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        "id": "hzF3um8u5bS3"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import plotly.express as px\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv('/content/DDoS_dataset.csv')\n",
        "df = data.copy()\n",
        "df.head()"
      ],
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          "height": 244
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        "id": "zJbtDlun5xYW",
        "outputId": "271e1320-dca9-4df9-b26d-b0652fec30bd"
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      "execution_count": 4,
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              "  Highest Layer Transport Layer  Source IP       Dest IP  Source Port  \\\n",
              "0           ARP             UDP          1   192.168.1.1            0   \n",
              "1           ARP             UDP          0  192.168.1.10            0   \n",
              "2           ARP             UDP          1   192.168.1.1            0   \n",
              "3           ARP             UDP          0  192.168.1.12            0   \n",
              "4           ARP             UDP          1   192.168.1.1            0   \n",
              "\n",
              "   Dest Port  Packet Length  Packets/Time  target  \n",
              "0          0             60          92.8       1  \n",
              "1          0             42          92.9       0  \n",
              "2          0             60         362.8       1  \n",
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      "execution_count": 5,
      "outputs": [
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          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 501293 entries, 0 to 501292\n",
            "Data columns (total 9 columns):\n",
            " #   Column           Non-Null Count   Dtype  \n",
            "---  ------           --------------   -----  \n",
            " 0   Highest Layer    501293 non-null  object \n",
            " 1   Transport Layer  501293 non-null  object \n",
            " 2   Source IP        501293 non-null  int64  \n",
            " 3   Dest IP          501293 non-null  object \n",
            " 4   Source Port      501293 non-null  int64  \n",
            " 5   Dest Port        501293 non-null  int64  \n",
            " 6   Packet Length    501293 non-null  int64  \n",
            " 7   Packets/Time     501293 non-null  float64\n",
            " 8   target           501293 non-null  int64  \n",
            "dtypes: float64(1), int64(5), object(3)\n",
            "memory usage: 34.4+ MB\n"
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        "df.describe().T"
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              "                  count          mean           std   min      25%      50%  \\\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-652019d9-cdda-41bd-b89b-1724c4d6f867')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      cursor: pointer;\n",
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              "      height: 32px;\n",
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              "      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",
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              "\n",
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              "    }\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",
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              "\n",
              "    <script>\n",
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              "        document.querySelector('#df-652019d9-cdda-41bd-b89b-1724c4d6f867 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-652019d9-cdda-41bd-b89b-1724c4d6f867');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      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-dcafae01-7100-477d-b068-41a7700c6880 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",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 501293.0,\n        \"max\": 501293.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          501293.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19068.772679346785,\n        \"min\": 0.1547877189587726,\n        \"max\": 47696.66468711911,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          47696.66468711911\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4818.410549123279,\n        \"min\": 0.36170256012422497,\n        \"max\": 12172.839168948158,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          12172.839168948158\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"min\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 17.091567121439354,\n        \"min\": 0.0,\n        \"max\": 42.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"25%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19611.795745078183,\n        \"min\": 0.0,\n        \"max\": 49158.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          49158.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"50%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19601.874832950714,\n        \"min\": 0.0,\n        \"max\": 49158.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          49158.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"75%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 19598.36559375977,\n        \"min\": 0.0,\n        \"max\": 49158.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          49158.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"max\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 29812.247135279824,\n        \"min\": 1.0,\n        \"max\": 65530.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          65530.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 366
        },
        "id": "nZfStWMA6Ggx",
        "outputId": "5f6274d2-3b30-4608-bdf0-5314c9d99469"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Highest Layer      0\n",
              "Transport Layer    0\n",
              "Source IP          0\n",
              "Dest IP            0\n",
              "Source Port        0\n",
              "Dest Port          0\n",
              "Packet Length      0\n",
              "Packets/Time       0\n",
              "target             0\n",
              "dtype: int64"
            ],
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Highest Layer</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Transport Layer</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Source IP</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dest IP</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Source Port</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dest Port</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Packet Length</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Packets/Time</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>target</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "color_palette = px.colors.qualitative.Pastel"
