Laily-UAS ACS-Decision Tree.ipynb

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    "colab": {
      "name": "Laily-UAS fix.ipynb",
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      "include_colab_link": true
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      "name": "python3",
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/laoktaviana/ACS-DecisionTree/blob/main/Laily-UAS%20ACS-Decision%20Tree.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vFbnZfaYBC3h",
        "outputId": "6bbff682-1a3e-4928-b3f9-1f7a836be74b"
      },
      "source": [
        "#Koneksi ke file Google Drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive/')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive/\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SywirDvmBCc9",
        "outputId": "e9906803-e934-4156-ec4d-de7830b6fc46"
      },
      "source": [
        "cd /content/drive/My Drive/ACS-UAS"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/My Drive/ACS-UAS\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8S1WgLnI9L0G"
      },
      "source": [
        "#dilakukan proses import library \n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sb\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from sklearn.decomposition import PCA"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "id": "CNyTLzk5BuWq",
        "outputId": "28c44a0a-d579-4416-81c7-0b4f05061c39"
      },
      "source": [
        "#membaca data set\n",
        "df = pd.read_csv('kddcup99.csv')\n",
        "df.head()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
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              "      <th></th>\n",
              "      <th>duration</th>\n",
              "      <th>protocol_type</th>\n",
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              "      <th>src_bytes</th>\n",
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              "      <th>lnum_access_files</th>\n",
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              "      <th>is_host_login</th>\n",
              "      <th>is_guest_login</th>\n",
              "      <th>count</th>\n",
              "      <th>srv_count</th>\n",
              "      <th>serror_rate</th>\n",
              "      <th>srv_serror_rate</th>\n",
              "      <th>rerror_rate</th>\n",
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              "      <th>diff_srv_rate</th>\n",
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              "      <th>dst_host_count</th>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
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              "      <th>dst_host_srv_serror_rate</th>\n",
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              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>tcp</td>\n",
              "      <td>http</td>\n",
              "      <td>SF</td>\n",
              "      <td>217</td>\n",
              "      <td>2032</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>49</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>normal</td>\n",
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            ],
            "text/plain": [
              "   duration protocol_type  ... dst_host_srv_rerror_rate   label\n",
              "0         0           tcp  ...                      0.0  normal\n",
              "1         0           tcp  ...                      0.0  normal\n",
              "2         0           tcp  ...                      0.0  normal\n",
              "3         0           tcp  ...                      0.0  normal\n",
              "4         0           tcp  ...                      0.0  normal\n",
              "\n",
              "[5 rows x 42 columns]"
            ]
          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UgVextW_4Uc4"
      },
      "source": [
        "#memberi unique name setiap label di data set untuk hitungan matematis\n",
        "def create_unique_dict(colname):\n",
        "    values = df[colname].unique()\n",
        "    values_dict = {}\n",
        "    for i in range(len(values)):\n",
        "        values_dict[values[i]] = i\n",
        "    return values_dict"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ohuswg13jcBW"
      },
      "source": [
        "#dari string ke numeric\n",
        "df['protocol_type'] = df['protocol_type'].replace(create_unique_dict('protocol_type'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Sjm5dBcf5uk0"
      },
      "source": [
        "df['service'] = df['service'].replace(create_unique_dict('service'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aBW59mbYsL-0"
      },
      "source": [
        "df['flag'] = df['flag'].replace(create_unique_dict('flag'))\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MEzeHyoeB375"
      },
      "source": [
        "df['label'] = df['label'].replace(create_unique_dict('label'))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ed8UyQTfy_NY",
        "colab": {
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          "height": 268
        },
        "outputId": "d29db719-88a7-4600-977b-214239e554b8"
      },
      "source": [
        "#data setelah diubah\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>duration</th>\n",
              "      <th>protocol_type</th>\n",
              "      <th>service</th>\n",
              "      <th>flag</th>\n",
              "      <th>src_bytes</th>\n",
              "      <th>dst_bytes</th>\n",
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              "      <th>lroot_shell</th>\n",
              "      <th>lsu_attempted</th>\n",
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              "      <th>lnum_file_creations</th>\n",
              "      <th>lnum_shells</th>\n",
              "      <th>lnum_access_files</th>\n",
              "      <th>lnum_outbound_cmds</th>\n",
              "      <th>is_host_login</th>\n",
              "      <th>is_guest_login</th>\n",
              "      <th>count</th>\n",
              "      <th>srv_count</th>\n",
              "      <th>serror_rate</th>\n",
              "      <th>srv_serror_rate</th>\n",
              "      <th>rerror_rate</th>\n",
              "      <th>srv_rerror_rate</th>\n",
              "      <th>same_srv_rate</th>\n",
              "      <th>diff_srv_rate</th>\n",
              "      <th>srv_diff_host_rate</th>\n",
              "      <th>dst_host_count</th>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
              "      <th>dst_host_serror_rate</th>\n",
              "      <th>dst_host_srv_serror_rate</th>\n",
              "      <th>dst_host_rerror_rate</th>\n",
              "      <th>dst_host_srv_rerror_rate</th>\n",
              "      <th>label</th>\n",
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              "  <tbody>\n",
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              "      <td>0</td>\n",
              "      <td>181</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ecbc02c0-c99c-40a4-9389-ab67669e2b52')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ecbc02c0-c99c-40a4-9389-ab67669e2b52 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-ecbc02c0-c99c-40a4-9389-ab67669e2b52');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   duration  protocol_type  ...  dst_host_srv_rerror_rate  label\n",
              "0         0              0  ...                       0.0      0\n",
              "1         0              0  ...                       0.0      0\n",
              "2         0              0  ...                       0.0      0\n",
              "3         0              0  ...                       0.0      0\n",
              "4         0              0  ...                       0.0      0\n",
              "\n",
              "[5 rows x 42 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V2-OuxIzzINA",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "f40066c8-defa-46a0-bc28-a52ad91c621c"
      },
      "source": [
        "#dari bentuk baris ke kolom\n",
        "df.T"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>protocol_type</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>service</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>flag</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>src_bytes</th>\n",
              "      <td>181.00</td>\n",
              "      <td>239.00</td>\n",
              "      <td>235.00</td>\n",
              "      <td>219.00</td>\n",
              "      <td>217.00</td>\n",
              "      <td>217.00</td>\n",
              "      <td>212.00</td>\n",
              "      <td>159.00</td>\n",
              "      <td>210.00</td>\n",
              "      <td>212.00</td>\n",
              "      <td>210.00</td>\n",
              "      <td>177.00</td>\n",
              "      <td>222.00</td>\n",
              "      <td>256.00</td>\n",
              "      <td>241.00</td>\n",
              "      <td>260.00</td>\n",
              "      <td>241.00</td>\n",
              "      <td>257.00</td>\n",
              "      <td>233.00</td>\n",
              "      <td>233.00</td>\n",
              "      <td>256.00</td>\n",
              "      <td>234.00</td>\n",
              "      <td>241.00</td>\n",
              "      <td>239.00</td>\n",
              "      <td>245.00</td>\n",
              "      <td>248.00</td>\n",
              "      <td>354.00</td>\n",
              "      <td>193.00</td>\n",
              "      <td>214.00</td>\n",
              "      <td>212.00</td>\n",
              "      <td>215.00</td>\n",
              "      <td>217.00</td>\n",
              "      <td>205.00</td>\n",
              "      <td>155.00</td>\n",
              "      <td>202.00</td>\n",
              "      <td>235.00</td>\n",
              "      <td>259.00</td>\n",
              "      <td>301.00</td>\n",
              "      <td>322.00</td>\n",
              "      <td>370.00</td>\n",
              "      <td>...</td>\n",
              "      <td>326.00</td>\n",
              "      <td>334.00</td>\n",
              "      <td>331.00</td>\n",
              "      <td>333.00</td>\n",
              "      <td>197.00</td>\n",
              "      <td>197.00</td>\n",
              "      <td>215.00</td>\n",
              "      <td>214.00</td>\n",
              "      <td>297.00</td>\n",
              "      <td>296.00</td>\n",
              "      <td>296.00</td>\n",
              "      <td>294.00</td>\n",
              "      <td>285.00</td>\n",
              "      <td>316.00</td>\n",
              "      <td>335.00</td>\n",
              "      <td>284.00</td>\n",
              "      <td>242.00</td>\n",
              "      <td>223.00</td>\n",
              "      <td>204.00</td>\n",
              "      <td>148.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>215.00</td>\n",
              "      <td>341.00</td>\n",
              "      <td>341.00</td>\n",
              "      <td>341.00</td>\n",
              "      <td>235.00</td>\n",
              "      <td>320.00</td>\n",
              "      <td>319.00</td>\n",
              "      <td>335.00</td>\n",
              "      <td>291.00</td>\n",
              "      <td>308.00</td>\n",
              "      <td>291.00</td>\n",
              "      <td>289.00</td>\n",
              "      <td>306.00</td>\n",
              "      <td>289.00</td>\n",
              "      <td>310.00</td>\n",
              "      <td>282.00</td>\n",
              "      <td>203.00</td>\n",
              "      <td>291.00</td>\n",
              "      <td>219.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_bytes</th>\n",
              "      <td>5450.00</td>\n",
              "      <td>486.00</td>\n",
              "      <td>1337.00</td>\n",
              "      <td>1337.00</td>\n",
              "      <td>2032.00</td>\n",
              "      <td>2032.00</td>\n",
              "      <td>1940.00</td>\n",
              "      <td>4087.00</td>\n",
              "      <td>151.00</td>\n",
              "      <td>786.00</td>\n",
              "      <td>624.00</td>\n",
              "      <td>1985.00</td>\n",
              "      <td>773.00</td>\n",
              "      <td>1169.00</td>\n",
              "      <td>259.00</td>\n",
              "      <td>1837.00</td>\n",
              "      <td>261.00</td>\n",
              "      <td>818.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>504.00</td>\n",
              "      <td>1273.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>259.00</td>\n",
              "      <td>968.00</td>\n",
              "      <td>1919.00</td>\n",
              "      <td>2129.00</td>\n",
              "      <td>1752.00</td>\n",
              "      <td>3991.00</td>\n",
              "      <td>14959.00</td>\n",
              "      <td>1309.00</td>\n",
              "      <td>3670.00</td>\n",
              "      <td>18434.00</td>\n",
              "      <td>424.00</td>\n",
              "      <td>424.00</td>\n",
              "      <td>424.00</td>\n",
              "      <td>6627.00</td>\n",
              "      <td>3917.00</td>\n",
              "      <td>2653.00</td>\n",
              "      <td>424.00</td>\n",
              "      <td>520.00</td>\n",
              "      <td>...</td>\n",
              "      <td>4660.00</td>\n",
              "      <td>2684.00</td>\n",
              "      <td>1417.00</td>\n",
              "      <td>35187.00</td>\n",
              "      <td>1571.00</td>\n",
              "      <td>13802.00</td>\n",
              "      <td>2941.00</td>\n",
              "      <td>3687.00</td>\n",
              "      <td>599.00</td>\n",
              "      <td>540.00</td>\n",
              "      <td>617.00</td>\n",
              "      <td>29288.00</td>\n",
              "      <td>34557.00</td>\n",
              "      <td>3665.00</td>\n",
              "      <td>10440.00</td>\n",
              "      <td>10592.00</td>\n",
              "      <td>7066.00</td>\n",
              "      <td>3707.00</td>\n",
              "      <td>1731.00</td>\n",
              "      <td>1122.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2649.00</td>\n",
              "      <td>326.00</td>\n",
              "      <td>1943.00</td>\n",
              "      <td>1663.00</td>\n",
              "      <td>501.00</td>\n",
              "      <td>13828.00</td>\n",
              "      <td>1435.00</td>\n",
              "      <td>3435.00</td>\n",
              "      <td>236.00</td>\n",
              "      <td>662.00</td>\n",
              "      <td>1862.00</td>\n",
              "      <td>244.00</td>\n",
              "      <td>662.00</td>\n",
              "      <td>1862.00</td>\n",
              "      <td>1881.00</td>\n",
              "      <td>2286.00</td>\n",
              "      <td>1200.00</td>\n",
              "      <td>1200.00</td>\n",
