXNmzfQ19cvjF0Xf5zDkYhIbYnFYjx9+hSlS5fG6tWr0b17d1WXRET5lO/Qe/78eVy4cEG2fPDgQVy7di3begkJCbh27Rrq1q2rnAqJiIhUSCKRQCwWAwDKly+PLVu2wNzcHJaWlqotjIgKJN+hNzQ0FGfOnAEAiEQi/PXXX7h//77cOiKRCIaGhrCzs+NZrEREpPGeP3+OsWPHYsyYMejZsycAwM7OTsVVEZEi8h163dzc4ObmBgD45ptvsHTpUvTo0aPQCiMiIlKl06dPY9q0aYiLi8PSpUvRpUsX6OrqqrosIlKQQmN6//33X2XXQUREpBZSU1OxZMkSbNu2DQDQsGFDBAQEMPASabhCOZGNiIhIE0VERGDs2LH4+++/AQDu7u6YPXs2dHR0VFwZEX0phUPvpUuXsGPHDvzzzz9ISEiAIGSfdiskJOSLiiMiIioqb9++RdeuXREfH48yZcpg/fr16NSpk6rLIiIlUWie3rNnz8Ld3R1v376Fk5MTpFIpunXrBicnJ+jr68Pa2hoeHh7KrrX4yuEfBiIiKlrlypWDi4sL7OzsEBwczMBLVMwo1NO7efNm1K9fH3v37kVcXBz27duHvn37wt7eHi9evICLiwuqVKmi7FpLCM7TS0RUVEJDQ6Gvr4/KlSsDAObMmQMtLS1oa3P0H1Fxo1BPb2hoKJycnCAWi2VvDBkZGQCAKlWqYNCgQdiyZYvyqiQiIlKyI0eOoEuXLvDw8EB6ejoAQFdXl4GXqJhS6DdbX19fNqjf2NgYurq6iI6Olt1erlw5vHjxQjkVEhERKVFycjK+//577Nu3DwCgra2NDx8+oEyZMiqujIgKk0I9vdWrV0doaKhs2cbGBsePH0dGRgZSU1Nx8uRJfPXVV0orkoiISBkeP36M7t27Y9++fRCJRJgyZQoOHDjAwEtUAigUejt37owLFy4gLS0NQOaULn/++Sfs7OzQvHlz3Lx5E2PGjFFqoURERF/i4MGD6Nq1K/7991+Ym5tj3759mD59uuwSw0RUvCk0vGHkyJEYOXKkbLl9+/YIDAxEcHAwxGIx2rZti+bNmytUUGhoKJYsWYI7d+7AyMgIvXr1wuTJk/M1KXhUVBTWrl2LS5cuISkpCZUrV8bYsWNll44kIqKSKS0tDT/88AOSk5PRqlUr+Pr6onz58qoui4iKkNJG6zdp0gRNmjSRLX/48AGlSpUq0D7i4uLg6uoKS0tL+Pr6IioqCt7e3khJSYGXl1ee27558wYuLi6oXr06Fi9ejFKlSuHx48ey3mgiIiq5dHV1ERAQgKCgIHh4eLB3l6gEUvopqjExMdi5cyf27duHGzduFGjb/fv3IzExEX5+fjA1NQUASCQSLFy4EG5ubqhQoUKu265atQoVK1bE1q1bZW9m9vb2Cj+OosV5eomIlEkQBOzbtw9xcXEYO3YsAKBWrVqYOHGiiisjIlUpUOiNiYnBsWPH8OzZM5iYmMDBwQF169YFkDm0wN/fH0ePHkVqaiqaNm1a4GIuX74Me3t7WeAFgK5du2L+/Pm4evUqnJ2dc9zuw4cPOH36NJYtW6bx/70LnKeXiOiLfPjwATNnzsTRo0ehpaWF1q1by/5WEVHJle/QGxoaiiFDhuD9+/eySw5v3boVq1atgkgkwty5c5GWlgYHBweMHDlSoTeYsLAw9O3bV67N2NgY5ubmCAsLy3W7Bw8eID09Hdra2hgyZAju3LkDU1NT9O7dG5MnT+Y104mISoiwsDBMnDgREREREIvFmDlzJmrXrq3qsohIDeQ79G7YsAFJSUmYP38+mjRpghcvXmD58uVYtmwZEhIS0L59e0yfPh1Vq1ZVuJj4+HgYGxtnazcxMUFcXFyu2719+xYAMG/ePAwYMADjx4/H33//DR8fH2hpaWHatGkK1SMIApKSkhTatkCSk2D4/x+lUknR3CcpXXJystx30jw8hppLEATs3LkTK1euRHp6OipWrIj169ejcePGSElJUXV5lE/8HdR8RX0MBUGASJS/T8nzHXpv3ryJQYMGYeDAgQAyx0aJxWKMHj0affr0wfLlyxWrVgmkUikAoEWLFpg9ezYAoHnz5khMTMS2bdvg4eEBfX39Au83PT0dISEhSq01J9pp79Dg/z8nJSUhtAjukwpPRESEqkugL8RjqHnWrVuHX375BQBgZ2eHSZMmwdDQsEjew0n5+Duo+YryGOZnhi+gAKH3/fv3sLa2lmv75ptvAACdOnUqQGm5MzY2RkJCQrb2uLg4mJiY5LkdgGzTpNnb2yMgIABPnz7NVnt+6OjooFatWgXersCSo4FrmT8aGhrCxsam8O+TlC45ORkRERGwtLSEgYGBqsshBfAYaq527drhypUrGDZsmCzwkubh76DmK+pj+OTJk3yvm+/QK5VKs12PPGtZWW8uNWrUyDZ2NyEhAdHR0ahRo0au230umKampipUj0gkKqI3zv/uQ0tLzDdrDWdgYMBjqOF4DNWfIAiIjo6WzbU7cuRING/eHKmpqTA0NOTx03D8HdR8RXUM8zu0ASjg7A3379+Hnp6ebDkxMREikQi3bt3KsYfWwcGhILtHmzZtEBAQIDe298yZM9DS0kLLli1z3a5y5cqwsrLCtWvXMGTIEFn7tWvXoK+vXzS9tUREVCTev3+PadOm4cGDBzh79ixMTEwgEolQo0YNDmcgolwVKPTu3LkTO3fuzNbu5+eXrU0kEhX4zWfgwIEIDAyEh4cH3NzcEBUVhZUrV2LgwIFyc/S6uroiMjIS586dk7VNmTIF48aNw9KlS9GuXTvcu3cP27Ztw8iRIzXgv0XO00tElB+3b9/G2LFj8eLFC+jq6uLmzZvo2LGjqssiIg2Q79C7a9euwqwDQOYsDTt37sTixYvh4eEBIyMj9OvXD1OmTJFbTyqVQiKRyLV16NABa9euxaZNm7Bv3z6UL18eEyZMwJgxYwq9bqUqQDc9EVFJIQgCNm/ejOXLlyMjIwPVqlVDQEAA6tevr+rSiEhD5Dv0KnKxCUXUrFkTO3bsyHOdwMDAHNudnJzg5ORUCFUREZGqxMbGYsqUKTh//jwAoHv37li1alWOU1wSEeVG6ZchJiIiUqZly5bh/Pnz0NPTw4IFCzB06NACnbxCRAQw9BIRkZqbM2cOnj17Bi8vL15OmIgUpqXqAoiIiD4WExODLVu2yJbNzMxw8OBBBl4i+iLs6SUiIrXx+++/Y/z48Xj9+jWMjY3h4uKi6pKIqJhgT686EDhlGRGVbBKJBOvWrcOAAQPw+vVrfP3112jQoMHnNyQiyif29KodnpxBRCXLmzdvMGHCBPz2228AgP79+2PZsmUaMMc6EWkShXt6IyMj4eXlBUdHRzRt2hQ3btwAkDm1zJIlS/DPP/8orUgiIiqerl69CgcHB/z2228wMDDAunXrsH79egZeIlI6hXp6nzx5gm+//RZSqRT169fHs2fPkJGRASDzhINbt24hKSkJy5YtU2qxRERUvEgkErx9+xbffPMNAgIC8PXXX6u6JCIqphQKvatWrULp0qVx8OBBAECLFi3kbm/bti1Onz795dUREVGxk5GRAW3tzD8/bdq0wY8//og2bdrAwMBAxZURUXGm0PCGGzduYNCgQTAzM8txgvBKlSohKirqi4sjIqLi5ddff0Xbtm0REREha3N0dGTgJaJCp1DoFQQB+vr6ud4eGxsLXV1dhYsiIqLiJSMjA8uXL8e3336LiIgIrF+/XtUlEVEJo1DorV27Ni5dupTjbRkZGTh16hSnmiEiIgDAy5cv0a9fP/j5+QEAhg0bBm9vbxVXRUQljUKhd8yYMbhy5Qrmz5+Px48fA8i8gs61a9cwYsQIhIWFYcyYMUottHjjPL1EVDydP38eDg4OuHHjBkqXLg1/f38sX748z08LiYgKg0InsrVt2xbLly/HsmXLZCezzZgxA4IgoFSpUlixYgXs7OyUWmiJkcMYaSIiTRQcHIzhw4cDAOrXrw9/f39YWlqqtigiKrEUvjhF79694eDggGvXriEiIgJSqRQWFhZo1aoVSpUqpcwaiYhIA7Vr1w62trZo3Lgx5s6dCz09PVWXREQlmEKhVxAEiEQiGBoaolOnTsquiYiINNRvv/2G5s2bQ1tbG7q6ujh8+DCHMhCRWlBoTG/r1q2xZMkS3Lp1S9n1EBGRBkpNTYWXlxdcXFywevVqWTsDLxGpC4V6eps2bYrDhw9jz549qFChArp27YquXbuifv36yq6PiIjUXEREBMaOHYu///4bQOYsPlmfCBIRqQuFQu/atWuRkpKCX375BadPn8a+ffuwY8cOVK5cGU5OTujatStsbGyUXSsREamZn3/+GTNmzEBCQgJMTU2xfv16dO7cWdVlERFlo/CJbPr6+rIe3qSkJFy8eBFBQUHYsWMHtmzZgmrVquHMmTPKrJWIiNRESkoKFi5ciF27dgEA7OzssHHjRlSuXFnFlRER5UyhMb2fMjQ0RPfu3bFq1SrMnDkThoaGePr0qTJ2XTIInKeXiDTLy5cvcejQIQDA+PHjcejQIQZeIlJrCvf0ZklOTsbFixdx+vRpXLlyBWlpabCwsEDXrl2VUV8JxDFwRKT+atasiTVr1sDY2Bjt27dXdTlERJ+lUOhNTU3Fr7/+iqCgIFy+fBnJycmoXLkyhg4dCicnJ9SuXVvZdRIRkQolJydjwYIFcHZ2RrNmzQAAvXr1UnFVRET5p1Dobd68OVJSUlC+fHkMGDAATk5OaNCggbJrIyIiNfD48WO4u7vj33//xcWLF3HlyhVORUZEGkeh0Ovs7IyuXbuiSZMmyq6HiIjUyKFDh+Dp6Ynk5GSYm5tjzZo1DLxEpJEUCr3ff/+9susgIiI1kpSUhLlz5+LgwYMAgJYtW8LPzw/ly5dXcWVERIrJV+i9ceMGgMwpaT5e/pys9YmISHPExsbC2dkZjx8/hpaWFqZOnYqJEydCLBarujQiIoXlK/QOHToUIpEIf/31F3R1dWXLucm6Ek9ISIjSCiUioqJRpkwZWFlZIT4+Hhs3boS9vb2qSyIi+mL5Cr1Zk4/r6urKLZOycJ5eIlKtDx8+QBAElC5dGiKRCKtXr0ZaWhrKlSun6tKIiJQiX6G3adOmeS6TMnGeXiIqWg8ePIC7uztsbGywefNmiEQiGBsbq7osIiKlUuiKbMOGDcPvv/+e6+1//PEHhg0bpnBRRERU+ARBwK5du9CjRw+EhYXh9u3bePPmjarLIiIqFAqF3j///BNv377N9fbY2Nh8n+xGRERFLz4+HmPHjoWnpydSU1PRsWNHBAcHo0KFCqoujYioUCh8GeK8TmR7+vQpjIyMFN01EREVor///htjx45FREQEtLW14enpiTFjxkBLS6F+ECIijZDv0Hv06FEcPXpUtuzv7y+bv/FjCQkJePjwIdq0aaOcComISGkyMjLg7u6Op0+fokqVKti0aRMaN26s6rKIiApdvkNvcnIy3r17J1tOTEzMsVfA0NAQAwcOhIeHh3IqJCIipdHW1sb69euxZcsWrFq1CqampqouiYioSOQ79A4ePBiDBw8GAHTo0AFz585Fx44dC62wEkXglGVEVHju3LmDyMhIdOvWDUDmDDychYeIShqFxvRevHhR2XVQljzGShMRFYQgCPjhhx+wbNky6OjowMrKCl9//bWqyyIiUol8hd7IyEgAQKVKleSWPydrfSIiKlqxsbGYMmUKzp8/DwBwdHTkzAxEVKLlK/R26NBB7jLEWcufw8sQExEVvRs3bmDcuHGIjIyEnp4e5s+fj2HDhuXrfZuIqLjKV+hdtmwZRCIRdHR05JaJiEi9+Pv7Y/ny5ZBIJKhevToCAgJQt25dVZdFRKRy+Qq9zs7OeS4TEZF6eP/+PSQSCXr37o0VK1agVKlSqi6JiEgtKHxxipykpaUhIyMDhoaGytwtERHlISMjA9ramW