      ],
      "metadata": {
        "id": "tz_gvPTt6OLv"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(x='Highest Layer', data=df, kde=True, color='orange')\n",
        "plt.title('Traffic Distribution by Highest Layer')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 518
        },
        "id": "ViKsTttX6ehA",
        "outputId": "6d441993-2c81-4662-8011-1e0d1a79ea71"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.box(df, x='Transport Layer', y='Packet Length', title='Packet Length Distribution by Transport Layer')\n",
        "fig.update_layout(width=600, height=400)\n",
        "fig.show(renderer='iframe')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "KX9qqFNz6qgZ",
        "outputId": "bf2e833d-7363-4e65-f448-47070866f7a1"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<iframe\n",
              "    scrolling=\"no\"\n",
              "    width=\"620px\"\n",
              "    height=\"420\"\n",
              "    src=\"iframe_figures/figure_11.html\"\n",
              "    frameborder=\"0\"\n",
              "    allowfullscreen\n",
              "></iframe>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.scatterplot(x='Packet Length', y='Packets/Time', hue='target', data=df)\n",
        "plt.title('Packet Length vs Packets/Time for DDos vs Normal Traffic')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "nJilXx8363LQ",
        "outputId": "b6203081-d00b-47d3-835a-7fb0fa215953"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "top_ips = df[df['target'] == 1]['Source IP'].value_counts().head(10)\n",
        "sns.barplot(x=top_ips.index, y=top_ips.values, palette=['#e5a3ff'])\n",
        "\n",
        "plt.title('Top Source IPs Involved in DDoS Attacks')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 474
        },
        "id": "_7NkSwOM7Etr",
        "outputId": "bda1d21d-2f0b-409a-dd9b-73623875280d"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.histplot(data=df, x='Packet Length', hue='target', multiple='stack', kde=True)\n",
        "plt.title('Packet Length Distribution for Normal vs DDoS Traffic')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "KbX2IfQn7mjK",
        "outputId": "f4022351-79b1-44a9-f471-8e6f61a9c07c"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fig = px.box(df,\n",
        "             x='target',\n",
        "             y='Packets/Time',\n",
        "             title='Packets/Time Distribution for Normal vs DDoS Traffic',\n",
        "             labels={'target': 'Traffic Type', 'Packets/Time': 'Packets per Time Interval'},\n",
        "             color='target',\n",
        "             color_discrete_sequence=color_palette)\n",
        "fig.update_layout(width=600, height=400)\n",
        "fig.show(renderer='iframe')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "Fxzg6Do27zQK",
        "outputId": "7e0c0247-fc0e-4a5a-fa8b-7e504aecdd0e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<iframe\n",
              "    scrolling=\"no\"\n",
              "    width=\"620px\"\n",
              "    height=\"420\"\n",
              "    src=\"iframe_figures/figure_15.html\"\n",
              "    frameborder=\"0\"\n",
              "    allowfullscreen\n",
              "></iframe>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.countplot(x='Transport Layer', hue='target', data=df, palette=['#e5a3ff', '#91f8ff'])\n",
        "\n",
        "plt.title('DDoS vs Normal Traffic by Transport Layer')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "hISpAEXf8S7X",
        "outputId": "6940a5a9-9b6e-457b-ed9e-3d5e13eeeed8"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "label_encoders = {}\n",
        "categorical_columns = df.select_dtypes(include=['object']).columns\n",
        "\n",
        "for column in categorical_columns:\n",
        "  original_values = df[column].unique()\n",
        "\n",
        "  label_encoders[column] = LabelEncoder()\n",
        "  df[column] = label_encoders[column].fit_transform(df[column])\n",
        "\n",
        "  encoded_values = df[column].unique()\n",
        "  decoded_values = label_encoders[column].inverse_transform(encoded_values)\n",
        "\n",
        "  print(f\"\\n{column} Encoding and Decoding:\")\n",
        "  for enc, dec in zip(encoded_values, decoded_values):\n",
        "    print(f\"{enc} -> {dec}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l6ohBiMI8iZs",
        "outputId": "c79c33b7-0333-4036-d352-fc6df65f7439"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Highest Layer Encoding and Decoding:\n",
            "0 -> ARP\n",
            "1 -> BOOTP\n",
            "2 -> BROWSER\n",
            "3 -> DATA\n",
            "4 -> DHCPV6\n",
            "5 -> LLMNR\n",
            "6 -> NBNS\n",
            "7 -> QUIC\n",
            "\n",
            "Transport Layer Encoding and Decoding:\n",
            "1 -> UDP\n",
            "0 -> TCP\n",
            "\n",
            "Dest IP Encoding and Decoding:\n",
            "5 -> 192.168.1.1\n",
            "6 -> 192.168.1.10\n",
            "8 -> 192.168.1.12\n",
            "7 -> 192.168.1.11\n",
            "4 -> 172.16.7.100\n",
            "9 -> 192.168.1.2\n",
            "1 -> 169.254.218.126\n",
            "0 -> 169.254.198.77\n",
            "11 -> 192.168.1.3\n",
            "13 -> 255.255.255.255\n",
            "10 -> 192.168.1.255\n",
            "3 -> 172.16.255.255\n",
            "2 -> 169.254.255.255\n",
            "14 -> ff02::1:2\n",
            "15 -> ff02::1:3\n",
            "12 -> 224.0.0.252\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = df.drop('target', axis=1)\n",
        "y = df['target']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "X2OKngO_9MHl"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "loj = LogisticRegression(solver = 'liblinear')\n",
        "\n",
        "loj.fit(X, y)\n",
        "\n",
        "y_pred = loj.predict(X_test)\n",
        "\n",
        "linear_mse = mean_squared_error(y_test, y_pred)\n",
        "linear_r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "print(f'Mean Squared Error: {linear_mse}')\n",
        "print(f'R^2 Score: {linear_r2}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jJyn5DAR9cCa",
        "outputId": "24fa84d2-954d-4d8e-fffa-bb82efe5640b"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Squared Error: 0.01238791529937462\n",
            "R^2 Score: 0.9052875451385057\n"
          ]
        }
      ]
    }
  ]
}