              "      <td>1234.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>land</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>wrong_fragment</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>urgent</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hot</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>num_failed_logins</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>logged_in</th>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>...</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_compromised</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lroot_shell</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lsu_attempted</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_root</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_file_creations</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_shells</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_access_files</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_outbound_cmds</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>is_host_login</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>is_guest_login</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>18.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>17.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>13.00</td>\n",
              "      <td>23.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>...</td>\n",
              "      <td>8.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>24.00</td>\n",
              "      <td>34.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>9.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>10.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_count</th>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>18.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>17.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>13.00</td>\n",
              "      <td>23.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>10.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>25.00</td>\n",
              "      <td>13.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>...</td>\n",
              "      <td>9.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>24.00</td>\n",
              "      <td>34.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>9.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>35.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>10.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>18.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>35.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>serror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_serror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rerror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_rerror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>same_srv_rate</th>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>...</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diff_srv_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_diff_host_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.20</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.22</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.29</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.29</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.30</td>\n",
              "      <td>0.18</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.40</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_count</th>\n",
              "      <td>9.00</td>\n",
              "      <td>19.00</td>\n",
              "      <td>29.00</td>\n",
              "      <td>39.00</td>\n",
              "      <td>49.00</td>\n",
              "      <td>59.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>18.00</td>\n",
              "      <td>28.00</td>\n",
              "      <td>38.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>24.00</td>\n",
              "      <td>34.00</td>\n",
              "      <td>44.00</td>\n",
              "      <td>54.00</td>\n",
              "      <td>64.00</td>\n",
              "      <td>74.00</td>\n",
              "      <td>84.00</td>\n",
              "      <td>94.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>13.00</td>\n",
              "      <td>23.00</td>\n",
              "      <td>5.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>21.00</td>\n",
              "      <td>31.00</td>\n",
              "      <td>41.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>12.00</td>\n",
              "      <td>22.00</td>\n",
              "      <td>32.00</td>\n",
              "      <td>42.00</td>\n",
              "      <td>52.00</td>\n",
              "      <td>62.00</td>\n",
              "      <td>72.00</td>\n",
              "      <td>...</td>\n",
              "      <td>25.00</td>\n",
              "      <td>35.00</td>\n",
              "      <td>45.00</td>\n",
              "      <td>55.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>8.00</td>\n",
              "      <td>18.00</td>\n",
              "      <td>4.00</td>\n",
              "      <td>14.00</td>\n",
              "      <td>24.00</td>\n",
              "      <td>34.00</td>\n",
              "      <td>7.00</td>\n",
              "      <td>17.00</td>\n",
              "      <td>27.00</td>\n",
              "      <td>37.00</td>\n",
              "      <td>47.00</td>\n",
              "      <td>9.00</td>\n",
              "      <td>19.00</td>\n",
              "      <td>3.00</td>\n",
              "      <td>13.00</td>\n",
              "      <td>23.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>11.00</td>\n",
              "      <td>21.00</td>\n",
              "      <td>2.00</td>\n",
              "      <td>10.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>16.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>36.00</td>\n",
              "      <td>46.00</td>\n",
              "      <td>56.00</td>\n",
              "      <td>66.00</td>\n",
              "      <td>76.00</td>\n",
              "      <td>86.00</td>\n",
              "      <td>6.00</td>\n",
              "      <td>16.00</td>\n",
              "      <td>26.00</td>\n",
              "      <td>6.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <td>9.00</td>\n",
              "      <td>19.00</td>\n",
              "      <td>29.00</td>\n",
              "      <td>39.00</td>\n",
              "      <td>49.00</td>\n",
              "      <td>59.00</td>\n",
              "      <td>69.00</td>\n",
              "      <td>79.00</td>\n",
              "      <td>89.00</td>\n",
              "      <td>99.00</td>\n",
              "      <td>109.00</td>\n",
              "      <td>119.00</td>\n",
              "      <td>129.00</td>\n",
              "      <td>139.00</td>\n",
              "      <td>149.00</td>\n",
              "      <td>159.00</td>\n",
              "      <td>169.00</td>\n",
              "      <td>179.00</td>\n",
              "      <td>189.00</td>\n",
              "      <td>199.00</td>\n",
              "      <td>209.00</td>\n",
              "      <td>219.00</td>\n",
              "      <td>229.00</td>\n",
              "      <td>239.00</td>\n",
              "      <td>249.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>...</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "      <td>255.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>...</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <td>0.11</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.08</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.20</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.08</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.01</td>\n",
              "      <td>...</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.25</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.14</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.33</td>\n",
              "      <td>0.15</td>\n",
              "      <td>0.04</td>\n",
              "      <td>1.00</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.50</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.17</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.04</td>\n",
              "      <td>...</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.10</td>\n",
              "      <td>0.09</td>\n",
              "      <td>0.08</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.07</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.05</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_serror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>...</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.06</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_serror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_rerror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.08</td>\n",
              "      <td>0.04</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_rerror_rate</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>label</th>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>42 rows × 494020 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a5f46e47-4c06-4172-9974-bd76f7dffed8')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "    .colab-df-convert {\n",
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              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                              0       1       ...   494018   494019\n",
              "duration                        0.00    0.00  ...     0.00     0.00\n",
              "protocol_type                   0.00    0.00  ...     0.00     0.00\n",
              "service                         0.00    0.00  ...     0.00     0.00\n",
              "flag                            0.00    0.00  ...     0.00     0.00\n",
              "src_bytes                     181.00  239.00  ...   291.00   219.00\n",
              "dst_bytes                    5450.00  486.00  ...  1200.00  1234.00\n",
              "land                            0.00    0.00  ...     0.00     0.00\n",
              "wrong_fragment                  0.00    0.00  ...     0.00     0.00\n",
              "urgent                          0.00    0.00  ...     0.00     0.00\n",
              "hot                             0.00    0.00  ...     0.00     0.00\n",
              "num_failed_logins               0.00    0.00  ...     0.00     0.00\n",
              "logged_in                       1.00    1.00  ...     1.00     1.00\n",
              "lnum_compromised                0.00    0.00  ...     0.00     0.00\n",
              "lroot_shell                     0.00    0.00  ...     0.00     0.00\n",
              "lsu_attempted                   0.00    0.00  ...     0.00     0.00\n",
              "lnum_root                       0.00    0.00  ...     0.00     0.00\n",
              "lnum_file_creations             0.00    0.00  ...     0.00     0.00\n",
              "lnum_shells                     0.00    0.00  ...     0.00     0.00\n",
              "lnum_access_files               0.00    0.00  ...     0.00     0.00\n",
              "lnum_outbound_cmds              0.00    0.00  ...     0.00     0.00\n",
              "is_host_login                   0.00    0.00  ...     0.00     0.00\n",
              "is_guest_login                  0.00    0.00  ...     0.00     0.00\n",
              "count                           8.00    8.00  ...     6.00     6.00\n",
              "srv_count                       8.00    8.00  ...    12.00    35.00\n",
              "serror_rate                     0.00    0.00  ...     0.00     0.00\n",
              "srv_serror_rate                 0.00    0.00  ...     0.00     0.00\n",
              "rerror_rate                     0.00    0.00  ...     0.00     0.00\n",
              "srv_rerror_rate                 0.00    0.00  ...     0.00     0.00\n",
              "same_srv_rate                   1.00    1.00  ...     1.00     1.00\n",
              "diff_srv_rate                   0.00    0.00  ...     0.00     0.00\n",
              "srv_diff_host_rate              0.00    0.00  ...     0.17     0.14\n",
              "dst_host_count                  9.00   19.00  ...    26.00     6.00\n",
              "dst_host_srv_count              9.00   19.00  ...   255.00   255.00\n",
              "dst_host_same_srv_rate          1.00    1.00  ...     1.00     1.00\n",
              "dst_host_diff_srv_rate          0.00    0.00  ...     0.00     0.00\n",
              "dst_host_same_src_port_rate     0.11    0.05  ...     0.04     0.17\n",
              "dst_host_srv_diff_host_rate     0.00    0.00  ...     0.05     0.05\n",
              "dst_host_serror_rate            0.00    0.00  ...     0.04     0.00\n",
              "dst_host_srv_serror_rate        0.00    0.00  ...     0.01     0.01\n",
              "dst_host_rerror_rate            0.00    0.00  ...     0.00     0.00\n",
              "dst_host_srv_rerror_rate        0.00    0.00  ...     0.00     0.00\n",
              "label                           0.00    0.00  ...     0.00     0.00\n",
              "\n",
              "[42 rows x 494020 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7OkcGX8ZzOV1",
        "outputId": "3184b65c-13d6-4af0-ffec-ce3fdee0b01a"
      },
      "source": [
        "#kolerasi fitur data set\n",
        "cols = df.columns\n",
        "for i in range(len(cols)):\n",
        "    if len(df[cols[i]].unique()) < 2:\n",
        "        print(cols[i])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "lnum_outbound_cmds\n",
            "is_host_login\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zC36WJhAzYTm"
      },
      "source": [
        "#drop data set yg tidak diperlukan\n",
        "df = df.drop(['lnum_outbound_cmds', 'is_host_login'], axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gz5G4LMbzdGs",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "4e397b6a-4e1c-4d3f-d666-1cff37e730e8"
      },
      "source": [
        "#nilai 1 jika kolerasi semakin besar\n",
        "corr = df.corr()\n",
        "corr"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-8810fd27-2109-4039-8d91-aeb2f511d494\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>duration</th>\n",
              "      <th>protocol_type</th>\n",
              "      <th>service</th>\n",
              "      <th>flag</th>\n",
              "      <th>src_bytes</th>\n",
              "      <th>dst_bytes</th>\n",
              "      <th>land</th>\n",
              "      <th>wrong_fragment</th>\n",
              "      <th>urgent</th>\n",
              "      <th>hot</th>\n",
              "      <th>num_failed_logins</th>\n",
              "      <th>logged_in</th>\n",
              "      <th>lnum_compromised</th>\n",
              "      <th>lroot_shell</th>\n",
              "      <th>lsu_attempted</th>\n",
              "      <th>lnum_root</th>\n",
              "      <th>lnum_file_creations</th>\n",
              "      <th>lnum_shells</th>\n",
              "      <th>lnum_access_files</th>\n",
              "      <th>is_guest_login</th>\n",
              "      <th>count</th>\n",
              "      <th>srv_count</th>\n",
              "      <th>serror_rate</th>\n",
              "      <th>srv_serror_rate</th>\n",
              "      <th>rerror_rate</th>\n",
              "      <th>srv_rerror_rate</th>\n",