/nM2bMgK2tLbp06cJP5IiIPqLQ5XdOnTqFZcuWybX5+fmhUaNGsLOzg4eHBxITE5VSIBER5UwikWD9+vXo3bs3UlNTAWTOw9u1a1cGXiKiTygUerdt24bk5GTZ8u3bt+Hn54dWrVrB1dUVV65cQUBAgNKKLP44Ty8RFUx0dDS+/fZbrFq1Cnfu3MGpU6dUXRIRkVpTaHjD8+fP0adPH9nyyZMnUa5cOfj5+UFbWxuCICA4OBjTpk1TWqElB3tniChvv/32G8aPH4/o6GgYGBhg6dKlPNeCiOgzFOrpTUtLg56enmz56tWraNOmjWxMWc2aNfH69WvlVEhERAAyhzOsXr0aAwcORHR0NKytrREUFAQXFxdVl0ZEpPYUCr1VqlTBtWvXAAD37t3D06dP0bp1a9ntMTExPJmNiEjJFixYgHXr1kEQBAwePBinTp2ClZWVqssiItIICg1vcHFxwdKlS/HkyRNERUWhYsWKaN++vez227dvo1atWkorkoiIgJEjRyIoKAjz5s2TG2JGRESfp1DoHTp0KPT09HDp0iXUrVsXo0aNgr6+PoDMOSKjo6MxaNAgpRZKRFTSZGRk4Nq1a2jTpg0AwNLSEteuXZMbXkZERPmj8Dy9AwYMwIABA7K1m5qa4siRI19UFBFRSRcZGQkPDw/cuHEDe/fulQVfBl4iIsV88cUpnjx5gpcvXwIAKleuzGENRERf6Pz585g8eTLevXuHUqVKISkpSdUlERFpPIVD7/nz5+Ht7S0LvFmqVKmC2bNno2PHjl9cXIkhcJ5eIgLS09Ph7e0tm+e8Xr16CAgIgKWlpWoLIyIqBhQKvZcuXcLEiRNRqVIlTJkyBTVr1gQAhIaG4uDBg5gwYQICAgJkH8dRAfAqSkQl0osXLzB27Fjcvn0bADBixAjMmzePwxmIiJREodC7adMmWFtbY8+ePXJTk3Xs2BFDhgzB4MGDsXHjRoZeIqJ8+v3333H79m0YGxtjzZo1cHJyUnVJRETFikKh9+HDh5gyZUqOc/EaGhqiT58+WLdu3RcXR0RUUvTv3x+vXr1C7969YWFhoepyiIiKHYUuTqGnp4e4uLhcb4+Li+NHckREeXj69ClGjBiB2NhYWdvEiRMZeImIColCobdZs2bYtWsX7ty5k+22v/76C4GBgbC3t//i4oiIiqOTJ0/C0dERZ8+ehZeXl6rLISIqERQa3jBjxgwMHDgQgwcPRv369VG9enUAQHh4OP7++2+ULVsW06dPV2qhRESaLiUlBYsWLcLOnTsBAE2aNIGnp6eKqyIiKhkUCr1Vq1bFiRMnsHnzZly+fBlBQUEAgEqVKmHYsGEYM2YMypYtq9RCiYg0WVhYGMaOHYv79+8DAMaPH4/p06dDR0dHxZUREZUMBQ69EokEsbGxMDY2xpw5czBnzpzCqKuE4Ty9RMXZ9evXMXToUCQmJsLMzAw+Pj5o3769qssiIipR8j2mVxAErF27FnZ2dmjTpg0aN24MDw8PvH//vhDLK4k4Ty9RcfPNN9+gbNmyaN68OYKDgxl4iYhUIN89vUeOHMEPP/yAihUronXr1nj+/DkuXLgAqVQKf3//wqyRiEjjvHz5EpUqVYJIJIKJiQkOHTqEihUrQlv7i6/+TkRECsh3T+++fftQu3ZtnDlzBhs2bMCRI0cwZMgQXLp0SW7KHSKiku7QoUNo27Ytdu3aJWurUqUKAy8RkQrlO/Q+f/4cvXr1gr6+vqxt8ODBkEqlePr0aaEUR0SkSZKSkjBlyhRMnjwZycnJuHDhAgSBY/aJiNRBvrsd4uLiYGZmJtdWpkwZAEBqaqpyqyIi0jAPHz6Eu7s7Hj16BC0tLUydOhUTJ06ESMRx+kRE6qBAn7XxzZuISJ4gCDhw4ADmzp2LlJQUVKhQAX5+fmjRooWqSyMioo8UKPSuWbMGmzdvli1LpVIAwLx582BgYCC3rkgkwokTJ5RQYknAjz+JNFVoaChmzJgBqVSKtm3bwsfHB+XKlVN1WURE9Il8h147O7sc2z8d8kBfiL3pRBqlVq1amDVrFqRSKcaPHw8tLYWu7k5ERIUs36E3MDCwMOsgItIIgiBgz549aN68OWrVqgUg8+pqRESk3jh/DhFRPiUkJGDmzJk4ceIEbGxscPLkSbkZbYiISH0x9BIR5cO9e/fg7u6OiIgIaGtro1+/ftDT01N1WURElE9qN/gsNDQUw4cPh62tLVq2bImVK1ciLS2tQPvYsWMHrK2t4ebmVkhVElFJIQgCtm/fjp49eyIiIgJVqlTBkSNH4O7uzhltiIg0iFr19MbFxcHV1RWWlpbw9fVFVFQUvL29kZKSAi8vr3ztIzo6Ghs3bkTZsmULuVoiKu4SExMxefJkBAUFAQAcHR2xdu1amJqaqrYwIiIqMLUKvfv370diYiL8/Pxkf1QkEgkWLlwINzc3VKhQ4bP7WLVqFTp06IDIyMhCrpaIijs9PT1ER0dDR0cH8+bNw8iRI9m7S0SkodRqeMPly5dhb28v14vStWtXSKVSXL169bPb37x5E+fPn8e0adMKscpCwMuUEqkNQRCQkZEBANDW1sbGjRtx7NgxjBo1ioGXiEiDfVHojYqKwsmTJ7Fz5068fv0aQGbP7Pv37yGRSAq8v7CwMNSoUUOuzdjYGObm5ggLC8tzW4lEgsWLF8Pd3R3ly5cv8H0TEb1//x5Lly7FypUrZW2VK1eGra2t6ooiIiKlUGh4gyAI8Pb2xp49e5CRkQGRSAQrKytUrFgRSUlJ6NChAyZOnIjvvvuuQPuNj4+HsbFxtnYTExPExcXlue3evXuRnJxc4PvMiyAISEpKUtr+ciNKTkbW9ewkEgnSiuA+SfmSk5PlvpNmuX37NiZNmoTXr1/j7t27+O6771CpUiVVl0UFwN9BzcdjqPmK+hgKgpDvT+EUCr1bt27Frl27MHr0aNjb22P48OGy20qXLg0HBwcEBwcrNYDmJSYmBj4+PlixYgV0dXWVtt/09HSEhIQobX+50U2ORL3//5yYmIjwIrhPKjwRERGqLoEKQCqV4ujRowgMDIRUKkWlSpUwc+ZMxMXFffafbVJP/B3UfDyGmq8oj2F+s59CoffQoUPo3bs3pk6dinfv3mW73draGpcvXy7wfo2NjZGQkJCtPS4uDiYmJrlut2HDBlhbW6NJkyaIj48HAGRkZCAjIwPx8fEwNDSEtnbBH6qOjo7sikuFSRRvCFzP/NnIyAg2NjaFfp+kfMnJyYiIiIClpSUMDAw+vwGpXExMDGbNmoVLly4ByDyHwNXVFbVr1+Yx1ED8HdR8PIaar6iP4ZMnT/K9rkKh99WrV2jYsGGutxsYGODDhw8F3m+NGjWyjd1NSEhAdHR0trG+HwsPD8eNGzdgZ2eX7TY7Ozts2bIFbdq0KXA9IpEIhoaGBd6uwNL/e1GIxWLoFcV9UqExMDAomtcNfRGJRIJhw4bh0aNH0NfXx6JFi9C7d2/8+++/PIYajsdP8/EYar6iOoYFOcFYodBbtmxZvHr1KtfbHzx4gK+++qrA+23Tpg0CAgLkxvaeOXMGWlpaaNmyZa7bzZkzR9bDm2XZsmXQ19fH1KlTYW1tXeBaiKh4E4vFmDJlCtasWQN/f3/Url27SMbwExGRaigUejt37oz9+/fD2dkZpUqVAvBf0v7tt99w9OhRjBw5ssD7HThwIAIDA+Hh4QE3NzdERUVh5cqVGDhwoNwcva6uroiMjMS5c+cAIMfhAMbGxjA0NESzZs0UeYhEVAxFR0fjxYsXsk+qevbsiS5duij1XAAiIlJPCoXeiRMn4vr16+jVqxeaNGkCkUiELVu2YMOGDbh79y5sbGzg7u5e4P2amJhg586dWLx4MTw8PGBkZIR+/fphypQpcutJpVKFpkRTX5ynl6iw/fbbb5gwYQKkUinOnTsnm9qQgZeIqGRQKPSWLl0aBw8exLZt23D27Fno6enhxo0bsLCwgIeHB0aNGgV9fX2FCqpZsyZ27NiR5zqBgYGf3U9+1lFPnPyeSJkkEgnWr1+PdevWQRAEWFtb48OHD5zPm4iohFH4MsT6+voYN24cxo0bp8x6iIiUJioqCh4eHvj9998BAIMHD8aiRYt4VjgRUQmkcOglIlJnly5dwoQJExATEwMjIyOsWLECffr0UXVZRESkIgqFXk9Pz8+uIxKJsGzZMkV2T0T0xY4cOYKYmBjUrl0bAQEBqFmzpqpLIiIiFVIo9F6/fj1bm1QqRXR0NCQSCczMzPjxIRGp1LJly2TnGSh6jgERERUfCoXeixcv5tienp6OAwcOYOfOndi2bdsXFUZEVBAXLlzAzz//jHXr1kEkEsHIyAjTpk1TdVlERKQmtJS5Mx0dHQwZMgQtW7bE4sWLlblrIqIcpaenY8mSJRg2bBgOHTqEgwcPqrokIiJSQ4VyIts333yD48ePF8auiyeB8/QSKeLly5cYO3Ysbt26BQAYMWIEevfurdqiiIhILRVK6L127RrH9CqqANeQJirJgoODMWXKFLx//x7GxsZYs2YNnJycVF0WERGpKYVCr5+fX47tCQkJuHHjBv755x+MGTPmiwojIsrNxo0bZbPDNGzYEJs2bYKFhYWKqyIiInWm1NBrYmKCqlWrYuHChRgwYMAXFUZElJsWLVpAV1cXw4cPx+zZs3kpYSIi+iyFQu+///6r7DqIiPL04sULVKlSBUBm7+6VK1dky0RERJ9T4NkbUlJSsHz58lynLSMiUqaUlBTMnTsXbdu2xYMHD2TtDLxERFQQBQ69+vr6OHDgAGJiYgqjHiIimfDwcPTq1Qs7duxASkoKfv/9d1WXREREGkqh4Q116tTBo0ePlF1LCcYpy4g+dfz4ccycORMfPnyAmZkZNmzYgA4dOqi6LCIi0lAKXZxizpw5CAoKwqFDh5CRkaHsmko4TllGJVtycjJmzpyJcePG4cOHD2jWrBmCg4MZeImI6Ivku6f3xo0bqFmzJszMzDB79myIRCJ4eXlhyZIlqFChAvT09OTWF4lEOHHihNILJqLi7eDBg9izZw9EIhEmTpyIqVOnQlu7UKYUJyKiEiTff0mGDRuGVatWoXv37jA1NYWpqSmqV69emLURUQk0ZMgQ3LhxAwMGDECbNm1UXQ4RERUT+Q69giBA+P/lcgMDAwutICIqWZKTk7Fp0yaMGzcOBgYGEIvFuc4FTkREpCh+ZkhEKvPw4UO4u7vj0aNHePPmDVasWKHqkoiIqJgq0IlsIhFPsiKiLycIAg4cOAAnJyc8evQI5cuXR69evVRdFhERFWMF6umdMWMGZsyYka91RSIR/vnnH4WKIqLiKzExEZ6enjh8+DAAoG3btvDx8UG5cuVUXBkRERVnBQq9LVq0gKWlZSGVUoIJnKeXSobHjx9j5MiRCA0NhVgsxowZM+Dh4QEtLYVmTyQiIsq3AoXe3r17o0ePHoVVCwEAh5BQMWZoaIiYmBhUrFgR/v7+aNq0qapLIiKiEoInshFRoUpLS4Ouri4AoHLlytixY4dszm8iIqKiws8UiajQ3L9/Hx06dEBwcLCszc7OjoGXiIiKHEMvESmdIAjYsWMHevTogfDwcKxZswZSqVTVZRERUQmW7+EN//77b2HWQUTFRFxcHKZPn46goCAAgIODA9auXcuT1YiISKU4ppeIlObu3bsYO3Ysnj17Bh0dHcybNw8jR47kHN9ERKRyDL1EpBTh4eHo3bs30tPTYWFhAX9/f9ja2qq6LCIiIgAMvWqC8/SS5qtevTpcXFwQGxuL1atXw8TERNUlERERyTD0qh1+DEya49atW6hatSrKly8PAFiyZAm0tbU5nIGIiNQOzywhogKTSqXw9/eHs7MzJkyYAIlEAgDQ0dFh4CUiIrXEnl4iKpDY2FhMmjQJFy9eBACULVsWaWlpMDAwUHFlREREuWPoJaJ8u379OsaNG4fXr19DX18