              "      <th>same_srv_rate</th>\n",
              "      <th>diff_srv_rate</th>\n",
              "      <th>srv_diff_host_rate</th>\n",
              "      <th>dst_host_count</th>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
              "      <th>dst_host_serror_rate</th>\n",
              "      <th>dst_host_srv_serror_rate</th>\n",
              "      <th>dst_host_rerror_rate</th>\n",
              "      <th>dst_host_srv_rerror_rate</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>duration</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.023715</td>\n",
              "      <td>0.027184</td>\n",
              "      <td>-0.006068</td>\n",
              "      <td>0.004258</td>\n",
              "      <td>0.005440</td>\n",
              "      <td>-0.000452</td>\n",
              "      <td>-0.003235</td>\n",
              "      <td>0.003786</td>\n",
              "      <td>0.013213</td>\n",
              "      <td>0.005239</td>\n",
              "      <td>-0.017265</td>\n",
              "      <td>0.058095</td>\n",
              "      <td>0.021340</td>\n",
              "      <td>0.055853</td>\n",
              "      <td>0.056766</td>\n",
              "      <td>0.074562</td>\n",
              "      <td>-0.000169</td>\n",
              "      <td>0.025661</td>\n",
              "      <td>0.023424</td>\n",
              "      <td>-0.105154</td>\n",
              "      <td>-0.080250</td>\n",
              "      <td>-0.031416</td>\n",
              "      <td>-0.031378</td>\n",
              "      <td>0.012053</td>\n",
              "      <td>0.012106</td>\n",
              "      <td>0.021771</td>\n",
              "      <td>0.051800</td>\n",
              "      <td>-0.011790</td>\n",
              "      <td>0.010073</td>\n",
              "      <td>-0.117516</td>\n",
              "      <td>-0.118458</td>\n",
              "      <td>0.406233</td>\n",
              "      <td>0.042642</td>\n",
              "      <td>-0.006983</td>\n",
              "      <td>-0.030400</td>\n",
              "      <td>-0.030612</td>\n",
              "      <td>0.006739</td>\n",
              "      <td>0.010465</td>\n",
              "      <td>-0.077989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>protocol_type</th>\n",
              "      <td>-0.023715</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.167665</td>\n",
              "      <td>-0.655335</td>\n",
              "      <td>-0.002664</td>\n",
              "      <td>-0.032433</td>\n",
              "      <td>-0.008262</td>\n",
              "      <td>-0.005357</td>\n",
              "      <td>-0.003183</td>\n",
              "      <td>-0.054640</td>\n",
              "      <td>-0.012110</td>\n",
              "      <td>-0.516476</td>\n",
              "      <td>-0.007030</td>\n",
              "      <td>-0.013063</td>\n",
              "      <td>-0.005788</td>\n",
              "      <td>-0.006982</td>\n",
              "      <td>-0.013905</td>\n",
              "      <td>-0.012280</td>\n",
              "      <td>-0.034208</td>\n",
              "      <td>-0.046131</td>\n",
              "      <td>0.887492</td>\n",
              "      <td>0.966840</td>\n",
              "      <td>-0.574149</td>\n",
              "      <td>-0.573835</td>\n",
              "      <td>-0.306954</td>\n",
              "      <td>-0.307803</td>\n",
              "      <td>0.657082</td>\n",
              "      <td>-0.277028</td>\n",
              "      <td>-0.197989</td>\n",
              "      <td>0.385532</td>\n",
              "      <td>0.711420</td>\n",
              "      <td>0.692294</td>\n",
              "      <td>-0.260155</td>\n",
              "      <td>0.956481</td>\n",
              "      <td>-0.117591</td>\n",
              "      <td>-0.574553</td>\n",
              "      <td>-0.573441</td>\n",
              "      <td>-0.309226</td>\n",
              "      <td>-0.308834</td>\n",
              "      <td>0.493818</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>service</th>\n",
              "      <td>0.027184</td>\n",
              "      <td>0.167665</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.349884</td>\n",
              "      <td>-0.001548</td>\n",
              "      <td>-0.025936</td>\n",
              "      <td>-0.008394</td>\n",
              "      <td>0.023454</td>\n",
              "      <td>0.002456</td>\n",
              "      <td>-0.034878</td>\n",
              "      <td>-0.006646</td>\n",
              "      <td>-0.628047</td>\n",
              "      <td>-0.006229</td>\n",
              "      <td>-0.009203</td>\n",
              "      <td>-0.003607</td>\n",
              "      <td>0.000318</td>\n",
              "      <td>-0.007551</td>\n",
              "      <td>0.005828</td>\n",
              "      <td>-0.039942</td>\n",
              "      <td>-0.017934</td>\n",
              "      <td>0.300152</td>\n",
              "      <td>0.137738</td>\n",
              "      <td>0.334619</td>\n",
              "      <td>0.334046</td>\n",
              "      <td>0.061855</td>\n",
              "      <td>0.059387</td>\n",
              "      <td>-0.391065</td>\n",
              "      <td>0.187517</td>\n",
              "      <td>-0.288361</td>\n",
              "      <td>0.471973</td>\n",
              "      <td>-0.356147</td>\n",
              "      <td>-0.389437</td>\n",
              "      <td>0.127602</td>\n",
              "      <td>0.127535</td>\n",
              "      <td>-0.173735</td>\n",
              "      <td>0.334509</td>\n",
              "      <td>0.334998</td>\n",
              "      <td>0.059592</td>\n",
              "      <td>0.061794</td>\n",
              "      <td>0.409206</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>flag</th>\n",
              "      <td>-0.006068</td>\n",
              "      <td>-0.655335</td>\n",
              "      <td>0.349884</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.003872</td>\n",
              "      <td>-0.013470</td>\n",
              "      <td>0.013371</td>\n",
              "      <td>-0.025261</td>\n",
              "      <td>-0.001361</td>\n",
              "      <td>-0.021159</td>\n",
              "      <td>0.020260</td>\n",
              "      <td>-0.216361</td>\n",
              "      <td>-0.002809</td>\n",
              "      <td>-0.005586</td>\n",
              "      <td>-0.002475</td>\n",
              "      <td>-0.002985</td>\n",
              "      <td>-0.005095</td>\n",
              "      <td>-0.005251</td>\n",
              "      <td>-0.014451</td>\n",
              "      <td>-0.019484</td>\n",
              "      <td>-0.372189</td>\n",
              "      <td>-0.606885</td>\n",
              "      <td>0.928661</td>\n",
              "      <td>0.929011</td>\n",
              "      <td>0.219479</td>\n",
              "      <td>0.216122</td>\n",
              "      <td>-0.925664</td>\n",
              "      <td>0.314960</td>\n",
              "      <td>-0.082986</td>\n",
              "      <td>0.124740</td>\n",
              "      <td>-0.859188</td>\n",
              "      <td>-0.879537</td>\n",
              "      <td>0.256300</td>\n",
              "      <td>-0.635475</td>\n",
              "      <td>-0.029200</td>\n",
              "      <td>0.928322</td>\n",
              "      <td>0.928892</td>\n",
              "      <td>0.210140</td>\n",
              "      <td>0.211055</td>\n",
              "      <td>0.038440</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>src_bytes</th>\n",
              "      <td>0.004258</td>\n",
              "      <td>-0.002664</td>\n",
              "      <td>-0.001548</td>\n",
              "      <td>0.003872</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000002</td>\n",
              "      <td>-0.000020</td>\n",
              "      <td>-0.000139</td>\n",
              "      <td>-0.000005</td>\n",
              "      <td>0.004483</td>\n",
              "      <td>-0.000027</td>\n",
              "      <td>0.001701</td>\n",
              "      <td>0.000119</td>\n",
              "      <td>-0.000022</td>\n",
              "      <td>-0.000010</td>\n",
              "      <td>-0.000010</td>\n",
              "      <td>0.000013</td>\n",
              "      <td>0.000005</td>\n",
              "      <td>-0.000052</td>\n",
              "      <td>-0.000082</td>\n",
              "      <td>-0.003098</td>\n",
              "      <td>-0.002501</td>\n",
              "      <td>0.001558</td>\n",
              "      <td>0.001114</td>\n",
              "      <td>0.000591</td>\n",
              "      <td>0.001379</td>\n",
              "      <td>-0.001860</td>\n",
              "      <td>0.006207</td>\n",
              "      <td>-0.000015</td>\n",
              "      <td>-0.001743</td>\n",
              "      <td>-0.003212</td>\n",
              "      <td>-0.002052</td>\n",
              "      <td>0.000578</td>\n",
              "      <td>-0.000724</td>\n",
              "      <td>0.001186</td>\n",
              "      <td>-0.000718</td>\n",
              "      <td>0.001122</td>\n",
              "      <td>-0.000393</td>\n",
              "      <td>0.001328</td>\n",
              "      <td>0.008340</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_bytes</th>\n",
              "      <td>0.005440</td>\n",
              "      <td>-0.032433</td>\n",
              "      <td>-0.025936</td>\n",
              "      <td>-0.013470</td>\n",
              "      <td>-0.000002</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000175</td>\n",
              "      <td>-0.001254</td>\n",
              "      <td>0.016288</td>\n",
              "      <td>0.004365</td>\n",
              "      <td>0.049330</td>\n",
              "      <td>0.047814</td>\n",
              "      <td>0.023298</td>\n",
              "      <td>0.031680</td>\n",
              "      <td>0.075656</td>\n",
              "      <td>0.020746</td>\n",
              "      <td>0.004958</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>0.008746</td>\n",
              "      <td>0.001289</td>\n",
              "      <td>-0.040373</td>\n",
              "      <td>-0.030544</td>\n",
              "      <td>-0.011908</td>\n",
              "      <td>-0.011930</td>\n",
              "      <td>-0.006166</td>\n",
              "      <td>-0.005808</td>\n",
              "      <td>0.014002</td>\n",
              "      <td>-0.005702</td>\n",
              "      <td>0.008135</td>\n",
              "      <td>-0.048869</td>\n",
              "      <td>-0.005849</td>\n",
              "      <td>0.007058</td>\n",
              "      <td>-0.005314</td>\n",
              "      <td>-0.020143</td>\n",
              "      <td>0.008707</td>\n",
              "      <td>-0.011334</td>\n",
              "      <td>-0.011235</td>\n",
              "      <td>-0.005000</td>\n",
              "      <td>-0.005471</td>\n",
              "      <td>0.002452</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>land</th>\n",
              "      <td>-0.000452</td>\n",
              "      <td>-0.008262</td>\n",
              "      <td>-0.008394</td>\n",
              "      <td>0.013371</td>\n",
              "      <td>-0.000020</td>\n",
              "      <td>-0.000175</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000318</td>\n",
              "      <td>-0.000017</td>\n",
              "      <td>-0.000295</td>\n",
              "      <td>-0.000065</td>\n",
              "      <td>-0.002784</td>\n",
              "      <td>-0.000038</td>\n",
              "      <td>-0.000070</td>\n",
              "      <td>-0.000031</td>\n",
              "      <td>-0.000038</td>\n",
              "      <td>-0.000075</td>\n",
              "      <td>-0.000066</td>\n",
              "      <td>-0.000184</td>\n",
              "      <td>-0.000249</td>\n",
              "      <td>-0.010260</td>\n",
              "      <td>-0.007886</td>\n",
              "      <td>0.013898</td>\n",
              "      <td>0.014422</td>\n",
              "      <td>-0.000777</td>\n",
              "      <td>-0.001659</td>\n",
              "      <td>0.002286</td>\n",
              "      <td>0.002282</td>\n",
              "      <td>0.036985</td>\n",
              "      <td>-0.023671</td>\n",
              "      <td>-0.011587</td>\n",
              "      <td>0.001984</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>0.003799</td>\n",
              "      <td>0.083320</td>\n",
              "      <td>0.012658</td>\n",
              "      <td>0.007795</td>\n",
              "      <td>-0.001511</td>\n",
              "      <td>-0.001665</td>\n",
              "      <td>0.019074</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>wrong_fragment</th>\n",
              "      <td>-0.003235</td>\n",
              "      <td>-0.005357</td>\n",
              "      <td>0.023454</td>\n",
              "      <td>-0.025261</td>\n",
              "      <td>-0.000139</td>\n",
              "      <td>-0.001254</td>\n",
              "      <td>-0.000318</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.000123</td>\n",
              "      <td>-0.002106</td>\n",
              "      <td>-0.000467</td>\n",
              "      <td>-0.019908</td>\n",
              "      <td>-0.000271</td>\n",
              "      <td>-0.000504</td>\n",
              "      <td>-0.000223</td>\n",
              "      <td>-0.000269</td>\n",
              "      <td>-0.000536</td>\n",
              "      <td>-0.000473</td>\n",
              "      <td>-0.001319</td>\n",
              "      <td>-0.001778</td>\n",
              "      <td>-0.061935</td>\n",
              "      <td>-0.047789</td>\n",
              "      <td>-0.013969</td>\n",
              "      <td>-0.022119</td>\n",
              "      <td>-0.011529</td>\n",
              "      <td>-0.011865</td>\n",
              "      <td>0.017416</td>\n",
              "      <td>-0.007077</td>\n",
              "      <td>0.000153</td>\n",
              "      <td>-0.005191</td>\n",
              "      <td>-0.058624</td>\n",
              "      <td>-0.054903</td>\n",
              "      <td>0.071857</td>\n",
              "      <td>-0.031803</td>\n",
              "      <td>0.012092</td>\n",
              "      <td>-0.019091</td>\n",
              "      <td>-0.022104</td>\n",
              "      <td>0.029774</td>\n",
              "      <td>-0.011904</td>\n",
              "      <td>0.082780</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>urgent</th>\n",
              "      <td>0.003786</td>\n",
              "      <td>-0.003183</td>\n",
              "      <td>0.002456</td>\n",
              "      <td>-0.001361</td>\n",
              "      <td>-0.000005</td>\n",
              "      <td>0.016288</td>\n",
              "      <td>-0.000017</td>\n",
              "      <td>-0.000123</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000356</td>\n",
              "      <td>0.141996</td>\n",
              "      <td>0.006164</td>\n",
              "      <td>0.014285</td>\n",
              "      <td>0.034790</td>\n",
              "      <td>-0.000012</td>\n",
              "      <td>0.009476</td>\n",
              "      <td>0.015211</td>\n",
              "      <td>-0.000026</td>\n",
              "      <td>0.020068</td>\n",
              "      <td>-0.000096</td>\n",
              "      <td>-0.003997</td>\n",
              "      <td>-0.003047</td>\n",
              "      <td>-0.001193</td>\n",
              "      <td>-0.001192</td>\n",
              "      <td>-0.000638</td>\n",
              "      <td>-0.000639</td>\n",
              "      <td>0.001381</td>\n",
              "      <td>-0.000656</td>\n",
              "      <td>-0.000524</td>\n",
              "      <td>-0.007139</td>\n",
              "      <td>-0.004541</td>\n",
              "      <td>-0.003279</td>\n",
              "      <td>0.010536</td>\n",
              "      <td>-0.002002</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.001194</td>\n",
              "      <td>-0.001191</td>\n",
              "      <td>-0.000648</td>\n",
              "      <td>-0.000641</td>\n",
              "      <td>0.004872</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>hot</th>\n",
              "      <td>0.013213</td>\n",
              "      <td>-0.054640</td>\n",
              "      <td>-0.034878</td>\n",
              "      <td>-0.021159</td>\n",
              "      <td>0.004483</td>\n",
              "      <td>0.004365</td>\n",
              "      <td>-0.000295</td>\n",
              "      <td>-0.002106</td>\n",
              "      <td>0.000356</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.008740</td>\n",
              "      <td>0.105306</td>\n",
              "      <td>0.007348</td>\n",
              "      <td>0.024065</td>\n",
              "      <td>-0.000206</td>\n",
              "      <td>0.000998</td>\n",
              "      <td>0.025247</td>\n",
              "      <td>0.006373</td>\n",
              "      <td>0.001902</td>\n",
              "      <td>0.843572</td>\n",
              "      <td>-0.068451</td>\n",
              "      <td>-0.052164</td>\n",
              "      <td>-0.020264</td>\n",
              "      <td>-0.020217</td>\n",
              "      <td>-0.008305</td>\n",
              "      <td>-0.005822</td>\n",
              "      <td>0.022697</td>\n",
              "      <td>-0.002686</td>\n",
              "      <td>0.001973</td>\n",
              "      <td>-0.026367</td>\n",
              "      <td>-0.038731</td>\n",
              "      <td>-0.029117</td>\n",
              "      <td>0.001319</td>\n",
              "      <td>-0.052923</td>\n",
              "      <td>-0.004467</td>\n",
              "      <td>-0.019491</td>\n",
              "      <td>-0.020201</td>\n",
              "      <td>-0.006541</td>\n",
              "      <td>-0.007749</td>\n",
              "      <td>0.174389</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>num_failed_logins</th>\n",
              "      <td>0.005239</td>\n",
              "      <td>-0.012110</td>\n",
              "      <td>-0.006646</td>\n",
              "      <td>0.020260</td>\n",
              "      <td>-0.000027</td>\n",
              "      <td>0.049330</td>\n",
              "      <td>-0.000065</td>\n",
              "      <td>-0.000467</td>\n",
              "      <td>0.141996</td>\n",
              "      <td>0.008740</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.001145</td>\n",
              "      <td>0.006907</td>\n",
              "      <td>0.036983</td>\n",
              "      <td>0.117117</td>\n",
              "      <td>0.003250</td>\n",
              "      <td>0.003948</td>\n",
              "      <td>-0.000097</td>\n",
              "      <td>0.003305</td>\n",
              "      <td>-0.000365</td>\n",
              "      <td>-0.015185</td>\n",
              "      <td>-0.011578</td>\n",
              "      <td>-0.003169</td>\n",
              "      <td>-0.003850</td>\n",
              "      <td>0.025167</td>\n",
              "      <td>0.025098</td>\n",
              "      <td>0.004581</td>\n",
              "      <td>0.003850</td>\n",
              "      <td>-0.001992</td>\n",
              "      <td>-0.025444</td>\n",
              "      <td>-0.015413</td>\n",
              "      <td>0.000507</td>\n",
              "      <td>0.001017</td>\n",
              "      <td>-0.009565</td>\n",
              "      <td>0.016001</td>\n",
              "      <td>-0.001945</td>\n",
              "      <td>-0.002453</td>\n",
              "      <td>0.024753</td>\n",
              "      <td>0.023584</td>\n",
              "      <td>0.003579</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>logged_in</th>\n",
              "      <td>-0.017265</td>\n",
              "      <td>-0.516476</td>\n",
              "      <td>-0.628047</td>\n",
              "      <td>-0.216361</td>\n",
              "      <td>0.001701</td>\n",
              "      <td>0.047814</td>\n",
              "      <td>-0.002784</td>\n",
              "      <td>-0.019908</td>\n",
              "      <td>0.006164</td>\n",
              "      <td>0.105306</td>\n",
              "      <td>-0.001145</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.013612</td>\n",
              "      <td>0.025293</td>\n",
              "      <td>0.011208</td>\n",
              "      <td>0.013519</td>\n",
              "      <td>0.026923</td>\n",
              "      <td>0.023776</td>\n",
              "      <td>0.066233</td>\n",
              "      <td>0.089319</td>\n",
              "      <td>-0.634641</td>\n",
              "      <td>-0.478120</td>\n",
              "      <td>-0.191697</td>\n",
              "      <td>-0.191112</td>\n",
              "      <td>-0.099136</td>\n",
              "      <td>-0.094372</td>\n",
              "      <td>0.219684</td>\n",
              "      <td>-0.072691</td>\n",
              "      <td>0.330667</td>\n",
              "      <td>-0.621023</td>\n",
              "      <td>0.119324</td>\n",
              "      <td>0.161080</td>\n",
              "      <td>-0.061150</td>\n",
              "      <td>-0.461555</td>\n",
              "      <td>0.140495</td>\n",
              "      <td>-0.190954</td>\n",
              "      <td>-0.191703</td>\n",
              "      <td>-0.090868</td>\n",
              "      <td>-0.087885</td>\n",
              "      <td>-0.590989</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_compromised</th>\n",
              "      <td>0.058095</td>\n",
              "      <td>-0.007030</td>\n",
              "      <td>-0.006229</td>\n",
              "      <td>-0.002809</td>\n",
              "      <td>0.000119</td>\n",
              "      <td>0.023298</td>\n",
              "      <td>-0.000038</td>\n",
              "      <td>-0.000271</td>\n",
              "      <td>0.014285</td>\n",
              "      <td>0.007348</td>\n",
              "      <td>0.006907</td>\n",
              "      <td>0.013612</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.255557</td>\n",
              "      <td>0.701400</td>\n",
              "      <td>0.993828</td>\n",
              "      <td>0.010934</td>\n",
              "      <td>0.009341</td>\n",
              "      <td>0.412238</td>\n",
              "      <td>-0.000212</td>\n",
              "      <td>-0.008792</td>\n",
              "      <td>-0.006704</td>\n",
              "      <td>-0.002597</td>\n",
              "      <td>-0.002618</td>\n",
              "      <td>-0.001049</td>\n",
              "      <td>-0.000478</td>\n",
              "      <td>0.003012</td>\n",
              "      <td>-0.001338</td>\n",
              "      <td>0.000770</td>\n",
              "      <td>-0.008361</td>\n",
              "      <td>-0.004797</td>\n",
              "      <td>-0.002584</td>\n",
              "      <td>0.000359</td>\n",
              "      <td>-0.006715</td>\n",
              "      <td>0.000621</td>\n",
              "      <td>-0.001978</td>\n",
              "      <td>-0.001631</td>\n",
              "      <td>-0.000843</td>\n",
              "      <td>-0.000873</td>\n",
              "      <td>0.004651</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lroot_shell</th>\n",
              "      <td>0.021340</td>\n",
              "      <td>-0.013063</td>\n",
              "      <td>-0.009203</td>\n",
              "      <td>-0.005586</td>\n",
              "      <td>-0.000022</td>\n",
              "      <td>0.031680</td>\n",
              "      <td>-0.000070</td>\n",
              "      <td>-0.000504</td>\n",
              "      <td>0.034790</td>\n",
              "      <td>0.024065</td>\n",
              "      <td>0.036983</td>\n",
              "      <td>0.025293</td>\n",
              "      <td>0.255557</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.295390</td>\n",
              "      <td>0.255400</td>\n",
              "      <td>0.091415</td>\n",
              "      <td>0.173991</td>\n",
              "      <td>0.152217</td>\n",
              "      <td>-0.000393</td>\n",
              "      <td>-0.016224</td>\n",
              "      <td>-0.012343</td>\n",
              "      <td>-0.004897</td>\n",
              "      <td>-0.004891</td>\n",
              "      <td>-0.002177</td>\n",
              "      <td>-0.002186</td>\n",
              "      <td>0.005296</td>\n",
              "      <td>0.000807</td>\n",
              "      <td>0.000492</td>\n",
              "      <td>-0.024384</td>\n",
              "      <td>-0.010026</td>\n",
              "      <td>0.000935</td>\n",
              "      <td>-0.000685</td>\n",
              "      <td>-0.006273</td>\n",
              "      <td>0.016950</td>\n",
              "      <td>-0.004553</td>\n",
              "      <td>-0.004208</td>\n",
              "      <td>0.000003</td>\n",
              "      <td>-0.001799</td>\n",
              "      <td>-0.003281</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lsu_attempted</th>\n",
              "      <td>0.055853</td>\n",
              "      <td>-0.005788</td>\n",
              "      <td>-0.003607</td>\n",
              "      <td>-0.002475</td>\n",
              "      <td>-0.000010</td>\n",
              "      <td>0.075656</td>\n",
              "      <td>-0.000031</td>\n",
              "      <td>-0.000223</td>\n",
              "      <td>-0.000012</td>\n",
              "      <td>-0.000206</td>\n",
              "      <td>0.117117</td>\n",
              "      <td>0.011208</td>\n",
              "      <td>0.701400</td>\n",
              "      <td>0.295390</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.695603</td>\n",
              "      <td>0.008030</td>\n",
              "      <td>0.023525</td>\n",
              "      <td>0.320283</td>\n",
              "      <td>-0.000174</td>\n",
              "      <td>-0.007267</td>\n",
              "      <td>-0.005540</td>\n",
              "      <td>-0.002170</td>\n",
              "      <td>-0.002167</td>\n",
              "      <td>-0.001159</td>\n",
              "      <td>-0.001163</td>\n",
              "      <td>0.002511</td>\n",
              "      <td>-0.001193</td>\n",
              "      <td>0.000872</td>\n",
              "      <td>-0.006570</td>\n",
              "      <td>-0.006531</td>\n",
              "      <td>-0.005582</td>\n",
              "      <td>0.000793</td>\n",
              "      <td>-0.005745</td>\n",
              "      <td>0.001848</td>\n",
              "      <td>-0.000438</td>\n",
              "      <td>0.000003</td>\n",
              "      <td>0.000646</td>\n",
              "      <td>-0.000873</td>\n",
              "      <td>-0.005628</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_root</th>\n",
              "      <td>0.056766</td>\n",
              "      <td>-0.006982</td>\n",
              "      <td>0.000318</td>\n",
              "      <td>-0.002985</td>\n",
              "      <td>-0.000010</td>\n",
              "      <td>0.020746</td>\n",
              "      <td>-0.000038</td>\n",
              "      <td>-0.000269</td>\n",
              "      <td>0.009476</td>\n",
              "      <td>0.000998</td>\n",
              "      <td>0.003250</td>\n",
              "      <td>0.013519</td>\n",
              "      <td>0.993828</td>\n",
              "      <td>0.255400</td>\n",
              "      <td>0.695603</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.009710</td>\n",
              "      <td>0.013086</td>\n",
              "      <td>0.413605</td>\n",
              "      <td>-0.000210</td>\n",
              "      <td>-0.008762</td>\n",
              "      <td>-0.006677</td>\n",
              "      <td>-0.002617</td>\n",
              "      <td>-0.002614</td>\n",
              "      <td>-0.001399</td>\n",
              "      <td>-0.001402</td>\n",
              "      <td>0.002815</td>\n",
              "      <td>0.000434</td>\n",
              "      <td>0.000439</td>\n",
              "      <td>-0.011611</td>\n",
              "      <td>-0.007985</td>\n",
              "      <td>-0.006731</td>\n",
              "      <td>0.002863</td>\n",
              "      <td>-0.005216</td>\n",
              "      <td>0.002311</td>\n",
              "      <td>-0.002078</td>\n",
              "      <td>-0.001682</td>\n",
              "      <td>-0.001003</td>\n",
              "      <td>-0.001383</td>\n",
              "      <td>-0.008539</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_file_creations</th>\n",
              "      <td>0.074562</td>\n",
              "      <td>-0.013905</td>\n",
              "      <td>-0.007551</td>\n",
              "      <td>-0.005095</td>\n",
              "      <td>0.000013</td>\n",
              "      <td>0.004958</td>\n",
              "      <td>-0.000075</td>\n",
              "      <td>-0.000536</td>\n",
              "      <td>0.015211</td>\n",
              "      <td>0.025247</td>\n",
              "      <td>0.003948</td>\n",
              "      <td>0.026923</td>\n",
              "      <td>0.010934</td>\n",
              "      <td>0.091415</td>\n",
              "      <td>0.008030</td>\n",
              "      <td>0.009710</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.066568</td>\n",
              "      <td>0.079682</td>\n",
              "      <td>0.014251</td>\n",
              "      <td>-0.017380</td>\n",
              "      <td>-0.013260</td>\n",
              "      <td>-0.004966</td>\n",
              "      <td>-0.005087</td>\n",
              "      <td>-0.002059</td>\n",
              "      <td>-0.001934</td>\n",
              "      <td>0.005538</td>\n",
              "      <td>-0.000287</td>\n",
              "      <td>0.006589</td>\n",
              "      <td>-0.019127</td>\n",
              "      <td>-0.013871</td>\n",
              "      <td>-0.008808</td>\n",
              "      <td>0.006513</td>\n",
              "      <td>-0.009924</td>\n",
              "      <td>0.009938</td>\n",
              "      <td>-0.002763</td>\n",