fixYtwuDBg9m7S0REao+hl4g+SyqVws/PD6tXr4ZEIkHNmjUREBCA2rVrq7o0IiKifOGYXiL6rOTkZBw6dAgSiQR9+/bF6dOnGXiJiEijsKeXiD7LyMgImzdvxr179+Di4qLqcoiIiAqMoVcdCJynl9SLRCLBhg0bYGxsjFGjRgEAateuzd5dIiLSWAy9aocnBJFqRUVFYcKECbh69Sq0tbXRuXNnVKtWTdVlERERfRGO6SUimcuXL8PBwQFXr16FoaEh1q5dy8BLRETFAnt6iQgZGRlYs2YNfH19IQgCbGxsEBAQgFq1aqm6NCIiIqVg6CUq4aRSKb799lv89ttvAIAhQ4ZgwYIFvNgEEREVKwy9RCWclpYW2rdvj7t372LlypXo1auXqksiIiJSOoZeohIoPT0db968QeXKlQEAbm5u6NmzJypVqqTiyoiIiAoHT2RTC5yyjIrOy5cv0a9fPwwaNAiJiYkAAJFIxMBLRETFGkOvuhFxyjIqPMHBwXBwcMDNmzcRHR2Nhw8fqrokIiKiIsHhDUQlQFpaGpYvX44ffvgBAGBrawt/f39YWFiouDIiIqKiwdBLVMw9e/YM48aNw507dwAAo0ePxpw5c6Crq6viyoiIiIoOQy9RMbdo0SLcuXMHpqamWLduHRwcHFRdEhERUZFj6CUq5pYtWwapVIpFixahSpUqqi6HiIhIJXgiG1ExEx4ejoCAANly+fLlsW3bNgZeIiIq0djTS1SMnDhxAjNmzMCHDx9QuXJl9OjRQ9UlERERqQWGXnUgcJ5e+jLJyclYsGABdu/eDQBo2rQpGjdurOKqiIiI1AdDr9rhPL1UME+ePIG7uztCQkIgEokwYcIETJs2Ddra/PUmIiLKwr+KRBrs559/xtSpU5GUlIRy5crB19cXbdq0UXVZREREaoehl0iD6enpISkpCS1atICfnx8qVKig6pKIiIjUEkMvkYZJTU2Fnp4eAMDBwQF79uxB69atIRaLVVwZERGR+uKUZUQaQhAEHDhwAK1atcLLly9l7e3atWPgJSIi+gyGXiINkJiYiEmTJmHq1KmIjIzE9u3bVV0SERGRRuHwBiI1988//8Dd3R2hoaHQ0tLCjBkzMH78eFWXRUREpFEYetUC5+ml7ARBwJ49ezB//nykpKSgYsWK2LRpE5o1a6bq0oiIiDQOQ6+6EXGeXsq0f/9+zJo1CwDQoUMHbNiwAWZmZiquioiISDMx9BKpqd69e2Pnzp3o1asX3NzcoKXFIfhERESKYuglUhOCIOD06dNwdHSEWCyGgYEBTp48ySurERERKQG7jojUQFxcHNzc3DB69Gj4+fnJ2hl4iYiIlIN/UYlU7O7duxg7diyePXsGHR0dlCpVStUlERERFTsMvUQqIggCtm7diqVLlyI9PR0WFhbw9/eHra2tqksjIiIqdhh6iVTg3bt3mDZtGs6ePQsAcHJywurVq2FiYqLiyoiIiIonhl61wHl6S5rIyEj8+uuv0NXVxfz58+Hq6goRp6sjIiIqNAy9aofBpySoU6cO1q5di5o1a6JevXqqLoeIiKjY4+wNREUgNjYWI0eOxN27d2VtvXv3ZuAlIiIqImrX0xsaGoolS5bgzp07MDIyQq9evTB58mTo6urmus2bN2+wY8cOXL16Fc+ePUPp0qVhZ2eHqVOnonLlykVYPVF2169fx7hx4/D69WuEhobi4sWLvNAEERFREVOr0BsXFwdXV1dYWlrC19cXUVFR8Pb2RkpKCry8vHLd7sGDBzh37hz69u2LBg0a4N27d/D390f//v1x8uRJXrqVVEIqlcLPzw+rV6+GRCJBjRo1sGnTJgZeIiIiFVCr0Lt//34kJibCz88PpqamAACJRIKFCxfCzc0NFSpUyHG7xo0b4/Tp03IT+Tdq1Ajt2rXDsWPHMGLEiKIon0jm7du3mDhxIi5dugQAcHZ2hre3N4yMjFRcGRERUcmkVl1Oly9fhr29vSzwAkDXrl0hlUpx9erVXLczNjbOduWqihUrwszMDG/evCmscoly9PLlSzg4OODSpUvQ19fHmjVr4OPjw8BLRESkQmoVesPCwlCjRg25NmNjY5ibmyMsLKxA+woPD0dMTAxq1qypzBILh8Apy4qTr776CnXr1oWVlRWCgoIwcOBATkdGRESkYmo1vCE+Ph7GxsbZ2k1MTBAXF5fv/QiCgCVLlqB8+fLo1q2bwvUIgoCkpCSFt88vUUoyDP7/c4ZEgrQiuE9SrujoaNlY3dTUVKxYsQI6OjowNDQsktcQKUdycrLcd9IsPH6aj8dQ8xX1MRQEId8dS2oVepXF19cXf/zxB7Zu3QpDQ0OF95Oeno6QkBAlVpYz/cQw1Pn/zx8SPuBpEdwnKc/du3exZs0aNGrUCFOmTEFERISqS6IvxGOo2Xj8NB+PoeYrymOY1wxfH1Or0GtsbIyEhIRs7XFxcfm+POvBgwexceNGLF26FPb29l9Uj46ODmrVqvVF+8gPUawA3Mj8uVTpUrCxsSn0+6Qvl5GRAR8fHwQEBEAQBLx48QKJiYmoU6cODAwMPr8DUjvJycmIiIiApaUlj6EG4vHTfDyGmq+oj+GTJ0/yva5ahd4aNWpkG7ubkJCA6OjobGN9c3Lu3DksWLAAEydORL9+/b64HpFI9EU9xfmW9N+LQlusDe2iuE/6IpGRkRg/fjyuX78OABgyZAhmzZqF8PBwGBgYFM3rhgoNj6Fm4/HTfDyGmq+ojmFBzplRqxPZ2rRpg2vXriE+Pl7WdubMGWhpaaFly5Z5bnv9+nVMnToV/fv3h4eHR2GXSiXYxYsX4eDggOvXr6NUqVLYtGkTVqxYAX19fVWXRkRERLlQq9A7cOBAGBkZwcPDA7/99hsOHz6MlStXYuDAgXJz9Lq6uqJz586y5dDQUHh4eMDS0hK9evXC3bt3ZV/Pnj1TxUOhYiopKQlTp07Fu3fvULduXZw+fRq9evVSdVlERET0GWo1vMHExAQ7d+7E4sWL4eHhASMjI/Tr1w9TpkyRW08qlUIikciW//rrLyQkJCAhIQGDBg2SW7dPnz7w9vYukvqp+DM0NISPjw/Onj2L77//nr27REREGkKtQi8A1KxZEzt27MhzncDAQLllZ2dnODs7F2JVhY3z9Kqz4OBgSCQSdO3aFUDmMJw2bdqouCoiIiIqCLULvSUeL2KgNtLS0rB8+XL88MMPKFWqFOrUqQMLCwtVl0VEREQKYOglysGzZ88wbtw43LlzB0DmePOKFSuquCoiIiJSFEMv0SeCgoIwbdo0xMfHw8TEBOvWrYOjo6OqyyIiIqIvwNBL9H+CIMDLywvbtm0DADRq1Aj+/v6oUqWKiisjIiKiL6VWU5YRqZJIJIKWVuavxLhx43DkyBEGXiIiomKCPb1U4qWkpMimHps7dy4cHR3RokULFVdFREREysSeXiqxkpOTMWvWLAwaNAgZGRkAAF1dXQZeIiKiYog9vepA4Dy9Re3Jkydwd3dHSEgIRCIRrl27xrl3iYiIijH29KodztNb2A4fPoyuXbsiJCQEZcuWxZ49exh4iYiIijn29FKJkZycjHnz5mH//v0AAHt7e/j5+XH+XSIiohKAoZdKjClTpuDnn3+GSCTClClTMHnyZIjFYlWXRUREREWAoZdKjGnTpuHevXtYsWIFWrVqpepyiIiIqAhxTC8VW4mJiTh37pxs+euvv8alS5cYeImIiEoghl4qlkJCQuDk5IQRI0bg+vXrsnZtbX64QUREVBIx9FKxIggC9uzZg+7du+PJkycoX7687CprREREVHKx20stcJ5eZUhISMCsWbNw/PhxAECHDh2wfv16lC1bVsWVERERkaox9KoZQcR5ehVx//59uLm5ISIiAmKxGLNnz4a7uzt7eYmIiAgAQy8VEzdv3kRERAQqVaqETZs2wc7OTtUlERERkRph6KViwdXVFSkpKXBxcUGZMmVUXQ4RERGpGX72Sxrp7t27GDhwIOLj4wEAIpEI7u7uDLxERESUI4Ze0iiCIGDr1q3o3bs3rly5gpUrV6q6JCIiItIAHN5AGuPdu3eYNm0azp49CwDo2rUrZsyYoeKqiIiISBMw9KoDgVOWfc6tW7cwduxYvHz5Erq6uvDy8sJ3330HEWe7ICIionxg6FU7DHGfOn36NNzd3ZGRkQFLS0v4+/ujfv36qi6LiIiINAhDL6m9Zs2aoVy5crCzs8PKlSthbGys6pKIiIhIwzD0kloKDQ1FzZo1AQBmZmYICgpC+fLlOZyBiIiIFMLZG0itSKVS+Pr6on379jh48KCsvUKFCgy8REREpDCGXlIbb9++xZAhQ+Dt7Q2JRIKbN2+quiQiIiIqJji8gdTCtWvXMH78eERFRUFfXx9Lly6Fi4uLqssiIiKiYoKhl1RKIpHAx8cHa9euhVQqxddff43NmzfD2tpa1aURERFRMcLhDWqh5M7Te/fuXaxevRpSqRQuLi4ICgpi4CUiIiKlY0+v2ilZJ2s1btwYM2bMQOXKldG/f39Vl0NERETFFEMvFamMjAz4+vrC2dkZ1apVAwBMnjxZtUURERFRscfhDVRkXr16BRcXF6xevRpjx45FRkaGqksiIiKiEoKhl4rEL7/8AgcHB/zxxx8wMjLCmDFjoK3NDxqIiIioaDB1UKFKT0/HqlWrsHHjRgBAnTp14O/vL7vaGhEREVFRYOilQhMTE4MRI0bILjLh6uoKLy8v6Ovrq7gyIiIiKmkYeqnQlCpVCmlpaShdujRWr16N7t27q7okIiIiKqEYetWBUHzm6U1LS4OWlha0tbWhp6eHzZs3QxAE2UwNRERERKrAE9nUjUhz5+l99uwZnJ2dsWbNGlmbhYUFAy8RERGpHHt6SSlOnz6NqVOnIj4+HuHh4RgzZgzKlCmj6rKISAGCIEAikWjctIKpqamy71pa7NPRRDyGmk+Zx1BHRwdisVgZZQFg6KUvlJqaiiVLlmDbtm0AgIYNGyIgIICBl0gDCYKA9+/fIzo6GhKJRNXlFJhUKoW2tjYiIyMZmDQUj6HmU/YxNDU1RcWKFSFSwifhDL2ksIiICIwdOxZ///03AMDd3R2zZ8+Gjo6OiisjIkW8fv0a79+/h7GxMYyNjaGtra2UPzRFRSKRIDU1FXp6ekrtHaKiw2Oo+ZR1DAVBQFJSEt68eQMA+Oqrr764NoZeUkhKSgqcnZ0RFRUFU1NTbNiwAZ06dVJ1WUSkIIlEgri4OJibm6NcuXKqLkchWb3T+vr6DEwaisdQ8ynzGBoYGAAA3rx5g/Lly3/x/vjZASlEX18fs2bNgp2dHYKDgxl4iTRceno6BEGAkZGRqkshIpIxNDQEkPke9aXY00v5Fhoaivj4eDRs2BAA4OLign79+vG/caJiRJOGMxBR8afM9yT29KoF9Z+n9+jRo+jatStGjRqF2NhYWTsDLxEREWkChl61o169LMnJyZgxYwbGjx+PxMREVK9eXeOmMSKiksXPzw/W1tayr2bNmmHQoEG4dOlSkdfSq1cvzJ49u8jv92NHjhyRez6yvrI+tVMHISEh8PX1RXJycr63mThxIlasWJHjbT179oS1tTVu3ryZ7bbr16/D2toa9+7dy7EOa2trXL9+Xa49MTERfn5+6N69Oxo0aABbW1v069cP27dvl03RVdguXryInj17ol69enB0dMThw4fztV1oaChGjx4NW1tb2NnZYcaMGXKdV1l++eUX9OnTB3Xr1kXbtm3h4+OTbRYXiUSCLVu2oEuXLmjQoAE6duyIFStWIDExUbZOeHg4vL29Zc9Vhw4dMH/+/Gz3OW/ePMybN0+BZ0JxHN5AuXr8+DHc3d3x77//QiQSYfLkyZg8eTK0tfmyISL1pq+vj507dwLIPAkmICAA7u7u2LNnDxo1aqTi6lRj69atKF26tGxZnaYECwkJgZ+fHwYNGiQ7eSkvDx48