              "      <td>-0.003685</td>\n",
              "      <td>-0.001513</td>\n",
              "      <td>-0.001478</td>\n",
              "      <td>-0.012170</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_shells</th>\n",
              "      <td>-0.000169</td>\n",
              "      <td>-0.012280</td>\n",
              "      <td>0.005828</td>\n",
              "      <td>-0.005251</td>\n",
              "      <td>0.000005</td>\n",
              "      <td>0.000144</td>\n",
              "      <td>-0.000066</td>\n",
              "      <td>-0.000473</td>\n",
              "      <td>-0.000026</td>\n",
              "      <td>0.006373</td>\n",
              "      <td>-0.000097</td>\n",
              "      <td>0.023776</td>\n",
              "      <td>0.009341</td>\n",
              "      <td>0.173991</td>\n",
              "      <td>0.023525</td>\n",
              "      <td>0.013086</td>\n",
              "      <td>0.066568</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.024901</td>\n",
              "      <td>-0.000370</td>\n",
              "      <td>-0.015149</td>\n",
              "      <td>-0.011516</td>\n",
              "      <td>-0.004565</td>\n",
              "      <td>-0.004598</td>\n",
              "      <td>-0.002460</td>\n",
              "      <td>-0.002466</td>\n",
              "      <td>0.004763</td>\n",
              "      <td>-0.000834</td>\n",
              "      <td>0.000973</td>\n",
              "      <td>-0.017112</td>\n",
              "      <td>-0.012207</td>\n",
              "      <td>-0.007729</td>\n",
              "      <td>0.000641</td>\n",
              "      <td>-0.003448</td>\n",
              "      <td>0.004835</td>\n",
              "      <td>-0.004433</td>\n",
              "      <td>-0.004402</td>\n",
              "      <td>-0.001918</td>\n",
              "      <td>-0.002315</td>\n",
              "      <td>-0.009622</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>lnum_access_files</th>\n",
              "      <td>0.025661</td>\n",
              "      <td>-0.034208</td>\n",
              "      <td>-0.039942</td>\n",
              "      <td>-0.014451</td>\n",
              "      <td>-0.000052</td>\n",
              "      <td>0.008746</td>\n",
              "      <td>-0.000184</td>\n",
              "      <td>-0.001319</td>\n",
              "      <td>0.020068</td>\n",
              "      <td>0.001902</td>\n",
              "      <td>0.003305</td>\n",
              "      <td>0.066233</td>\n",
              "      <td>0.412238</td>\n",
              "      <td>0.152217</td>\n",
              "      <td>0.320283</td>\n",
              "      <td>0.413605</td>\n",
              "      <td>0.079682</td>\n",
              "      <td>0.024901</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.001953</td>\n",
              "      <td>-0.042663</td>\n",
              "      <td>-0.032368</td>\n",
              "      <td>-0.012714</td>\n",
              "      <td>-0.012665</td>\n",
              "      <td>-0.006852</td>\n",
              "      <td>-0.004272</td>\n",
              "      <td>0.014341</td>\n",
              "      <td>-0.003813</td>\n",
              "      <td>0.025211</td>\n",
              "      <td>-0.021152</td>\n",
              "      <td>-0.000801</td>\n",
              "      <td>0.004395</td>\n",
              "      <td>0.002102</td>\n",
              "      <td>-0.032291</td>\n",
              "      <td>0.000740</td>\n",
              "      <td>-0.012330</td>\n",
              "      <td>-0.012065</td>\n",
              "      <td>-0.006611</td>\n",
              "      <td>-0.006780</td>\n",
              "      <td>-0.043452</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>is_guest_login</th>\n",
              "      <td>0.023424</td>\n",
              "      <td>-0.046131</td>\n",
              "      <td>-0.017934</td>\n",
              "      <td>-0.019484</td>\n",
              "      <td>-0.000082</td>\n",
              "      <td>0.001289</td>\n",
              "      <td>-0.000249</td>\n",
              "      <td>-0.001778</td>\n",
              "      <td>-0.000096</td>\n",
              "      <td>0.843572</td>\n",
              "      <td>-0.000365</td>\n",
              "      <td>0.089319</td>\n",
              "      <td>-0.000212</td>\n",
              "      <td>-0.000393</td>\n",
              "      <td>-0.000174</td>\n",
              "      <td>-0.000210</td>\n",
              "      <td>0.014251</td>\n",
              "      <td>-0.000370</td>\n",
              "      <td>0.001953</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.057909</td>\n",
              "      <td>-0.044156</td>\n",
              "      <td>-0.017150</td>\n",
              "      <td>-0.017129</td>\n",
              "      <td>-0.008887</td>\n",
              "      <td>-0.009030</td>\n",
              "      <td>0.018608</td>\n",
              "      <td>0.002129</td>\n",
              "      <td>-0.005296</td>\n",
              "      <td>-0.033787</td>\n",
              "      <td>-0.050016</td>\n",
              "      <td>-0.043190</td>\n",
              "      <td>0.009624</td>\n",
              "      <td>-0.045139</td>\n",
              "      <td>-0.005627</td>\n",
              "      <td>-0.016196</td>\n",
              "      <td>-0.017197</td>\n",
              "      <td>-0.007556</td>\n",
              "      <td>-0.008693</td>\n",
              "      <td>0.084048</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>-0.105154</td>\n",
              "      <td>0.887492</td>\n",
              "      <td>0.300152</td>\n",
              "      <td>-0.372189</td>\n",
              "      <td>-0.003098</td>\n",
              "      <td>-0.040373</td>\n",
              "      <td>-0.010260</td>\n",
              "      <td>-0.061935</td>\n",
              "      <td>-0.003997</td>\n",
              "      <td>-0.068451</td>\n",
              "      <td>-0.015185</td>\n",
              "      <td>-0.634641</td>\n",
              "      <td>-0.008792</td>\n",
              "      <td>-0.016224</td>\n",
              "      <td>-0.007267</td>\n",
              "      <td>-0.008762</td>\n",
              "      <td>-0.017380</td>\n",
              "      <td>-0.015149</td>\n",
              "      <td>-0.042663</td>\n",
              "      <td>-0.057909</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.943667</td>\n",
              "      <td>-0.310690</td>\n",
              "      <td>-0.310335</td>\n",
              "      <td>-0.206971</td>\n",
              "      <td>-0.208446</td>\n",
              "      <td>0.353737</td>\n",
              "      <td>-0.175301</td>\n",
              "      <td>-0.314206</td>\n",
              "      <td>0.532629</td>\n",
              "      <td>0.514579</td>\n",
              "      <td>0.468772</td>\n",
              "      <td>-0.262109</td>\n",
              "      <td>0.860578</td>\n",
              "      <td>-0.244574</td>\n",
              "      <td>-0.311193</td>\n",
              "      <td>-0.309712</td>\n",
              "      <td>-0.211759</td>\n",
              "      <td>-0.208052</td>\n",
              "      <td>0.654006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_count</th>\n",
              "      <td>-0.080250</td>\n",
              "      <td>0.966840</td>\n",
              "      <td>0.137738</td>\n",
              "      <td>-0.606885</td>\n",
              "      <td>-0.002501</td>\n",
              "      <td>-0.030544</td>\n",
              "      <td>-0.007886</td>\n",
              "      <td>-0.047789</td>\n",
              "      <td>-0.003047</td>\n",
              "      <td>-0.052164</td>\n",
              "      <td>-0.011578</td>\n",
              "      <td>-0.478120</td>\n",
              "      <td>-0.006704</td>\n",
              "      <td>-0.012343</td>\n",
              "      <td>-0.005540</td>\n",
              "      <td>-0.006677</td>\n",
              "      <td>-0.013260</td>\n",
              "      <td>-0.011516</td>\n",
              "      <td>-0.032368</td>\n",
              "      <td>-0.044156</td>\n",
              "      <td>0.943667</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.530944</td>\n",
              "      <td>-0.530347</td>\n",
              "      <td>-0.286886</td>\n",
              "      <td>-0.287681</td>\n",
              "      <td>0.615568</td>\n",
              "      <td>-0.295736</td>\n",
              "      <td>-0.235629</td>\n",
              "      <td>0.401533</td>\n",
              "      <td>0.718451</td>\n",
              "      <td>0.687992</td>\n",
              "      <td>-0.328594</td>\n",
              "      <td>0.944926</td>\n",
              "      <td>-0.183216</td>\n",
              "      <td>-0.531344</td>\n",
              "      <td>-0.529982</td>\n",
              "      <td>-0.291105</td>\n",
              "      <td>-0.288451</td>\n",
              "      <td>0.530741</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>serror_rate</th>\n",
              "      <td>-0.031416</td>\n",
              "      <td>-0.574149</td>\n",
              "      <td>0.334619</td>\n",
              "      <td>0.928661</td>\n",
              "      <td>0.001558</td>\n",
              "      <td>-0.011908</td>\n",
              "      <td>0.013898</td>\n",
              "      <td>-0.013969</td>\n",
              "      <td>-0.001193</td>\n",
              "      <td>-0.020264</td>\n",
              "      <td>-0.003169</td>\n",
              "      <td>-0.191697</td>\n",
              "      <td>-0.002597</td>\n",
              "      <td>-0.004897</td>\n",
              "      <td>-0.002170</td>\n",
              "      <td>-0.002617</td>\n",
              "      <td>-0.004966</td>\n",
              "      <td>-0.004565</td>\n",
              "      <td>-0.012714</td>\n",
              "      <td>-0.017150</td>\n",
              "      <td>-0.310690</td>\n",
              "      <td>-0.530944</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.998362</td>\n",
              "      <td>-0.111729</td>\n",
              "      <td>-0.112011</td>\n",
              "      <td>-0.858247</td>\n",
              "      <td>0.253246</td>\n",
              "      <td>-0.092377</td>\n",
              "      <td>0.156637</td>\n",
              "      <td>-0.775277</td>\n",
              "      <td>-0.799906</td>\n",
              "      <td>0.160595</td>\n",
              "      <td>-0.578418</td>\n",
              "      <td>-0.071137</td>\n",
              "      <td>0.998673</td>\n",
              "      <td>0.997849</td>\n",
              "      <td>-0.112394</td>\n",
              "      <td>-0.112288</td>\n",
              "      <td>0.021188</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_serror_rate</th>\n",
              "      <td>-0.031378</td>\n",
              "      <td>-0.573835</td>\n",
              "      <td>0.334046</td>\n",
              "      <td>0.929011</td>\n",
              "      <td>0.001114</td>\n",
              "      <td>-0.011930</td>\n",
              "      <td>0.014422</td>\n",
              "      <td>-0.022119</td>\n",
              "      <td>-0.001192</td>\n",
              "      <td>-0.020217</td>\n",
              "      <td>-0.003850</td>\n",
              "      <td>-0.191112</td>\n",
              "      <td>-0.002618</td>\n",
              "      <td>-0.004891</td>\n",
              "      <td>-0.002167</td>\n",
              "      <td>-0.002614</td>\n",
              "      <td>-0.005087</td>\n",
              "      <td>-0.004598</td>\n",
              "      <td>-0.012665</td>\n",
              "      <td>-0.017129</td>\n",
              "      <td>-0.310335</td>\n",
              "      <td>-0.530347</td>\n",
              "      <td>0.998362</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.111294</td>\n",
              "      <td>-0.115094</td>\n",
              "      <td>-0.857060</td>\n",
              "      <td>0.253240</td>\n",
              "      <td>-0.091955</td>\n",
              "      <td>0.156218</td>\n",
              "      <td>-0.774142</td>\n",
              "      <td>-0.798740</td>\n",
              "      <td>0.158045</td>\n",
              "      <td>-0.577827</td>\n",
              "      <td>-0.070892</td>\n",
              "      <td>0.997835</td>\n",
              "      <td>0.999304</td>\n",
              "      <td>-0.113219</td>\n",
              "      <td>-0.115347</td>\n",
              "      <td>0.020527</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rerror_rate</th>\n",
              "      <td>0.012053</td>\n",
              "      <td>-0.306954</td>\n",
              "      <td>0.061855</td>\n",
              "      <td>0.219479</td>\n",
              "      <td>0.000591</td>\n",
              "      <td>-0.006166</td>\n",
              "      <td>-0.000777</td>\n",
              "      <td>-0.011529</td>\n",
              "      <td>-0.000638</td>\n",
              "      <td>-0.008305</td>\n",
              "      <td>0.025167</td>\n",
              "      <td>-0.099136</td>\n",
              "      <td>-0.001049</td>\n",
              "      <td>-0.002177</td>\n",
              "      <td>-0.001159</td>\n",
              "      <td>-0.001399</td>\n",
              "      <td>-0.002059</td>\n",
              "      <td>-0.002460</td>\n",
              "      <td>-0.006852</td>\n",
              "      <td>-0.008887</td>\n",
              "      <td>-0.206971</td>\n",
              "      <td>-0.286886</td>\n",
              "      <td>-0.111729</td>\n",
              "      <td>-0.111294</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.994731</td>\n",
              "      <td>-0.330002</td>\n",
              "      <td>0.233383</td>\n",
              "      <td>0.024026</td>\n",
              "      <td>-0.088712</td>\n",
              "      <td>-0.329413</td>\n",
              "      <td>-0.319824</td>\n",
              "      <td>0.210199</td>\n",
              "      <td>-0.265333</td>\n",
              "      <td>0.137343</td>\n",
              "      <td>-0.111550</td>\n",
              "      <td>-0.111126</td>\n",
              "      <td>0.986995</td>\n",
              "      <td>0.985200</td>\n",
              "      <td>0.000847</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_rerror_rate</th>\n",
              "      <td>0.012106</td>\n",
              "      <td>-0.307803</td>\n",
              "      <td>0.059387</td>\n",
              "      <td>0.216122</td>\n",
              "      <td>0.001379</td>\n",
              "      <td>-0.005808</td>\n",
              "      <td>-0.001659</td>\n",
              "      <td>-0.011865</td>\n",
              "      <td>-0.000639</td>\n",
              "      <td>-0.005822</td>\n",
              "      <td>0.025098</td>\n",
              "      <td>-0.094372</td>\n",
              "      <td>-0.000478</td>\n",
              "      <td>-0.002186</td>\n",
              "      <td>-0.001163</td>\n",
              "      <td>-0.001402</td>\n",
              "      <td>-0.001934</td>\n",
              "      <td>-0.002466</td>\n",
              "      <td>-0.004272</td>\n",
              "      <td>-0.009030</td>\n",
              "      <td>-0.208446</td>\n",
              "      <td>-0.287681</td>\n",
              "      <td>-0.112011</td>\n",
              "      <td>-0.115094</td>\n",
              "      <td>0.994731</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.328425</td>\n",
              "      <td>0.231751</td>\n",
              "      <td>0.029924</td>\n",
              "      <td>-0.087170</td>\n",
              "      <td>-0.327932</td>\n",
              "      <td>-0.318240</td>\n",
              "      <td>0.209200</td>\n",
              "      <td>-0.266599</td>\n",
              "      <td>0.135028</td>\n",
              "      <td>-0.111856</td>\n",
              "      <td>-0.114844</td>\n",
              "      <td>0.982166</td>\n",
              "      <td>0.986571</td>\n",
              "      <td>0.004344</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>same_srv_rate</th>\n",
              "      <td>0.021771</td>\n",
              "      <td>0.657082</td>\n",
              "      <td>-0.391065</td>\n",
              "      <td>-0.925664</td>\n",
              "      <td>-0.001860</td>\n",
              "      <td>0.014002</td>\n",
              "      <td>0.002286</td>\n",
              "      <td>0.017416</td>\n",
              "      <td>0.001381</td>\n",
              "      <td>0.022697</td>\n",
              "      <td>0.004581</td>\n",
              "      <td>0.219684</td>\n",
              "      <td>0.003012</td>\n",
              "      <td>0.005296</td>\n",
              "      <td>0.002511</td>\n",
              "      <td>0.002815</td>\n",
              "      <td>0.005538</td>\n",
              "      <td>0.004763</td>\n",
              "      <td>0.014341</td>\n",
              "      <td>0.018608</td>\n",
              "      <td>0.353737</td>\n",
              "      <td>0.615568</td>\n",
              "      <td>-0.858247</td>\n",
              "      <td>-0.857060</td>\n",
              "      <td>-0.330002</td>\n",
              "      <td>-0.328425</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.426252</td>\n",
              "      <td>0.105392</td>\n",
              "      <td>-0.181050</td>\n",
              "      <td>0.898960</td>\n",
              "      <td>0.927813</td>\n",
              "      <td>-0.266172</td>\n",
              "      <td>0.660747</td>\n",
              "      <td>0.083455</td>\n",
              "      <td>-0.857835</td>\n",
              "      <td>-0.857544</td>\n",
              "      <td>-0.330291</td>\n",
              "      <td>-0.331992</td>\n",
              "      <td>-0.043554</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>diff_srv_rate</th>\n",
              "      <td>0.051800</td>\n",
              "      <td>-0.277028</td>\n",
              "      <td>0.187517</td>\n",
              "      <td>0.314960</td>\n",
              "      <td>0.006207</td>\n",
              "      <td>-0.005702</td>\n",
              "      <td>0.002282</td>\n",
              "      <td>-0.007077</td>\n",
              "      <td>-0.000656</td>\n",
              "      <td>-0.002686</td>\n",
              "      <td>0.003850</td>\n",
              "      <td>-0.072691</td>\n",
              "      <td>-0.001338</td>\n",
              "      <td>0.000807</td>\n",
              "      <td>-0.001193</td>\n",
              "      <td>0.000434</td>\n",
              "      <td>-0.000287</td>\n",
              "      <td>-0.000834</td>\n",
              "      <td>-0.003813</td>\n",
              "      <td>0.002129</td>\n",
              "      <td>-0.175301</td>\n",
              "      <td>-0.295736</td>\n",
              "      <td>0.253246</td>\n",
              "      <td>0.253240</td>\n",
              "      <td>0.233383</td>\n",
              "      <td>0.231751</td>\n",
              "      <td>-0.426252</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.022425</td>\n",
              "      <td>0.056803</td>\n",
              "      <td>-0.415500</td>\n",
              "      <td>-0.425763</td>\n",
              "      <td>0.524572</td>\n",
              "      <td>-0.266496</td>\n",
              "      <td>-0.028008</td>\n",
              "      <td>0.253277</td>\n",
              "      <td>0.253452</td>\n",
              "      <td>0.227657</td>\n",
              "      <td>0.233983</td>\n",
              "      <td>0.115233</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>srv_diff_host_rate</th>\n",
              "      <td>-0.011790</td>\n",
              "      <td>-0.197989</td>\n",
              "      <td>-0.288361</td>\n",
              "      <td>-0.082986</td>\n",
              "      <td>-0.000015</td>\n",
              "      <td>0.008135</td>\n",
              "      <td>0.036985</td>\n",
              "      <td>0.000153</td>\n",
              "      <td>-0.000524</td>\n",
              "      <td>0.001973</td>\n",
              "      <td>-0.001992</td>\n",
              "      <td>0.330667</td>\n",
              "      <td>0.000770</td>\n",
              "      <td>0.000492</td>\n",
              "      <td>0.000872</td>\n",
              "      <td>0.000439</td>\n",
              "      <td>0.006589</td>\n",
              "      <td>0.000973</td>\n",
              "      <td>0.025211</td>\n",
              "      <td>-0.005296</td>\n",
              "      <td>-0.314206</td>\n",
              "      <td>-0.235629</td>\n",
              "      <td>-0.092377</td>\n",
              "      <td>-0.091955</td>\n",
              "      <td>0.024026</td>\n",
              "      <td>0.029924</td>\n",
              "      <td>0.105392</td>\n",
              "      <td>-0.022425</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.382380</td>\n",
              "      <td>0.005103</td>\n",
              "      <td>0.047743</td>\n",
              "      <td>-0.005612</td>\n",
              "      <td>-0.187877</td>\n",
              "      <td>0.259987</td>\n",
              "      <td>-0.091335</td>\n",
              "      <td>-0.092684</td>\n",
              "      <td>0.024296</td>\n",
              "      <td>0.020312</td>\n",
              "      <td>-0.260349</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_count</th>\n",
              "      <td>0.010073</td>\n",
              "      <td>0.385532</td>\n",
              "      <td>0.471973</td>\n",
              "      <td>0.124740</td>\n",
              "      <td>-0.001743</td>\n",
              "      <td>-0.048869</td>\n",
              "      <td>-0.023671</td>\n",
              "      <td>-0.005191</td>\n",
              "      <td>-0.007139</td>\n",
              "      <td>-0.026367</td>\n",
              "      <td>-0.025444</td>\n",
              "      <td>-0.621023</td>\n",
              "      <td>-0.008361</td>\n",
              "      <td>-0.024384</td>\n",
              "      <td>-0.006570</td>\n",
              "      <td>-0.011611</td>\n",
              "      <td>-0.019127</td>\n",
              "      <td>-0.017112</td>\n",
              "      <td>-0.021152</td>\n",
              "      <td>-0.033787</td>\n",
              "      <td>0.532629</td>\n",
              "      <td>0.401533</td>\n",
              "      <td>0.156637</td>\n",
              "      <td>0.156218</td>\n",
              "      <td>-0.088712</td>\n",
              "      <td>-0.087170</td>\n",
              "      <td>-0.181050</td>\n",
              "      <td>0.056803</td>\n",
              "      <td>-0.382380</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.027249</td>\n",
              "      <td>-0.126908</td>\n",
              "      <td>0.025168</td>\n",
              "      <td>0.290742</td>\n",
              "      <td>-0.491170</td>\n",
              "      <td>0.156727</td>\n",
              "      <td>0.157367</td>\n",
              "      <td>-0.092463</td>\n",
              "      <td>-0.087794</td>\n",
              "      <td>0.465381</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <td>-0.117516</td>\n",
              "      <td>0.711420</td>\n",
              "      <td>-0.356147</td>\n",
              "      <td>-0.859188</td>\n",
              "      <td>-0.003212</td>\n",
              "      <td>-0.005849</td>\n",
              "      <td>-0.011587</td>\n",
              "      <td>-0.058624</td>\n",
              "      <td>-0.004541</td>\n",
              "      <td>-0.038731</td>\n",
              "      <td>-0.015413</td>\n",
              "      <td>0.119324</td>\n",
              "      <td>-0.004797</td>\n",
              "      <td>-0.010026</td>\n",
              "      <td>-0.006531</td>\n",
              "      <td>-0.007985</td>\n",
              "      <td>-0.013871</td>\n",
              "      <td>-0.012207</td>\n",
              "      <td>-0.000801</td>\n",
              "      <td>-0.050016</td>\n",
              "      <td>0.514579</td>\n",
              "      <td>0.718451</td>\n",
              "      <td>-0.775277</td>\n",
              "      <td>-0.774142</td>\n",
              "      <td>-0.329413</td>\n",
              "      <td>-0.327932</td>\n",
              "      <td>0.898960</td>\n",
              "      <td>-0.415500</td>\n",
              "      <td>0.005103</td>\n",
              "      <td>-0.027249</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.973685</td>\n",
              "      <td>-0.462370</td>\n",
              "      <td>0.677579</td>\n",
              "      <td>-0.017112</td>\n",
              "      <td>-0.776075</td>\n",
              "      <td>-0.774752</td>\n",
              "      <td>-0.332685</td>\n",
              "      <td>-0.331627</td>\n",
              "      <td>0.047635</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <td>-0.118458</td>\n",
              "      <td>0.692294</td>\n",
              "      <td>-0.389437</td>\n",
              "      <td>-0.879537</td>\n",
              "      <td>-0.002052</td>\n",
              "      <td>0.007058</td>\n",
              "      <td>0.001984</td>\n",
              "      <td>-0.054903</td>\n",
              "      <td>-0.003279</td>\n",
              "      <td>-0.029117</td>\n",
              "      <td>0.000507</td>\n",
              "      <td>0.161080</td>\n",
              "      <td>-0.002584</td>\n",
              "      <td>0.000935</td>\n",
              "      <td>-0.005582</td>\n",
              "      <td>-0.006731</td>\n",
              "      <td>-0.008808</td>\n",
              "      <td>-0.007729</td>\n",
              "      <td>0.004395</td>\n",
              "      <td>-0.043190</td>\n",
              "      <td>0.468772</td>\n",
              "      <td>0.687992</td>\n",
              "      <td>-0.799906</td>\n",
              "      <td>-0.798740</td>\n",
              "      <td>-0.319824</td>\n",
              "      <td>-0.318240</td>\n",
              "      <td>0.927813</td>\n",
              "      <td>-0.425763</td>\n",
              "      <td>0.047743</td>\n",
              "      <td>-0.126908</td>\n",
              "      <td>0.973685</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.469708</td>\n",
              "      <td>0.671337</td>\n",
              "      <td>0.058054</td>\n",
              "      <td>-0.800728</td>\n",
              "      <td>-0.799429</td>\n",
              "      <td>-0.323164</td>\n",
              "      <td>-0.321610</td>\n",
              "      <td>0.042675</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <td>0.406233</td>\n",
              "      <td>-0.260155</td>\n",
              "      <td>0.127602</td>\n",
              "      <td>0.256300</td>\n",
              "      <td>0.000578</td>\n",
              "      <td>-0.005314</td>\n",
              "      <td>-0.000333</td>\n",
              "      <td>0.071857</td>\n",
              "      <td>0.010536</td>\n",
              "      <td>0.001319</td>\n",
              "      <td>0.001017</td>\n",
              "      <td>-0.061150</td>\n",
              "      <td>0.000359</td>\n",
              "      <td>-0.000685</td>\n",
              "      <td>0.000793</td>\n",
              "      <td>0.002863</td>\n",
              "      <td>0.006513</td>\n",
              "      <td>0.000641</td>\n",
              "      <td>0.002102</td>\n",
              "      <td>0.009624</td>\n",
              "      <td>-0.262109</td>\n",
              "      <td>-0.328594</td>\n",
              "      <td>0.160595</td>\n",
              "      <td>0.158045</td>\n",
              "      <td>0.210199</td>\n",
              "      <td>0.209200</td>\n",
              "      <td>-0.266172</td>\n",
              "      <td>0.524572</td>\n",
              "      <td>-0.005612</td>\n",
              "      <td>0.025168</td>\n",
              "      <td>-0.462370</td>\n",
              "      <td>-0.469708</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.157513</td>\n",
              "      <td>0.006338</td>\n",
              "      <td>0.159359</td>\n",
              "      <td>0.158195</td>\n",
              "      <td>0.221738</td>\n",
              "      <td>0.211371</td>\n",
              "      <td>0.015427</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <td>0.042642</td>\n",
              "      <td>0.956481</td>\n",
              "      <td>0.127535</td>\n",
              "      <td>-0.635475</td>\n",
              "      <td>-0.000724</td>\n",
              "      <td>-0.020143</td>\n",
              "      <td>0.003799</td>\n",
              "      <td>-0.031803</td>\n",
              "      <td>-0.002002</td>\n",
              "      <td>-0.052923</td>\n",
              "      <td>-0.009565</td>\n",
              "      <td>-0.461555</td>\n",
              "      <td>-0.006715</td>\n",
              "      <td>-0.006273</td>\n",
              "      <td>-0.005745</td>\n",
              "      <td>-0.005216</td>\n",
              "      <td>-0.009924</td>\n",
              "      <td>-0.003448</td>\n",
              "      <td>-0.032291</td>\n",
              "      <td>-0.045139</td>\n",
              "      <td>0.860578</td>\n",
              "      <td>0.944926</td>\n",
              "      <td>-0.578418</td>\n",
              "      <td>-0.577827</td>\n",
              "      <td>-0.265333</td>\n",
              "      <td>-0.266599</td>\n",
              "      <td>0.660747</td>\n",
              "      <td>-0.266496</td>\n",
              "      <td>-0.187877</td>\n",
              "      <td>0.290742</td>\n",
              "      <td>0.677579</td>\n",
              "      <td>0.671337</td>\n",
              "      <td>-0.157513</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.064397</td>\n",
              "      <td>-0.578859</td>\n",
              "      <td>-0.577620</td>\n",
              "      <td>-0.268895</td>\n",
              "      <td>-0.268799</td>\n",
              "      <td>0.507804</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
              "      <td>-0.006983</td>\n",
              "      <td>-0.117591</td>\n",
              "      <td>-0.173735</td>\n",
              "      <td>-0.029200</td>\n",