wC+//ILz589nu+3x48d4+PAhAODnn39GkyZNvqi22NhYuLq64tWrV3B1dUXjxo0BAHfu3MEPP/wALS0tuLq6ftF9fM7Nmzcxfvx49OvXD3PmzMEff/yBuXPnwsjICF26dMl1uw8fPsDV1RUVKlTA6tWrkZKSgrVr18LNzQ0HDhyQvQbu3r2LcePGoVu3bpg6dSqePHmC9evXIzk5GbNmzZLtz9/fH/7+/pg0aRLq16+Px48fY+3atXjz5o3swlTXrl3DnTt34OLiAhsbG0RGRsLHxwd//vknjh8/Dl1dXQDA6NGj0a1bN4waNQqWlpaF9+R9hOmFcnTw4EHMmTMHycnJMDc3h6+vL1q3bq3qsoiI8kVLSwu2tray5QYNGqBt27Y4duxYiQ29derUgZmZmdL2l5aWBm1tbZWE5127dqFVq1aoUKFCttt+/vlnaGlpwc7ODmfOnMG8efO+aCrNhQsX4vnz5zh48CCsrKxk7S1atMC3336LsLAwhfedX/7+/qhfvz4WLVoEAGjevDmeP38OHx+fPEPv3r17kZCQgGPHjslmZalWrRr69euHCxcuoHPnzgAAX19f2NjYYPXq1QCA1q1bQxAErF27FiNHjpRte/LkSfTo0QNjxoyR1fHu3Tts2bIFGRkZ0NbWRrdu3eDs7AwDAwPZEMhq1aph0KBB+OWXX+Do6Chra9SoEfbs2YO5c+cWwrOWnfr8m0dqQxAEnDt3DsnJyWjdujXOnTvHwEtEGq1ChQowMzNDZGSkrO3Nmzfw9PREx44dUb9+fTg4OGDt2rVIS0uT29ba2hpbtmyBr68vWrRogWbNmsHT0xNJSUly692+fRvOzs6oV68eunfvnutwiuDgYPTq1Qv16tVDq1atsHz5crmPyLM+fr9y5QomTZqEhg0bol27dvj5558BZAa+du3aoWnTppg7d262ehXx8uVLTJw4EY0bN4atrS1Gjhwp6y3N0qFDByxatAhbtmxB+/btUb9+fbx//x5A5hCKHj16oF69emjdujXWrVsn99F4fHw85s2bh9atW6NevXpo27YtpkyZItvW09MTANCyZUs0atQozxmBkpKSEBwcLAtPHxMEASdPnkTz5s0xfPhwvH//HleuXPmi5+Xs2bMYOHCgXODNYmpqWuj/RKWlpeH69evZwq2TkxNCQ0Px4sWLXLf9559/8M0338hNQ1ivXj2Ympri4sWLsraQkBC0bNlSbttWrVohPT0dv/32m6wtIyMDpUqVkluvdOnSEIT/zk0yNTXNdvJZ7dq1AUA2526WLl264Oeffy6yYZPs6aVsRCIRVq9ejaZNm2LEiBE8WY2INF5iYiLi4uJQpUoVWdu7d+9gamoKT09PGBsbIyIiAr6+voiOjsby5cvltt+zZw8aN24Mb29vREREYOXKlShbtiymT58OAIiOjsbIkSNhbW2N9evXIz4+HgsXLkRSUhJsbGxk+7lw4QImTpyIbt26Ydq0aQgLC8O6devw6tUr+Pj4yN3nggUL0KdPHwwYMAAHDx7EzJkz8e+//+Lx48ey3kdvb29UrVoV7u7un30OpFKpXLgQi8UQiUT48OEDhg4dCi0tLSxcuBB6enrw9/fHkCFDcOLECbmLAgQHB6NatWqYO3cutLS0YGhoiO3bt2PVqlVwdXXF7NmzERoaKgu9Wc/P8uXLceXKFUybNg2VK1dGdHQ0Ll++DABo164dxo4dC39/f/zwww/Q1dXNFqw+dvfuXSQlJcmGGXzs9u3bePnyJTw8PNCqVSuYmpri5MmT6NChw2efn5zcvHkTgiAo3PGTdUnvz8k6Fjl59uwZ0tPTUaNGDbn2mjVrAgDCwsLkXtcfS01NlQ0n+Jiurq5cD3VO62Uth4aGytr69++PH3/8UfaPYmhoKAIDAzFw4MA8hz7eunVLruYsjRo1wrt37xASEoJ69erlur2yMPQSBEHAvn378Oeff2LdunUQiUQwMTHB6NGjVV0aEZHCsgLemzdvsGrVKhgZGWHYsGGy262treXGKzZq1AgGBgaYPXs2vLy85MaWmpuby8YstmnTBv/88w/Onj0rC3U7d+6ESCTCli1bZONmK1asiO+++06uJj8/P9ja2srty8DAAF5eXnj48CGsra1l63bp0gXjx48HANSvXx/nzp3DqVOncO7cOdnH9X/++SfOnDmTr9D7aU/epEmTMG7cOBw5cgSRkZE4deqULJTY2dmhffv22Llzp9yJeOnp6diyZYts7tQPHz7Ax8cHo0aNwtSpU2X3o6OjA29vb4wcORJlypTBvXv30L17d/Tp00e2r27dugEAzMzMYGFhASBzCIaBgQH09fVzfRz37t2DoaEhqlatmu22kydPQk9PDw4ODtDR0YGjoyNOnDiBxMREheagjoqKAqD41cD+/PNPuddcbnbt2oVmzZrleFtcXBwAwNjYWK49aznr9pxYWlriyJEjSElJkT2nkZGRiI6Olh1DIHOoQdbVVbPcvXs32/7d3NyQlpaG4cOHy3p3e/bsiTlz5uRaQ2pqKlasWIHatWvD3t5e7rZatWpBLBbj77//ZugtOVQ3ZdmHDx8wa9YsHDt2DEDmxyUODg4qq4eI1NDDQ8A1LyAtoejvW7c00HIxYNWvQJslJSWhTp06smWxWIxNmzbJ9ZYJgoCdO3fi4MGDePHihdwQg+fPn2cbv/mxmjVr4tSpU7Llv/76C82aNZM7Ucze3h6mpqay5cTERISEhMgFbSDzfdfLywu3bt2SC70fh9TSpUvDzMwMTZo0kRufamlpmW2mgdzs2LFDrgc1azzszZs38fXXX8v1wpmamqJFixayHroszZo1kwtLd+7cQVJSErp06SLXi9yiRQukpKTg8ePHaNq0KWrXro2jR4/C3NwcrVu3znGoQH5FR0ejTJky2dozMjJw5swZtG3bVnYcevTogQMHDuDcuXPo3bu3wvep6FyxderUwU8//fTZ9apXr67Q/j+nf//+2LVrF7y8vDBt2jSkpKTg+++/h5aWltxjGjx4MObOnYudO3eiV69eshPZPv2kd/fu3di1axc8PT1Ru3ZtPH78GBs2bMDixYsxf/78HGuYP38+Xrx4gf3792d7HrW1tVG6dOlswx4KC0OvuinCieHv378Pd3d3hIeHQywWY9asWbyyGhFld3MVEPuv6u7/xqoCh159fX3s3r0bgiAgIiICa9aswaxZs/Dzzz+jfPnyADJ7Z1esWIFRo0ahWbNmMDY2xr1797Bo0aJs01B92sumo6MjN5Y2Ojoa1apVy1bHxyeOJSQkQBAElC1bVm6d0qVLQ1dXN1uP3ccBGsj8uPlzdeTF2to6xxPZ4uPjc7z0dNmyZfH48eNsbR979+4dAMj14H7s1atXAIDvv/8eJiYm2L59O1auXImvvvoKY8aMweDBg/NV+8dy+8j+6tWriI2NRfv27REfHw8AsLKygrm5OU6ePCkLvVlBTiqVZttH1lCErI/qs/4xePXqlULB1MjISG54S27yGkZoYmICIPP187Gsx5h1e05q1KiBpUuXYunSpTh+/DgAwMHBAW3atJGbZszZ2RmPHj3CypUrsWzZMujo6GD8+PHYuXOn7Pfl3bt3WLFiBWbOnImhQ4cCyPxEoFSpUpgxYwaGDRuW7Tlat24dfv75ZwQEBOT6j46urm6RTfvG0FsCCYKAXbt2YeHChUhNTcVXX30Ff39/2NnZqbo0IlJHdjOBq9+rrqfXbkaBN9PS0pJ9XFq/fn1Ur14dAwYMwMaNG7Fw4UIAwJkzZ9ChQwdMmzZNtt3H4xcLwtzcHDExMdnaP56btHTp0hCJRNnmK01ISEBaWlqe4aUwmZiYIDw8PFt7TExMtpo+7anLut3Pzw8VK1bMto+ssaalS5fG3LlzMXfuXDx8+FD2N8jKyqrAU4qZmJhkC4AAZCf6eXp6yk6My/Lu3TvExMSgbNmysuAfHR2dbR9ZPY5Z4d7Ozg4ikQhXrlzJ1tufH8oY3mBhYQEdHR2EhYXJjS3OGpP76VjfT/Xu3RtOTk6IiIiAiYkJKlSogG7dusmNc9bS0sKcOXMwYcIEvHz5EpUqVUJGRgbWrVuHBg0aAMj89CMtLS1biM86Se3Zs2dyoXf37t3YvHkzvL298xwTnZCQIPeJSGFi6C2BvLy8sG3bNgBAp06dsG7dOqVOY0NExYxVvwL3tKqbevXqoVu3bjhy5AjGjx8Pc3NzpKSkZJvKKis4FVT9+vWxb98+JCQkyHpof//9d9nsBsB/vX5nzpyRG+t7+vRpAMjxxKyi0LhxY5w9exZhYWGyABUXF4dr167BxcUlz20bNmwIAwMDvH79Wjb91edYW1vD09MTP/30E0JDQ+WGbKSmpn52nt7q1asjNjYWSUlJsqEWycnJuHDhAjp16pQtZL59+xZTp05FUFAQhg4dCktLS5ibm8vW/9j58+dhbm4u67WvVKkSHB0dsX//fvTt2xe1atWSWz8+Ph6hoaG5XuhDGcMbdHV10axZM5w9e1ZuPuCgoCDUrFkz15PYPt1HVk/r77//joiIiBx750uXLo1vvvkGALBhwwZUqVJFFvYrVaoEIHOO5I//Ubl//z4AyNVx5swZLF++HFOnTs1zWElsbCySk5MLbXjHpxh6S6Bu3bph7969mDlzJsaMGaPU61oTEamrcePGISgoCDt37sT06dPRokUL7Nq1C7t374alpSVOnDiBp0+fKrRvV1dX7N27F6NHj8bo0aMRHx8PX1/fbD1Y48ePh4eHB6ZPn46ePXsiPDwc69atg6Ojo9x43qLk7OyMHTt2wM3NDZMnT5bN3qCtrf3Ziy4YGxtj4sSJWLVqFV6/fo2mTZtCLBbj+fPnuHDhAnx9fWFgYICBAweic+fO+PrrryEWi3Hs2DHo6OjIwlPWeOK9e/eidevWMDExyXVYQKNGjSCVSvHPP//Itr9w4QKSkpIwdOjQHHtMt27dipMnT8pmqZg4cSK+//57iMVidOzYUbaPw4cPY8mSJXJ/F+fPn49hw4Zh0KBBchen+Ouvv7B7926MHj0619BbqlQppZygNXbsWAwbNgwLFixA165dcf36dZw8eRLr1q2TW6927dro3bs3li1bBiBzbLuvry/s7Oygp6eHu3fv4ocffsD48ePleoj//vtv/Pnnn7CxsUFKSgouXryI48ePY8uWLbKhF+XKlUOnTp2wYcMGSCQS1K5dG0+ePJFN5Zd1DG/cuAEvLy80a9YMTZs2lZ0QB2Se3PnxJwJZV8Urqn/4GHpLAEEQEBoaKvsPtXnz5vjjjz9gbm6u4sqIiIpOjRo14OTkhH379sHNzQ0eHh549+6dbKowR0dHzJs3L18zIXyqfPny2LJlC5YsWYJJkybBwsICXl5e2UJJx44dsWHDBmzcuBHjxo2DqakpBgwYIDfEoqiVKlUKgYGB8Pb2xvfffw+pVIpGjRph9+7d+Zq1YMSIEahQoQK2b9+O3bt3Q1tbGxYWFmjXrp2sB7dRo0Y4duwYXrx4AS0tLVhZWSEgIEAWlGrXro0JEybg0KFD2LZtGypWrIhffvklx/urXr06rKyscOXKFVnoPXnyJCpVqpTrEIGsIPjs2TNYWFhgwIABMDIywvbt22W9+7Vq1cKaNWvQvXt3uW3NzMywf/9+7NixA6dPn5Zdha1WrVoYNWoUBg4cmL8n+gs0adIEvr6+WL9+PX766SdUqlQJS5YsQdeuXeXWk0gkcmOVtbS08OjRIxw5cgRJSUmoUaMG5s+fD2dnZ7ntdHR0EBwcjI0bNwLIvJhLYGBgtjC/YsUKbNy4Efv27UNUVBTMzc3Ro0cPTJgwQbbO9evXkZGRgT/++CPbJwXjx4+XWzfrGOY0prwwiISPZxQmmaz/PopiCg1E3QJ2Z/7iptd1g45jgNJ2/f79e0yfPh2XLl3C6dOns300Q8qTlJSEkJAQ2NjYyJ3dTJqjJB/DlJQUhIeHo3r16nlOF6XOJBKJbGomzi+umfJ7DAMDA7Fr1y4EBwfz00o1k99jmJGRgXbt2mH69Ol5DoH43HtTQfIar8hWjN2+fRuOjo44ffo0MjIy8ODBA1WXRERE9MX69+8v+xieNNPJkydhZGSUrWe9MDH0qgMld7ZLpVIEBASgT58+ePHiBapVq4bjx4+jV69eSr0fIiIiVdDX14e3tzfS09NVXQopSCQSYenSpXleyU3ZOKZX7XzZxzSxsbGYPHkyLly4ACBzYu6VK1dmm9uRiIhIk316hTnSLKroiGPoLWZ2796NCxcuQE9PDwsWLMDQoUM53omIiIhKPIbeYmbcuHEIDQ3F6NGjUbduXVWXQ0RERKQWOKZXw719+xYLFy6UXYZSW1sbGzZsYOAlIiIi+gh7ejXY77//Dg8PD0RFRUEsFmPevHmqLomIiIhILbGnVwNJJBKsW7cOAwYMQFRUFL7++mv066fZlwglIiIiKkzs6dUwb968wYQJE/Dbb78ByJyrcNmyZSVuIn0iIiKigmDoVQv5m6f3xo0bGD16NKKjo2FgYIBly5ZhwIABhVwbERERkeZj6FU3eUwvVq5cOSQnJ+Obb75BQEAAvv766yIsjIhIM/j5+WHTpk2yZVNTU9SoUQPu7u5o27ZtkdbSq1cv2NjYwNvbu0jvNyd37tzB9u3bcfv2bbx//x5GRkawtraGk5MTnJ2doaurq+oSiQqV2o3pDQ0NxfDhw2Fra4uWLVti5cqVspkJ8iIIAn744Qe0a9cO9evXh4uLC+7evVv4BRey5ORk2c/Vq1fHvn37cPLkSQZeIqI86Ovr48CBAzhw4AAWL16M1NRUuLu74/bt26ouTSX27t2LwYMH4927d5g+fTq2b9+OpUuXwtLSEkuXLsWRI0dUXSJRoVOrnt64uDi4urrC0tISvr6+iIqKgre3N1JSUuDl5ZXntlu2bIGPjw+mT58Oa2tr7NmzByNGjMDx48dRtWrVInoEyvXrr79i8uTJ8PHxQZs2bQAAjRo1UnFVRETqT0tLC7a2trLlBg0aoG3btjh27FiJex/9999/sXTpUvTu3RvLli2Tu2BRp06dMGLECLx69UqFFRIVDbXq6d2/fz8SExPh5+eH1q1bo1+/fpgxYwb279+PqKioXLdLTU3F5s2bMWLECHz33Xewt7fH2rVrYWpqih9//LEIH4FyZGRkYPny5fj2228RHR2NzZs3q7okIiKNVqFCBZiZmSEyMlLW9ubNG3h6eqJjx46oX78+HBwcsHbt2myfLlpbW2PLli3w9fVFixYt0KxZM3h6eiIpKUluvdu3b8PZ2Rn16tVD9+7dcenSpRxrCQ4ORq9evVCvXj20atUKy5cvR2pqquz269evw9raGleuXMGkSZPQsGFDtGvXDj///DMAYNeuXWjXrh2aNm2KuXPnfvbT0F27dkFLSwuzZs3K8QqdlpaWsLe3ly0PHToUbm5ucuuEhITA2toa169fl7UJgoAff/wRjo6OqFu3Ljp27IgdO3bIbff69WtMmjQJLVq0QL169dChQwcsW7Ys19s7d+6M1atX5/l4iBSlVj29ly9fhr29PUxNTWVtXbt2xfz583H16lU4OzvnuN3t27fx4cMHdO3aVdamq6uLzp0749y5c4VdtlJFxiRjUr9+uHHjBgBg2LBhmD9/voqrIqKS7tOA9zEtLS3o6+vna12RSAQDAwOF1v0SiYmJiIuLQ5UqVWRt7969g6mpKTw9PWFsbIyIiAj4+voiOjoay5cvl9t+z549aNy4Mby9vREREYGVK1eibNmymD59OgAgOjoaI0eOhLW1NdavX4/4+HgsXLgQSUlJsLGxke3nwoULmDhxIrp164Zp06YhLCwM69atw6tXr+Dj4yN3nwsWLECfPn0wYMAAHDx4EDNnzsS///6Lx48fY+HChXj+/Dm8vb1RtWpVuLu75/rY//zzT9StW1fub6syLF26FIcOHYK7uzsaNGiA27dvY/Xq1dDT08OgQYMAADNnzsSbN28wb948lC1bFq9evcL9+/dl+/j09pcvX+Kvv/5Sap1EWdQq9IaFhaFv375ybcbGxjA3N0dYWFie2wFAjRo15Npr1qyJnTt3IiUlRe4NWV2dD9PDpM2/4H1iOkqXLo2VK1eiZ8+eqi6LiCjP8wg6dOiAwMBA2XL9+vXlzkf4mL29PX766SfZcrNmzRAbG5vjug0aNEBQUJCCFWd+agZk9uiuWrUKRkZGGDZsmOx2a2trzJo1S7bcqFEjGBgYYPbs2fDy8pIL3Obm5lizZg0AoE2bNvjnn39w9uxZWejduXMnRCIRtmzZgtKlSwMAKlasiO+++06uJj8/P9ja2srty8DAAF5eXnj48CGsra1l63bp0gXjx48HkPmcnjt3DqdOncK5c+ego6MDIDPQnjlzJs/Q++bNG9SvXz/X5wfI/MdFSyv/H/4+e/YMu3fvxsKFC+Hi4gIAaNGiBVJSUrBx40a4uLhAS0sL9+7dw9SpU+Hk5CTbtnfv3rKfP71dIpHA0dEx33UQFYRahd74+HgYGxtnazcxMUFcXFye2+nq6kJPT0+u3djYGIIgIC4uTqHQKwhCnr0QyqKVkoJ/X+vA9VhZAOmoW7cu1q9fj2rVqhXJ/ZNyZP2Rz+2PPam/knwMU1NTIZVKIZFIIJFICrx9frcRBKFQ1s1aP0tSUhLq1KkjWxaLxfDz80O1atVk+xQEAYGBgTh48CBevnwpN8Tg6dOnckHf3t5erpYaNWrg1KlTsra//voLTZs2haGhoaytadOmMDExkT2OxMREhISEYMaMGXL7cnR0hJeXF27evIlatWpBKpUCAJo3by5bz9DQEGZmZmjcuDG0tLRk7RYWFrh+/Xq+nqeP17l//77clJdt27aFv7+/7Hn59LnP+jnrNZI1V3ynTp3knrdmzZphy5YtePHiBSpXrgwbGxv8+OOP0NLSgr29PapVqyZX06e3W1hYyGpQ5HVIqpf1e6isYyiRSCCVSpGcnCz73fj0/nIatpMTtQq96iY9PR0hISGFfj86qR9Qv4IEfW2SIK5QHy4TMj8SK4r7JuWLiIhQdQn0hUrqMdTW1pYLMB/LazYcsViMlJQU2fLvv/+e67paWlpy6168eDHf6+ZXRkYG9PX1sXXrVkilUjx79gy+vr6YPXs2Dh48CHNzcwDA7t27sX79eri6uqJJkyYwNjbGgwcP4O3tjYSEBLn7NjAwyFZLWlqarO3Nmzdo2LBhtnXKlCkDiUSClJQUvH37FoIgwNjYWG49HR0d6Orq4u3bt0hJSZGN0dXX15dbT1tbG4aGhnJtIpEIqampeT5P5ubmiIyMlFuncuXK2L17NwBgyZIlshqB/4Ltx+tn1ZT1mKOjoyEIAlq0aJHjfT579gxly5bFsmXLsHHjRqxfvx6LFi2CpaUlPDw80LFjRwD47O2kuXJ7L1FkPxkZGXl+4p/f6fbUKvQaGxsjISEhW3tcXBxMTEzy3C4tLQ2pqalyvb3x8fEQiUR5bpsXHR0d1KpVS6FtC8YGiXpbMLPaHzBs5Ql9kwpFcJ+kbMnJyYiIiIClpaXSxiFS0SrJxzA1NRWRkZHQ09PL8ZOxgnxaVljrfo4gCEhNTYW2tjZEIpFsloYmTZrAysoKAwcOxLZt22TnSVy8eBHt27fHjBkzZPt4/vw5gMw/oh/Xpq2tLbecNbwgq618+fJ4//59tsfz7t07iMVi6Ovro1y5chCJREhISJBbLyEhAWlpaShXrhz09fVlf8A/rUEkEmWrQ1tbW66OnDRt2hSnTp1Camqq7O+hvr4+ypQpAwAoXbq0rEYgM+BLpVK5fWYF4Kyash7L7t27Zc/Fx6pXrw59fX1UrVoV3t7ekEqlePDgAQICAuDp6YlTp06hatWqud5+8uRJWa8vaZas30M9Pb1898B+jra2NiwsLLJ9og8AT548yf9+lFKNktSoUSNbkk9ISEB0dHS28bqfbgcA4eHh+Oabb2TtYWFhqFSpksJvqiKRqMgu75tkMxBRaAAbkwq8pLCGMzAw4DHUcCXxGGaN6RSLxRCLxaouRyEff5QqEonkHkeDBg3QrVs3HD16FBMmTIC5uTlSU1Ohq6srt96pU6cAQPZcZPl0OeuPeVZb/fr1sW/fPiQlJcnG9P7++++Ii4uT1WJsbAwbGxsEBwdjxIgRsn0FBwcDyAznYrFYNrY2p/v89HFpaWlla/uUq6srTpw4gTVr1mDp0qXZbv90vxUrVsS1a9dk+856LB/XlNXDGx8fjw4dOuR631nEYjFsbW0xZcoU/PLLL3jx4gUsLS2z3T5p0iT88ssveP78OapXr/7Z/ZL6yfo9/NzrMr+yficMDAxyzHMFCdZqFXrbtGmDgIAAubG9Z86cgZaWFlq2bJnrdo0aNUKpUqVw+vRpWehNT09HcHCwbH5bIiIq2caNG4egoCDs3LkT06dPR4sWLbBr1y7s3r0blpaWOHHiBJ4+farQvl1dXbF3716MHj0ao0ePRnx8PHx9fbPNmDB+/Hh4eHhg+vTp6NmzJ8LDw7Fu3To4OjrKncSmTN988w3mzp2LxYsX4/nz53B2dkaVKlWQmJiI+/fv4+HDh2jVqpVsfUdHR/z0009YvHgxOnXqhNu3b+Ps2bNy+6xevTq+/fZbzJw5EyNHjkSDBg2Qnp6OiIgIXL9+HZs2bUJCQgJGjhyJXr16oXr16khPT0dgYCCMjY1Ru3btHG/ftWsXSpcujdq1axfKc0Elm1qF3oEDByIwMBAeHh5wc3NDVFQU/tfe/UfFnO9/AH9Ok9IPlYTWjy5xZmqRtORHbhI2lWW5FBtryWqPFttiFU7XLrsHy7pK1LXU+rGDvav1KxFLKNzdi1uHPdYi9wpF0RT9nvf3D9/mNqYfTE1qPB/ndI55z+f9+bw+8zLTq/e8P+/PmjVrMHnyZHTs+L+v/KdPn467d++qlyMzNTVFSEgIoqOjYWtrC5lMBoVCgcePHyM4OPhVnQ4RETUjjo6O8PPzg0KhQEhICEJDQ/Ho0SP1UmE+Pj5YtmxZnSsh1KZDhw7YsmULVq5cifnz58PBwQGRkZFYv369xnYjRozAhg0bEBMTgzlz5sDGxgYBAQFYsGBBo5xjbd577z04OTkhPj4eX3/9tfo2xE5OTggLC9NYOcnT0xOLFi3Czp07kZiYCE9PT3z++edaK1EsW7YM3bt3x549exATEwMLCwt0794do0ePBvDsd7NMJsOOHTtw7949tG7dGr1798bWrVtha2uLsrIyred79eqFTZs2qadeEDUmiah+uWszcOPGDaxYsQKXLl2ChYUFxo0bh7CwMI1JytOmTUN2drbGBRBVtyH+/vvvkZ+fD2dnZ0RERKBfv346xZGZmQkA6NOnT8NO6AVVXbjm7Oz82n2taiiYw5bvdc5hSUkJbt26pZ6L2RJVXXzVunXrFjtF43XHHLZ8jZ3D+j6bXqZea1YjvcCztXWfv6PL86qvB1lFIpEgJCRE6y4yRERERETN6jbERERERET6wKKXiIiIiAwei14iIiIiMngseomIiIjI4LHoJSIitWa2oA8RveYa8zOJRS8REaFVq1aQSCR48uTJqw6FiEjt6dOnAFDj7a5fVrNbsoyIiJqeVCqFtbU1Hjx4gNLSUlhZWcHY2PilbvH5qlVWVqK0tBQAuMZrC8UctnyNlUMhBJ4+fYrc3FzY2Ng0yv8HFr1ERAQAsLe3h5mZGXJzc6FUKl91OC9NpVKhoqICxsbGMDLiF5ktEXPY8jV2Dm1sbGBvb98IkbHoJSKi/yeRSGBjYwNra2tUVlaioqLiVYf0UoqLi3Hz5k04ODjAzMzsVYdDOmAOW77GzGGrVq0adcSfRS8REWmQSCQwNjaGsXHL+hWhUqkAAKampi32VsqvO+aw5WvOOeR3B0RERERk8Fj0EhEREZHBY9FLRERERAZPIrgSeY0uXrwIIQRMTEya5HhCCJSXl6vXyqSWhzls+ZjDlo35a/mYw5avqXNYVlYGiUQCNze3erdtWVcpNKGmfrNJJJImK7BJP5jDlo85bNmYv5aPOWz5mjqHEonkhWs2jvQSERERkcHjnF4iIiIiMngseomIiIjI4LHoJSIiIiKDx6KXiIiIiAwei14iIiIiMngseomIiIjI4LHoJSIiIiKDx6KXiIiIiAwei14iIiIiMngseomIiIjI4LHoJSIiIiKDx6KXiIiIiAwei94mcOPGDcyYMQOurq7w8PDAmjVrUFZWVm8/IQT+/ve/w8vLCy4uLggMDMTly5f1HzBp0SWHubm5WLNmDcaNG4d+/frB09MTCxYsQHZ2dhNFTdXp+j6sLiEhAXK5HCEhIXqKkmrTkPzl5ORg8eLFGDRoEFxcXODr64sDBw7oOWJ6nq45fPToESIjI+Hl5QVXV1eMGTMGCoWiCSKm6m7fvo3IyEiMGzcOb775JsaMGfNC/ZpTLWP8So76GikoKMD06dPRrVs3REdHIycnB6tWrUJJSQkiIyPr7LtlyxZERUVh4cKFkMvl2LVrF2bOnIn9+/eja9euTXQGpGsOr1y5gpSUFPzlL39B37598ejRI2zevBmTJk3CoUOHYGtr24Rn8XpryPuwyoMHDxATE4N27drpOVp6XkPyl5ubi8DAQHTv3h0rVqyApaUlrl+//tJ/8FDDNCSH8+fPx82bN/Hpp5/ijTfewOnTp7F8+XJIpVIEBAQ00RnQ9evXkZqair59+0KlUkEI8UL9mlUtI0ivYmNjhaurq3j06JG6bffu3cLZ2Vncv3+/1n4lJSXCzc1NrFu3Tt1WWloqhg8fLv7617/qMWJ6nq45LCgoEOXl5Rpt9+7dE3K5XGzdulVf4VINdM1hdYsWLRKfffaZmDp1qpg9e7aeIqWaNCR/CxcuFIGBgaKiokLPUVJddM1hbm6ukMlk4scff9RoDwoKEu+//76+wqUaVFZWqv+9ePFi4e/vX2+f5lbLcHqDnp0+fRqDBw+GjY2Nus3X1xcqlQppaWm19rt48SKKiorg6+urbjMxMcGoUaNw+vRpfYZMz9E1h1ZWVjA21vwyxd7eHra2tsjNzdVXuFQDXXNY5ddff8Xx48exYMECPUZJtdE1f0VFRThy5Ajee+89SKXSJoiUaqNrDisqKgAAbdq00Wi3tLR84ZFGahxGRi9fMja3WoZFr57dvHkTjo6OGm1WVlZo3749bt68WWc/AFp9e/Togbt376KkpKTxg6Ua6ZrDmty6dQt5eXno0aNHY4ZI9WhIDisrK7FixQp89NFH6NChgz7DpFromr8rV66gvLwcxsbGmDp1Knr16gUPDw98/fXXKC8v13fYVI2uOXzjjTcwdOhQxMbG4o8//kBRURGSkpKQlpaGoKAgfYdNDdTcahnO6dUzpVIJKysrrXZra2sUFBTU2c/ExASmpqYa7VZWVhBCoKCgAK1bt270eEmbrjl8nhACK1euRIcOHeDv79+YIVI9GpLD77//HsXFxfjggw/0FB3VR9f8PXz4EACwbNkyBAQE4OOPP0ZGRgaioqJgZGTEkfsm1JD3YHR0NMLCwtSfm1KpFMuWLYOPj49eYqXG09xqGRa9RE0kOjoa58+fx7fffgtzc/NXHQ69gLy8PERFRWH16tUwMTF51eHQS1KpVACAIUOGIDw8HAAwaNAgPHnyBNu2bUNoaCgHD5o5IQQiIiKQlZWFdevWoX379khPT8dXX30Fa2trDiDQS2HRq2dWVlYoLCzUai8oKIC1tXWd/crKylBaWqrxF5JSqYREIqmzLzUuXXNY3d69exETE4Mvv/wSgwcPbuwQqR665nDDhg2Qy+Xo378/lEolgGdzDCsqKqBUKmFubq41b5saX0M+R4FnhW51gwcPRmxsLG7fvg25XN64wVKNdM3hqVOnkJycjAMHDqhzNXDgQOTl5WHVqlUsepu55lbLcE6vnjk6OmrNVyosLMSDBw+05rg83w94Nge0ups3b6JTp04cnWhCuuawSkpKCpYvX4558+Zh4sSJ+gqT6qBrDm/duoVffvkFAwYMUP9cvHgRZ8+exYABA5Cenq7v0Am6569nz5517re0tLRR4qP66ZrDP/74A1KpFDKZTKPd2dkZubm5KC4u1ku81DiaWy3DolfPPD09kZ6erh4lAoDk5GQYGRnBw8Oj1n5ubm6wtLTEkSNH1G3l5eU4duwYPD099RozadI1hwBw4cIFfPrpp5g0aRJCQ0P1HSrVQtccLlmyBNu3b9f4cXJygqurK7Zv3w4XF5emCP+1p2v+OnfuDJlMpvXHSXp6Olq3bl1vUUyNpyE5rKysxLVr1zTar1y5gnbt2sHMzExvMVPDNbdaht/L6dnkyZOxY8cOhIaGIiQkBDk5OVizZg0mT56Mjh07qrebPn067t69i5SUFACAqakpQkJCEB0dDVtbW8hkMigUCjx+/BjBwcGv6nReS7rm8MaNGwgNDUW3bt0wbtw4jTvQ2NrawsHBoalP5bWlaw6dnZ219mVlZQVzc3MMHDiwyeJ/3emaPwAICwvDnDlz8OWXX8LLywuZmZnYtm0bgoODObe+CemaQ09PT3Tq1Anz5s1DaGgoOnTogLNnzyIxMRFz5859VafzWiouLkZqaioAIDs7G0VFRUhOTgYAuLu7w9bWttnXMix69cza2hrfffcdVqxYgdDQUFhYWGDixIkICwvT2E6lUqGyslKj7cMPP4QQAtu2bUN+fj6cnZ2xdetW3o2tiemaw3//+98oLCxEYWEhpkyZorHt+PHjsWrVqiaJnxr2PqRXryH58/b2xjfffINNmzZBoVCgQ4cOmDt3LmbPnt2Up/Da0zWHlpaWSEhIwPr167F27VoUFhaiS5cuCA8Px9SpU5v6NF5reXl5mD9/vkZb1ePt27dj4MCBzb6WkQiu7kxEREREBo5zeomIiIjI4LHoJSIiIiKDx6KXiIiIiAwei14iIiIiMngseomIiIjI4LHoJSIiIiKDx6KXiIiIiAwei14iIjy7ZbRcLseFCxdedSh6JZfLER0d/ULbent7Izw8XM8RERE1Dd6RjYhatH379iEiIqLG5z788EMsXLiwiSN6cc/HbmJigk6dOsHDwwNz5syBnZ2d3mO4ePEi0tLSMH36dFhZWen9eC/C29sb2dnZ6sdmZmbo2bMnpk6dinfffVenfaampiIjI4O3riV6jbHoJSKDMG/ePHTp0kWjTSaTvaJoXk5V7GVlZfjXv/4FhUKB1NRUHDp0CGZmZo16rIyMDEilUvXjS5cuYePGjRg/frxW0ZucnAyJRNKox39Rzs7OmDFjBgDgwYMH+OGHH7B48WKUlZUhICDgpfeXmpqKXbt2segleo2x6CUig+Dp6Yk+ffq86jB0Uj32SZMmwcbGBvHx8Thx4gTGjBnTqMcyNTV94W1NTEwa9dgvo2PHjhg3bpz68YQJEzBixAgkJCToVPQSEXFOLxEZtOzsbCxfvhw+Pj5wcXHBwIEDMW/ePNy5c6fevllZWZg7dy48PDzQp08feHp6IiwsDIWFhRrb7d+/HxMmTICLiwvc3d0RFhaGe/fu6RzzoEGDAEAdY0VFBWJiYjBy5Ej07t0b3t7e+Oabb1BWVqbRLzMzE8HBwRg4cCBcXFzg7e2tNfWj+pze6OhorFmzBgAwYsQIyOVyyOVy9XGrz+nNzMyEXC5HYmKiVrxnzpyBXC7HyZMn1W05OTmIiIjAkCFD0Lt3b/j7++Mf//iHzq+Jra0tHB0d8Z///Eej/ddff8W8efPg5eWF3r17Y9iwYfjqq69QUlKi3iY8PBy7du1Sn3/VTxWVSoWEhAT4+/ujT58+GDJkCCIjI1FQUKBzvETU/HCkl4gMQlFREfLz8zXabG1tkZmZiUuXLsHf3x/29vbIzs6GQqHA+++/j8OHD9c6faCsrAzBwcEoKyvD1KlTYWdnh5ycHJw6dQpKpRJt2rQBAGzevBkbNmyAr68vJk6ciPz8fOzcuRNBQUH46aefdJonW1XY2djYAACWLVuGxMRE+Pj4YMaMGcjIyEBcXBxu3LiBmJgYAEBeXh6Cg4PRtm1bzJ49G1ZWVrhz5w5SUlJqPc6oUaOQlZWFQ4cOISIiAm3btlW/bs/r06cPunbtiiNHjmD8+PEazyUlJcHa2hpDhw4FADx8+BABAQGQSCQICgqCra0tTp8+jaVLl6KoqAgffPDBS78mFRUVyMnJgbW1tUZ7cnIySkpKMGXKFNjY2CAjIwM7d+7E/fv3ERUVBQAIDAxEbm4u0tLS1EV+dZGRkUhMTMSECRMwbdo03LlzB7t27cLVq1ehUCjQqlWrl46XiJohQUTUgv34449CJpPV+COEEMXFxVp9Ll26JGQymUhMTFS3nT9/XshkMnH+/HkhhBBXr14VMplMHDlypNZj37lzRzg7O4vNmzdrtF+7dk28+eabWu21xZ6eni7y8vLEvXv3xOHDh4W7u7twcXER9+/fF7/99puQyWRi6dKlGn1XrVolZDKZOHfunBBCiJSUFCGTyURGRkadx5TJZCIqKkr9+NtvvxUymUz897//1dp2+PDhYvHixerH69atE7169RKPHz9Wt5WWlor+/fuLiIgIdduSJUuEh4eHyM/P19hfWFiYeOutt2rMyfPHnTlzpsjLyxN5eXni2rVrYtGiRUImk4nPP/9cY9ua9hUXFyfkcrnIzs5Wt33++efq/xPV/fLLL0Imk4kDBw5otJ8+fbrGdiJquTjSS0QGITIyEt27d9dqb926tfrf5eXlKCoqgoODA6ysrHD16tVaVwOwtLQEAJw9exbDhg2rcUQ4JSUFKpUKvr6+GqPMdnZ2+NOf/oQLFy7go48+qjf250c+O3fujLVr16Jjx4746aefAEB9UVeVmTNnYtu2bUhNTcWgQYPUI8+nTp2Ck5OTXkYn/fz8EBcXh2PHjmHSpEkAgLS0NCiVSvj5+QEAhBA4duwYfH19IYTQeF2GDh2Kw4cP48qVK3jrrbfqPNbZs2cxePBgjbYJEybgs88+02irnt+nT5+ipKQE/fr1gxACV69eRadOneo8TnJyMtq0aQMPDw+NWHv16gVzc3NcuHAB77zzTp37IKKWgUUvERkEFxeXGi9kKykpQVxcHPbt24ecnBwIIdTPPT83t7quXbtixowZiI+Px8GDB9G/f394e3tj7Nix6gIzKysLQgi8/fbbNe7D2PjFPmKrCnapVAo7Ozt0794dRkbPLrnIzs6GkZERHBwcNPq0b98eVlZW6qW93N3d4ePjg40bNyIhIQHu7u4YOXIk3nnnnUa7IM3JyQmOjo44cuSIuuhNSkpC27Zt1fOQ8/PzoVQqsWfPHuzZs6fG/Tw/DaUmffv2xSeffILKykpcv34dmzdvhlKp1Crm7969i6ioKPz8889ac3CLiorqPc7t27dRWFioVWBXycvLq3cfRNQysOglIoO2YsUK7Nu3D9OnT4erqyvatGkDiUSCsLAwjQK4JuHh4Rg/fjxOnDiBtLQ0rFy5EnFxcdi7dy/s7e2hUqkgkUiwZcsWjWXAqpibm79QjLUV7NXVt3SYRCJBVFQULl++jJMnT+LMmTNYsmQJ4uPjsWfPHlhYWLxQLPXx8/NDbGws8vPzYWlpiZ9//hn+/v7qAl+lUgEAxo4dqzX3t0r1i8hq07ZtWwwZMgQA8Oc//xmOjo4ICQnB9u3b1aPelZWVmDFjBgoKCjBr1iw4OjrC3NwcOTk5CA8PV8dSF5VKhXbt2mHt2rU1Pl/T/GYiaplY9BKRQTt69CjeffddjTuLlZaW1jnKW13Vlf5z5szBxYsXMWXKFCgUCoSFhcHBwQFCCHTp0qXGqRWNoXPnzlCpVLh9+zZ69Oihbn/48CGUSiU6d+6ssb2rqytcXV0RFhaGgwcPYuHChUhKSlKPzD7vZdfh9fPzw8aNG3Hs2DHY2dmhqKgI/v7+6udtbW1hYWEBlUqlLlobg5eXF9zd3REbG4vAwECYm5vj999/R1ZWFlavXq0xTSUtLU2rf23n6eDggHPnzsHNzU1jqgQRGR4uWUZEBq2mEdgdO3agsrKyzn5FRUWoqKjQaJPJZDAyMlIvFfb2229DKpVi48aNWqPGQgg8evSogdEDw4YNAwB89913Gu3x8fEazxcUFGjF4OzsDABaS5tVVzVX+UX/COjRowdkMhmSkpKQlJSE9u3bY8CAAernpVIpfHx8cPToUfz+++9a/V9kakNtZs2ahcePH2Pv3r0AoJ4CUv28hRDYvn27Vt+q81QqlRrtvr6+qKysxKZNm7T6VFRUaG1PRC0XR3qJyKB5eXlh//79sLS0RM+ePXH58mWkp6erlwOrzfnz5/HFF19g9OjR6NatGyorK7F//351UQc8GyX85JNPsG7dOmRnZ2PkyJGwsLDAnTt3cPz4cQQEBCA4OLhB8Ts5OWH8+PHYs2cPlEolBgwYgMzMTCQmJmLkyJHqubSJiYlQKBQYOXIkHBwc8OTJE+zduxeWlpbw9PSsdf+9evUCAKxfvx5+fn5o1aoVhg8fXufUDD8/P0RFRcHU1BQTJ05UF59VFixYgAsXLiAgIACTJk1Cz549UVBQgCtXruDcuXP45z//qdNrMWzYMMhkMiQkJCAoKAiOjo5wcHDA6tWrkZOTA0tLSxw9erTGQrXqPFeuXImhQ4dCKpXC398f7u7uCAwMRFxcHH777Td4eHigVatWyMrKQnJyMpYuXYrRo0frFC8RNS8seonIoC1duhRGRkY4ePAgSktL4ebmhvj4eMyaNavOfnK5HEOHDsXJkyeRk5MDMzMzyOVybNmyBa6ururtZs+ejW7duiEhIUG9Zq69vT08PDzg7e3dKOewcuVKdOnSBYmJiTh+/Djs7OwQEhKCjz/+WL2Nu7s7MjMzkZSUhIcPH6JNmzZwcXHB2rVr0bVr11r37eLigvnz52P37t04c+YMVCoVTpw4UW/R+7e//Q3FxcXw9fXVet7Ozg4//PADYmJikJKSAoVCARsbG/Ts2RMLFy5s0Gsxc+ZMhIeH4+DBg5gwYQJiY2PVc61NTU0xatQoBAUFadzNDXg2Kj9t2jQcPnwYBw4cgBBCPS3jiy++QO/evbF7926sX78eUqkUnTt3xtixY+Hm5tageImo+ZCI+q7kICIiIiJq4Tinl4iIiIgMHoteIiIiIjJ4LHqJiIiIyOCx6CUiIiIig8eil4iIiIgMHoteIiIiIjJ4LHqJiIiIyOCx6CUiIiIig8eil4iIiIgMHoteIiIiIjJ4LHqJiIiIyOCx6CUiIiIig8eil4iIiIgM3v8BYWMyNKQk0oEAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# COMPARISON TABLE"
      ],
      "metadata": {
        "id": "LD-BpxyYnUn1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Logistic Regression metrics\n",
        "lr_accuracy = accuracy_score(y_test, y_pred_lr)\n",
        "lr_precision = precision_score(y_test, y_pred_lr)\n",
        "lr_recall = recall_score(y_test, y_pred_lr)\n",
        "lr_f1 = f1_score(y_test, y_pred_lr)\n",
        "\n",
        "# SVM metrics\n",
        "svm_accuracy = accuracy_score(y_test, y_pred_svm)\n",
        "svm_precision = precision_score(y_test, y_pred_svm)\n",
        "svm_recall = recall_score(y_test, y_pred_svm)\n",
        "svm_f1 = f1_score(y_test, y_pred_svm)\n",
        "\n",
        "# Random Forest metrics\n",
        "rf_accuracy = accuracy_score(y_test, y_pred_rf)\n",
        "rf_precision = precision_score(y_test, y_pred_rf)\n",
        "rf_recall = recall_score(y_test, y_pred_rf)\n",
        "rf_f1 = f1_score(y_test, y_pred_rf)\n",
        "\n",
        "# Creating DataFrame for comparison\n",
        "comparison_df = pd.DataFrame({\n",
        "    \"Model\": [\"Logistic Regression\", \"SVM\", \"Random Forest\"],\n",
        "    \"Accuracy\": [lr_accuracy, svm_accuracy, rf_accuracy],\n",
        "    \"Precision\": [lr_precision, svm_precision, rf_precision],\n",
        "    \"Recall\": [lr_recall, svm_recall, rf_recall],\n",
        "    \"F1 Score\": [lr_f1, svm_f1, rf_f1]\n",
        "})\n",
        "\n",
        "# Sorting by Accuracy (highest first)\n",
        "comparison_df_sorted = comparison_df.sort_values(by=\"Accuracy\", ascending=False).reset_index(drop=True)\n",
        "\n",
        "print(\"\\n MODEL COMPARISON TABLE (Sorted by Accuracy):\\n\")\n",
        "print(comparison_df_sorted)\n",
        "\n",
        "\n",
        "# IDENTIFYING BEST MODEL AUTOMATICALLY\n",
        "\n",
        "best_model_name = comparison_df_sorted.iloc[0][\"Model\"]\n",
        "best_model_accuracy = comparison_df_sorted.iloc[0][\"Accuracy\"]\n",
        "\n",
        "print(\"\\n BEST MODEL BASED ON RESULTS:\")\n",
        "print(f\" Best Model: {best_model_name}\")\n",
        "print(f\" Accuracy: {best_model_accuracy:.4f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b43sG-TklazL",
        "outputId": "677bf415-834d-4cca-94e7-c8618fadafac"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            " MODEL COMPARISON TABLE (Sorted by Accuracy):\n",
            "\n",
            "                 Model  Accuracy  Precision    Recall  F1 Score\n",
            "0                  SVM  0.993943   0.995108  0.995943  0.995525\n",
            "1        Random Forest  0.991955   0.997324  0.990767  0.994035\n",
            "2  Logistic Regression  0.990441   0.993004  0.992865  0.992935\n",
            "\n",
            " BEST MODEL BASED ON RESULTS:\n",
            " Best Model: SVM\n",
            " Accuracy: 0.9939\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Model Comparison Bar Plot"
      ],
      "metadata": {
        "id": "wuWt5eaDoZMs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "models = [\"Logistic Regression\", \"SVM\", \"Random Forest\"]\n",
        "accuracies = [lr_accuracy, svm_accuracy, rf_accuracy]\n",
        "\n",
        "# Creating a DataFrame for easier plotting\n",
        "plot_df = pd.DataFrame({\n",
        "    \"Model\": models,\n",
        "    \"Accuracy\": accuracies\n",
        "})\n",
        "\n",
        "\n",
        "#  Bar Plot\n",
        "\n",
        "plt.figure(figsize=(10,6))\n",
        "sns.barplot(x=\"Model\", y=\"Accuracy\", data=plot_df, palette=\"viridis\")\n",
        "\n",
        "# Adding data labels\n",
        "for i, value in enumerate(accuracies):\n",
        "    plt.text(i, value + 0.0005, f\"{value:.4f}\", ha='center', fontsize=12, fontweight='bold')\n",
        "\n",
        "plt.title(\"Model Comparison Based on Accuracy\", fontsize=16, fontweight='bold')\n",
        "plt.ylabel(\"Accuracy Score\", fontsize=14)\n",
        "plt.xlabel(\"Machine Learning Models\", fontsize=14)\n",
        "plt.ylim(0.98, 1.0)   # Focus range for clearer comparison\n",
        "plt.grid(axis='y', linestyle='--', alpha=0.4)\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        },
        "id": "rNxJ-gVIlawo",
        "outputId": "f69b5e45-c570-4b69-f506-3684491781e0"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-3961748798.py:14: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=\"Model\", y=\"Accuracy\", data=plot_df, palette=\"viridis\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction using Best Models"