              "      <td>0.001186</td>\n",
              "      <td>0.008707</td>\n",
              "      <td>0.083320</td>\n",
              "      <td>0.012092</td>\n",
              "      <td>-0.000408</td>\n",
              "      <td>-0.004467</td>\n",
              "      <td>0.016001</td>\n",
              "      <td>0.140495</td>\n",
              "      <td>0.000621</td>\n",
              "      <td>0.016950</td>\n",
              "      <td>0.001848</td>\n",
              "      <td>0.002311</td>\n",
              "      <td>0.009938</td>\n",
              "      <td>0.004835</td>\n",
              "      <td>0.000740</td>\n",
              "      <td>-0.005627</td>\n",
              "      <td>-0.244574</td>\n",
              "      <td>-0.183216</td>\n",
              "      <td>-0.071137</td>\n",
              "      <td>-0.070892</td>\n",
              "      <td>0.137343</td>\n",
              "      <td>0.135028</td>\n",
              "      <td>0.083455</td>\n",
              "      <td>-0.028008</td>\n",
              "      <td>0.259987</td>\n",
              "      <td>-0.491170</td>\n",
              "      <td>-0.017112</td>\n",
              "      <td>0.058054</td>\n",
              "      <td>0.006338</td>\n",
              "      <td>-0.064397</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.071132</td>\n",
              "      <td>-0.071657</td>\n",
              "      <td>0.139266</td>\n",
              "      <td>0.140224</td>\n",
              "      <td>-0.051168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_serror_rate</th>\n",
              "      <td>-0.030400</td>\n",
              "      <td>-0.574553</td>\n",
              "      <td>0.334509</td>\n",
              "      <td>0.928322</td>\n",
              "      <td>-0.000718</td>\n",
              "      <td>-0.011334</td>\n",
              "      <td>0.012658</td>\n",
              "      <td>-0.019091</td>\n",
              "      <td>-0.001194</td>\n",
              "      <td>-0.019491</td>\n",
              "      <td>-0.001945</td>\n",
              "      <td>-0.190954</td>\n",
              "      <td>-0.001978</td>\n",
              "      <td>-0.004553</td>\n",
              "      <td>-0.000438</td>\n",
              "      <td>-0.002078</td>\n",
              "      <td>-0.002763</td>\n",
              "      <td>-0.004433</td>\n",
              "      <td>-0.012330</td>\n",
              "      <td>-0.016196</td>\n",
              "      <td>-0.311193</td>\n",
              "      <td>-0.531344</td>\n",
              "      <td>0.998673</td>\n",
              "      <td>0.997835</td>\n",
              "      <td>-0.111550</td>\n",
              "      <td>-0.111856</td>\n",
              "      <td>-0.857835</td>\n",
              "      <td>0.253277</td>\n",
              "      <td>-0.091335</td>\n",
              "      <td>0.156727</td>\n",
              "      <td>-0.776075</td>\n",
              "      <td>-0.800728</td>\n",
              "      <td>0.159359</td>\n",
              "      <td>-0.578859</td>\n",
              "      <td>-0.071132</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.998156</td>\n",
              "      <td>-0.113403</td>\n",
              "      <td>-0.112256</td>\n",
              "      <td>0.020689</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_serror_rate</th>\n",
              "      <td>-0.030612</td>\n",
              "      <td>-0.573441</td>\n",
              "      <td>0.334998</td>\n",
              "      <td>0.928892</td>\n",
              "      <td>0.001122</td>\n",
              "      <td>-0.011235</td>\n",
              "      <td>0.007795</td>\n",
              "      <td>-0.022104</td>\n",
              "      <td>-0.001191</td>\n",
              "      <td>-0.020201</td>\n",
              "      <td>-0.002453</td>\n",
              "      <td>-0.191703</td>\n",
              "      <td>-0.001631</td>\n",
              "      <td>-0.004208</td>\n",
              "      <td>0.000003</td>\n",
              "      <td>-0.001682</td>\n",
              "      <td>-0.003685</td>\n",
              "      <td>-0.004402</td>\n",
              "      <td>-0.012065</td>\n",
              "      <td>-0.017197</td>\n",
              "      <td>-0.309712</td>\n",
              "      <td>-0.529982</td>\n",
              "      <td>0.997849</td>\n",
              "      <td>0.999304</td>\n",
              "      <td>-0.111126</td>\n",
              "      <td>-0.114844</td>\n",
              "      <td>-0.857544</td>\n",
              "      <td>0.253452</td>\n",
              "      <td>-0.092684</td>\n",
              "      <td>0.157367</td>\n",
              "      <td>-0.774752</td>\n",
              "      <td>-0.799429</td>\n",
              "      <td>0.158195</td>\n",
              "      <td>-0.577620</td>\n",
              "      <td>-0.071657</td>\n",
              "      <td>0.998156</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.113185</td>\n",
              "      <td>-0.115321</td>\n",
              "      <td>0.021054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_rerror_rate</th>\n",
              "      <td>0.006739</td>\n",
              "      <td>-0.309226</td>\n",
              "      <td>0.059592</td>\n",
              "      <td>0.210140</td>\n",
              "      <td>-0.000393</td>\n",
              "      <td>-0.005000</td>\n",
              "      <td>-0.001511</td>\n",
              "      <td>0.029774</td>\n",
              "      <td>-0.000648</td>\n",
              "      <td>-0.006541</td>\n",
              "      <td>0.024753</td>\n",
              "      <td>-0.090868</td>\n",
              "      <td>-0.000843</td>\n",
              "      <td>0.000003</td>\n",
              "      <td>0.000646</td>\n",
              "      <td>-0.001003</td>\n",
              "      <td>-0.001513</td>\n",
              "      <td>-0.001918</td>\n",
              "      <td>-0.006611</td>\n",
              "      <td>-0.007556</td>\n",
              "      <td>-0.211759</td>\n",
              "      <td>-0.291105</td>\n",
              "      <td>-0.112394</td>\n",
              "      <td>-0.113219</td>\n",
              "      <td>0.986995</td>\n",
              "      <td>0.982166</td>\n",
              "      <td>-0.330291</td>\n",
              "      <td>0.227657</td>\n",
              "      <td>0.024296</td>\n",
              "      <td>-0.092463</td>\n",
              "      <td>-0.332685</td>\n",
              "      <td>-0.323164</td>\n",
              "      <td>0.221738</td>\n",
              "      <td>-0.268895</td>\n",
              "      <td>0.139266</td>\n",
              "      <td>-0.113403</td>\n",
              "      <td>-0.113185</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.984804</td>\n",
              "      <td>0.001163</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dst_host_srv_rerror_rate</th>\n",
              "      <td>0.010465</td>\n",
              "      <td>-0.308834</td>\n",
              "      <td>0.061794</td>\n",
              "      <td>0.211055</td>\n",
              "      <td>0.001328</td>\n",
              "      <td>-0.005471</td>\n",
              "      <td>-0.001665</td>\n",
              "      <td>-0.011904</td>\n",
              "      <td>-0.000641</td>\n",
              "      <td>-0.007749</td>\n",
              "      <td>0.023584</td>\n",
              "      <td>-0.087885</td>\n",
              "      <td>-0.000873</td>\n",
              "      <td>-0.001799</td>\n",
              "      <td>-0.000873</td>\n",
              "      <td>-0.001383</td>\n",
              "      <td>-0.001478</td>\n",
              "      <td>-0.002315</td>\n",
              "      <td>-0.006780</td>\n",
              "      <td>-0.008693</td>\n",
              "      <td>-0.208052</td>\n",
              "      <td>-0.288451</td>\n",
              "      <td>-0.112288</td>\n",
              "      <td>-0.115347</td>\n",
              "      <td>0.985200</td>\n",
              "      <td>0.986571</td>\n",
              "      <td>-0.331992</td>\n",
              "      <td>0.233983</td>\n",
              "      <td>0.020312</td>\n",
              "      <td>-0.087794</td>\n",
              "      <td>-0.331627</td>\n",
              "      <td>-0.321610</td>\n",
              "      <td>0.211371</td>\n",
              "      <td>-0.268799</td>\n",
              "      <td>0.140224</td>\n",
              "      <td>-0.112256</td>\n",
              "      <td>-0.115321</td>\n",
              "      <td>0.984804</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.001246</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>label</th>\n",
              "      <td>-0.077989</td>\n",
              "      <td>0.493818</td>\n",
              "      <td>0.409206</td>\n",
              "      <td>0.038440</td>\n",
              "      <td>0.008340</td>\n",
              "      <td>0.002452</td>\n",
              "      <td>0.019074</td>\n",
              "      <td>0.082780</td>\n",
              "      <td>0.004872</td>\n",
              "      <td>0.174389</td>\n",
              "      <td>0.003579</td>\n",
              "      <td>-0.590989</td>\n",
              "      <td>0.004651</td>\n",
              "      <td>-0.003281</td>\n",
              "      <td>-0.005628</td>\n",
              "      <td>-0.008539</td>\n",
              "      <td>-0.012170</td>\n",
              "      <td>-0.009622</td>\n",
              "      <td>-0.043452</td>\n",
              "      <td>0.084048</td>\n",
              "      <td>0.654006</td>\n",
              "      <td>0.530741</td>\n",
              "      <td>0.021188</td>\n",
              "      <td>0.020527</td>\n",
              "      <td>0.000847</td>\n",
              "      <td>0.004344</td>\n",
              "      <td>-0.043554</td>\n",
              "      <td>0.115233</td>\n",
              "      <td>-0.260349</td>\n",
              "      <td>0.465381</td>\n",
              "      <td>0.047635</td>\n",
              "      <td>0.042675</td>\n",
              "      <td>0.015427</td>\n",
              "      <td>0.507804</td>\n",
              "      <td>-0.051168</td>\n",
              "      <td>0.020689</td>\n",
              "      <td>0.021054</td>\n",
              "      <td>0.001163</td>\n",
              "      <td>0.001246</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8810fd27-2109-4039-8d91-aeb2f511d494')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8810fd27-2109-4039-8d91-aeb2f511d494 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-8810fd27-2109-4039-8d91-aeb2f511d494');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                             duration  ...     label\n",
              "duration                     1.000000  ... -0.077989\n",
              "protocol_type               -0.023715  ...  0.493818\n",
              "service                      0.027184  ...  0.409206\n",
              "flag                        -0.006068  ...  0.038440\n",
              "src_bytes                    0.004258  ...  0.008340\n",
              "dst_bytes                    0.005440  ...  0.002452\n",
              "land                        -0.000452  ...  0.019074\n",
              "wrong_fragment              -0.003235  ...  0.082780\n",
              "urgent                       0.003786  ...  0.004872\n",
              "hot                          0.013213  ...  0.174389\n",
              "num_failed_logins            0.005239  ...  0.003579\n",
              "logged_in                   -0.017265  ... -0.590989\n",
              "lnum_compromised             0.058095  ...  0.004651\n",
              "lroot_shell                  0.021340  ... -0.003281\n",
              "lsu_attempted                0.055853  ... -0.005628\n",
              "lnum_root                    0.056766  ... -0.008539\n",
              "lnum_file_creations          0.074562  ... -0.012170\n",
              "lnum_shells                 -0.000169  ... -0.009622\n",
              "lnum_access_files            0.025661  ... -0.043452\n",
              "is_guest_login               0.023424  ...  0.084048\n",
              "count                       -0.105154  ...  0.654006\n",
              "srv_count                   -0.080250  ...  0.530741\n",
              "serror_rate                 -0.031416  ...  0.021188\n",
              "srv_serror_rate             -0.031378  ...  0.020527\n",
              "rerror_rate                  0.012053  ...  0.000847\n",
              "srv_rerror_rate              0.012106  ...  0.004344\n",
              "same_srv_rate                0.021771  ... -0.043554\n",
              "diff_srv_rate                0.051800  ...  0.115233\n",
              "srv_diff_host_rate          -0.011790  ... -0.260349\n",
              "dst_host_count               0.010073  ...  0.465381\n",
              "dst_host_srv_count          -0.117516  ...  0.047635\n",
              "dst_host_same_srv_rate      -0.118458  ...  0.042675\n",
              "dst_host_diff_srv_rate       0.406233  ...  0.015427\n",
              "dst_host_same_src_port_rate  0.042642  ...  0.507804\n",
              "dst_host_srv_diff_host_rate -0.006983  ... -0.051168\n",
              "dst_host_serror_rate        -0.030400  ...  0.020689\n",
              "dst_host_srv_serror_rate    -0.030612  ...  0.021054\n",
              "dst_host_rerror_rate         0.006739  ...  0.001163\n",
              "dst_host_srv_rerror_rate     0.010465  ...  0.001246\n",
              "label                       -0.077989  ...  1.000000\n",
              "\n",
              "[40 rows x 40 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 874
        },
        "id": "o-qbW-aAnDbM",
        "outputId": "cac00d0c-e0fb-4eda-9d75-66225dc2e3e2"
      },
      "source": [
        "#heat map, cerah nilai korelasi semakin tinggi\n",
        "sb.set(rc={'figure.figsize':(16, 12)})\n",
        "sb.heatmap(corr, xticklabels=corr.columns, yticklabels=corr.columns)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f430601d290>"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x864 with 2 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "j0o2HCVbdPNP",
        "outputId": "d2e15774-06af-4bd7-959b-0620eec810ea"
      },
      "source": [
        "#label korelasi tinggi\n",
        "removable_columns = []\n",
        "for i in range(len(corr)):\n",
        "    for j in range(len(corr)):\n",
        "        if i != j and corr.iloc[i, j] > 0.99:\n",
        "            print(corr.index[i], corr.columns[j])\n",
        "            removable_columns.append(corr.columns[j])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "lnum_compromised lnum_root\n",
            "lnum_root lnum_compromised\n",
            "serror_rate srv_serror_rate\n",
            "serror_rate dst_host_serror_rate\n",
            "serror_rate dst_host_srv_serror_rate\n",
            "srv_serror_rate serror_rate\n",
            "srv_serror_rate dst_host_serror_rate\n",
            "srv_serror_rate dst_host_srv_serror_rate\n",
            "rerror_rate srv_rerror_rate\n",
            "srv_rerror_rate rerror_rate\n",
            "dst_host_serror_rate serror_rate\n",
            "dst_host_serror_rate srv_serror_rate\n",
            "dst_host_serror_rate dst_host_srv_serror_rate\n",
            "dst_host_srv_serror_rate serror_rate\n",
            "dst_host_srv_serror_rate srv_serror_rate\n",
            "dst_host_srv_serror_rate dst_host_serror_rate\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XJzj_23cyhbQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "34a55a53-08bc-4b21-a221-1ca9eeae524a"
      },
      "source": [
        "#label korelasi rendah\n",
        "removable_columns"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['lnum_root',\n",
              " 'lnum_compromised',\n",
              " 'srv_serror_rate',\n",
              " 'dst_host_serror_rate',\n",
              " 'dst_host_srv_serror_rate',\n",
              " 'serror_rate',\n",
              " 'dst_host_serror_rate',\n",
              " 'dst_host_srv_serror_rate',\n",
              " 'srv_rerror_rate',\n",
              " 'rerror_rate',\n",
              " 'serror_rate',\n",
              " 'srv_serror_rate',\n",
              " 'dst_host_srv_serror_rate',\n",
              " 'serror_rate',\n",
              " 'srv_serror_rate',\n",
              " 'dst_host_serror_rate']"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XREimhED06ij"
      },
      "source": [
        "#korelasi rendah drop\n",
        "df = df.drop(removable_columns, axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wvKHCi2v1PYh",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "outputId": "184eec81-fe6c-416a-a9a3-c968be6f6048"
      },
      "source": [
        "#tabel terbaru\n",
        "df.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-5ba341d5-5caf-459e-b54b-324961d69459\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>duration</th>\n",
              "      <th>protocol_type</th>\n",
              "      <th>service</th>\n",
              "      <th>flag</th>\n",
              "      <th>src_bytes</th>\n",
              "      <th>dst_bytes</th>\n",
              "      <th>land</th>\n",
              "      <th>wrong_fragment</th>\n",
              "      <th>urgent</th>\n",
              "      <th>hot</th>\n",
              "      <th>num_failed_logins</th>\n",
              "      <th>logged_in</th>\n",
              "      <th>lroot_shell</th>\n",
              "      <th>lsu_attempted</th>\n",
              "      <th>lnum_file_creations</th>\n",
              "      <th>lnum_shells</th>\n",
              "      <th>lnum_access_files</th>\n",
              "      <th>is_guest_login</th>\n",
              "      <th>count</th>\n",
              "      <th>srv_count</th>\n",
              "      <th>same_srv_rate</th>\n",
              "      <th>diff_srv_rate</th>\n",
              "      <th>srv_diff_host_rate</th>\n",
              "      <th>dst_host_count</th>\n",
              "      <th>dst_host_srv_count</th>\n",
              "      <th>dst_host_same_srv_rate</th>\n",
              "      <th>dst_host_diff_srv_rate</th>\n",
              "      <th>dst_host_same_src_port_rate</th>\n",
              "      <th>dst_host_srv_diff_host_rate</th>\n",
              "      <th>dst_host_rerror_rate</th>\n",
              "      <th>dst_host_srv_rerror_rate</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>181</td>\n",
              "      <td>5450</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9</td>\n",
              "      <td>9</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.11</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>239</td>\n",
              "      <td>486</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>19</td>\n",
              "      <td>19</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.05</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>235</td>\n",
              "      <td>1337</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>219</td>\n",
              "      <td>1337</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>39</td>\n",
              "      <td>39</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.03</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>217</td>\n",
              "      <td>2032</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5ba341d5-5caf-459e-b54b-324961d69459')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-5ba341d5-5caf-459e-b54b-324961d69459 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-5ba341d5-5caf-459e-b54b-324961d69459');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   duration  protocol_type  ...  dst_host_srv_rerror_rate  label\n",
              "0         0              0  ...                       0.0      0\n",
              "1         0              0  ...                       0.0      0\n",
              "2         0              0  ...                       0.0      0\n",
              "3         0              0  ...                       0.0      0\n",
              "4         0              0  ...                       0.0      0\n",
              "\n",
              "[5 rows x 32 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oQ7RDF2brfnN"
      },
      "source": [
        "X_data = df.drop(['label'], axis=1)\n",
        "Y_data = df['label']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AqCTJe9jAvod"
      },
      "source": [
        "#standarisasi data\n",
        "scaler = StandardScaler()\n",
        "X_data_scaled = scaler.fit_transform(X_data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iXYLTT-WzDFB"
      },
      "source": [
        "#reduksi menggunakan metode PCA untuk mereduksi tabel\n",
        "pca = PCA(n_components=20)\n",
        "principalComponents = pca.fit_transform(X_data_scaled)\n",
        "principalDf = pd.DataFrame(data = principalComponents\n",
        "             , columns = ['p_component_' + str(i) for i in range(20)])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "id": "uYb9BSwa0UZb",
        "outputId": "9be7ec57-86ef-4259-aac1-4d7fe2a438fa"
      },
      "source": [
        "principalDf.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-e6a3c9a9-0f24-4fc8-9b65-12366d8cc26e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>p_component_0</th>\n",
              "      <th>p_component_1</th>\n",
              "      <th>p_component_2</th>\n",
              "      <th>p_component_3</th>\n",
              "      <th>p_component_4</th>\n",
              "      <th>p_component_5</th>\n",
              "      <th>p_component_6</th>\n",
              "      <th>p_component_7</th>\n",
              "      <th>p_component_8</th>\n",
              "      <th>p_component_9</th>\n",
              "      <th>p_component_10</th>\n",
              "      <th>p_component_11</th>\n",
              "      <th>p_component_12</th>\n",
              "      <th>p_component_13</th>\n",
              "      <th>p_component_14</th>\n",
              "      <th>p_component_15</th>\n",
              "      <th>p_component_16</th>\n",
              "      <th>p_component_17</th>\n",
              "      <th>p_component_18</th>\n",
              "      <th>p_component_19</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.887553</td>\n",
              "      <td>4.184033</td>\n",
              "      <td>0.076745</td>\n",
              "      <td>-0.661729</td>\n",
              "      <td>-0.111031</td>\n",
              "      <td>-0.164920</td>\n",
              "      <td>0.068960</td>\n",
              "      <td>-0.509885</td>\n",
              "      <td>0.307415</td>\n",
              "      <td>-0.021928</td>\n",
              "      <td>0.005789</td>\n",
              "      <td>-0.163081</td>\n",
              "      <td>-0.003624</td>\n",
              "      <td>0.379849</td>\n",
              "      <td>-0.272318</td>\n",
              "      <td>0.169115</td>\n",
              "      <td>0.267454</td>\n",
              "      <td>-1.116542</td>\n",
              "      <td>0.132918</td>\n",
              "      <td>0.805417</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.884325</td>\n",
              "      <td>4.150105</td>\n",
              "      <td>0.094255</td>\n",
              "      <td>-0.685465</td>\n",
              "      <td>-0.134116</td>\n",
              "      <td>-0.148325</td>\n",
              "      <td>0.024242</td>\n",
              "      <td>-0.540764</td>\n",
              "      <td>0.331032</td>\n",
              "      <td>-0.016829</td>\n",
              "      <td>0.002040</td>\n",
              "      <td>-0.027967</td>\n",
              "      <td>-0.050281</td>\n",
              "      <td>0.422560</td>\n",
              "      <td>-0.311770</td>\n",
              "      <td>0.158504</td>\n",
              "      <td>0.280159</td>\n",
              "      <td>-1.088260</td>\n",
              "      <td>0.143952</td>\n",
              "      <td>0.767319</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.854099</td>\n",
              "      <td>4.110431</td>\n",
              "      <td>0.108523</td>\n",
              "      <td>-0.699171</td>\n",
              "      <td>-0.132937</td>\n",
              "      <td>-0.135220</td>\n",
              "      <td>0.026064</td>\n",
              "      <td>-0.578868</td>\n",
              "      <td>0.339357</td>\n",
              "      <td>-0.016324</td>\n",
              "      <td>0.002007</td>\n",
              "      <td>-0.043938</td>\n",
              "      <td>-0.039139</td>\n",
              "      <td>0.459997</td>\n",
              "      <td>-0.308828</td>\n",
              "      <td>0.155239</td>\n",
              "      <td>0.277324</td>\n",
              "      <td>-1.056167</td>\n",
              "      <td>0.140213</td>\n",
              "      <td>0.721016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.815277</td>\n",
              "      <td>4.068062</td>\n",
              "      <td>0.120644</td>\n",
              "      <td>-0.708371</td>\n",
              "      <td>-0.132961</td>\n",
              "      <td>-0.129127</td>\n",
              "      <td>0.021656</td>\n",
              "      <td>-0.611635</td>\n",
              "      <td>0.348245</td>\n",
              "      <td>-0.014776</td>\n",
              "      <td>0.001448</td>\n",
              "      <td>-0.038881</td>\n",
              "      <td>-0.037429</td>\n",
              "      <td>0.494196</td>\n",
              "      <td>-0.311378</td>\n",
              "      <td>0.151627</td>\n",
              "      <td>0.276014</td>\n",
              "      <td>-1.026036</td>\n",
              "      <td>0.137719</td>\n",
              "      <td>0.675740</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.777998</td>\n",
              "      <td>4.025317</td>\n",
              "      <td>0.133690</td>\n",
              "      <td>-0.719250</td>\n",
              "      <td>-0.131430</td>\n",
              "      <td>-0.118815</td>\n",
              "      <td>0.022465</td>\n",
              "      <td>-0.647475</td>\n",
              "      <td>0.356154</td>\n",
              "      <td>-0.013743</td>\n",
              "      <td>0.001321</td>\n",
              "      <td>-0.051290</td>\n",
              "      <td>-0.028304</td>\n",
              "      <td>0.529859</td>\n",
              "      <td>-0.308967</td>\n",
              "      <td>0.148104</td>\n",
              "      <td>0.273247</td>\n",
              "      <td>-0.994411</td>\n",
              "      <td>0.134015</td>\n",
              "      <td>0.628786</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e6a3c9a9-0f24-4fc8-9b65-12366d8cc26e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e6a3c9a9-0f24-4fc8-9b65-12366d8cc26e 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-e6a3c9a9-0f24-4fc8-9b65-12366d8cc26e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "   p_component_0  p_component_1  ...  p_component_18  p_component_19\n",
              "0       1.887553       4.184033  ...        0.132918        0.805417\n",
              "1       1.884325       4.150105  ...        0.143952        0.767319\n",
              "2       1.854099       4.110431  ...        0.140213        0.721016\n",
              "3       1.815277       4.068062  ...        0.137719        0.675740\n",
              "4       1.777998       4.025317  ...        0.134015        0.628786\n",
              "\n",
              "[5 rows x 20 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m0uH__Sw01QZ"
      },
      "source": [
        "#Pembagian Data Test dan Data Train\n",
        "from sklearn.model_selection import train_test_split\n",
        "X_train, X_test, y_train, y_test = train_test_split(principalDf, Y_data, test_size=0.2, random_state=0, shuffle=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tUmPj6rnHMFw",
        "outputId": "e859df01-754b-4ab1-de89-7d6e276c9fa6"
      },
      "source": [
        "#Dilakukan klasifikasi dengan Decision Tree Classifier.\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "tree = DecisionTreeClassifier(random_state=0)\n",
        "tree.fit(X_train, y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DecisionTreeClassifier(random_state=0)"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uV-91ksTHV29",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a17ceafb-9374-48d4-bfc7-ae79b7a41b5d"
      },
      "source": [
        "predictions = tree.predict(X_test)\n",
        "predictions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 5, ..., 0, 5, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ke9Yyn5xHlou",
        "outputId": "68a0e307-f347-43be-a5e2-74776aefb29f"
      },
      "source": [
        "#Prediksi Akurasi\n",
        "from sklearn.metrics import accuracy_score\n",
        "accuracy_score(y_test, predictions)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9990587425610299"
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0mUYXk2q_5I9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c7fac6c7-250e-4ccc-b634-e2114be3ae4e"
      },
      "source": [
        "#Dilakukan klasifikasi dengan Random Forest Classifier.\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "model = RandomForestClassifier(n_estimators=100, \n",
        "                               bootstrap = True,\n",
        "                               max_features = 'sqrt')\n",
        "model.fit(X_train, y_train)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(max_features='sqrt')"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YuP6Pt9gNgXA",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "461997a5-8d5e-44f4-d1f8-b389b23b4657"
      },
      "source": [
        "rf_predictions = model.predict(X_test)\n",
        "rf_predictions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 5, ..., 0, 5, 0])"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UBsY-7NOlGYW",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b530e26b-6f83-45b5-9b66-a2b89a0a9a0f"
      },
      "source": [
        "#Prediksi Akurasi\n",
        "accuracy_score(y_test, rf_predictions)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.9994838265657261"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    }
  ]
}