      ],
      "metadata": {
        "id": "oXuQMhiGp_0z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# TEXTING CLEANING FUNCTION (same as used during training)\n",
        "\n",
        "def clean_new_email(text):\n",
        "    if not isinstance(text, str):\n",
        "        return \"\"\n",
        "\n",
        "    text = text.lower()\n",
        "    text = re.sub(r'<.*?>', '', text)\n",
        "    text = re.sub(r'http\\S+|www.\\S+', '', text)\n",
        "    text = text.translate(str.maketrans('', '', string.punctuation))\n",
        "    text = re.sub(r'\\d+', '', text)\n",
        "    text = \" \".join([word for word in text.split() if word not in stop_words])\n",
        "\n",
        "    return text\n",
        "\n",
        "# USING BEST MODEL(SVM)\n",
        "best_model = svm_model     # from your previous training\n",
        "\n",
        "#  PREDICTION FUNCTION\n",
        "def predict_email(subject_text, body_text):\n",
        "\n",
        "    # Clean texting\n",
        "    clean_subject = clean_new_email(subject_text)\n",
        "    clean_body = clean_new_email(body_text)\n",
        "\n",
        "    # Combining subject + body\n",
        "    full_text = clean_subject + \" \" + clean_body\n",
        "\n",
        "    # Applying TF-IDF transform (using the SAME tfidf model used during training)\n",
        "    vectorized_text = tfidf.transform([full_text])\n",
        "\n",
        "    # Predicting using best model (SVM)\n",
        "    prediction = best_model.predict(vectorized_text)[0]\n",
        "\n",
        "    # Output result\n",
        "    if prediction == 1:\n",
        "        return \" Prediction: SPAM Email\"\n",
        "    else:\n",
        "        return \"Prediction: LEGITIMATE (HAM) Email\"\n",
        "\n"
      ],
      "metadata": {
        "id": "B2rDjHmjlatx"
      },
      "execution_count": 82,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction 1"
      ],
      "metadata": {
        "id": "rYaFssEUqK9C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "subject_input = \"Urgent! Update your bank account information\"\n",
        "body_input = \"\"\"\n",
        "Dear user,\n",
        "We detected unusual activity in your bank account.\n",
        "Please click the link below to verify your identity.\n",
        "\"\"\"\n",
        "\n",
        "print(predict_email(subject_input, body_input))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i6lMubGxlarD",
        "outputId": "bb28de38-272c-4069-f32e-e0ce8dfb26a5"
      },
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Prediction: SPAM Email\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction 2"
      ],
      "metadata": {
        "id": "qW2BxCM9qOnC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "subject_input = \"Meeting schedule update\"\n",
        "body_input = \"\"\"\n",
        "Hi team,\n",
        "Tomorrow's meeting has been rescheduled to 3 PM.\n",
        "Please update your calendar.\n",
        "\"\"\"\n",
        "\n",
        "print(predict_email(subject_input, body_input))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zLaQ9H_LlamQ",
        "outputId": "377bd5ec-3915-4f3e-c17a-16516d2334bc"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Prediction: LEGITIMATE (HAM) Email\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction 3"
      ],
      "metadata": {
        "id": "mY3yQnQ9Rlme"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "subject_input = \"Your account has been locked!\"\n",
        "body_input = \"\"\"\n",
        "Dear customer,\n",
        "We detected multiple login attempts on your bank account.\n",
        "Please verify your identity immediately to avoid suspension.\n",
        "Click the link below.\n",
        "\"\"\"\n",
        "\n",
        "print(predict_email(subject_input, body_input))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VMW0PmJAFO_u",
        "outputId": "742636ba-6642-47e2-8810-cd886a2c6ce7"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Prediction: SPAM Email\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction 4"
      ],
      "metadata": {
        "id": "yPZgUodIRsk2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "subject_input = \"Invoice for last month's services\"\n",
        "body_input = \"\"\"\n",
        "Hello,\n",
        "Please find attached your invoice for the month of September.\n",
        "Let me know if you need any modifications.\n",
        "Regards,\n",
        "Finance Team\n",
        "\"\"\"\n",
        "\n",
        "print(predict_email(subject_input, body_input))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EXYLgfcfQsmQ",
        "outputId": "836b6e45-a5e1-41f0-a677-435807fb0015"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Prediction: LEGITIMATE (HAM) Email\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediction 5"
      ],
      "metadata": {
        "id": "OeUKRMfRR0av"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Showing Fail to predic becuse Expected: LEGITIMATE but model may wrongly predict SPAM (Should FAIL)"
      ],
      "metadata": {
        "id": "RgUfHCwyRNtg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "subject_input = \"Verify meeting attendance\"\n",
        "body_input = \"\"\"\n",
        "Please verify your attendance for tomorrow's security briefing.\n",
        "Use the link below to confirm your presence.\n",
        "\"\"\"\n",
        "\n",
        "print(predict_email(subject_input, body_input))\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tCgh3JCRRIV3",
        "outputId": "17ee829a-4368-439a-bab6-f82565a7ba96"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " Prediction: SPAM Email\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "A0rGL54JYyYF"
      },
      "execution_count": 88,
      "outputs": []
    }
  ]
}