Detection of DDOS Attack.ipynb

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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Destination Port</th>\n",
       "      <th>Flow Duration</th>\n",
       "      <th>Total Fwd Packets</th>\n",
       "      <th>Total Backward Packets</th>\n",
       "      <th>Total Length of Fwd Packets</th>\n",
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       "      <th>Fwd Packet Length Std</th>\n",
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       "      <th>Active Min</th>\n",
       "      <th>Idle Mean</th>\n",
       "      <th>Idle Std</th>\n",
       "      <th>Idle Max</th>\n",
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       "      <td>54865</td>\n",
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       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>55054</td>\n",
       "      <td>109</td>\n",
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       "      <td>6</td>\n",
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       "      <td>55055</td>\n",
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       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>20</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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>BENIGN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46236</td>\n",
       "      <td>34</td>\n",
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       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>BENIGN</td>\n",
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       "<p>5 rows × 79 columns</p>\n",
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      "text/plain": [
       "    Destination Port   Flow Duration   Total Fwd Packets  \\\n",
       "0              54865               3                   2   \n",
       "1              55054             109                   1   \n",
       "2              55055              52                   1   \n",
       "3              46236              34                   1   \n",
       "4              54863               3                   2   \n",
       "\n",
       "    Total Backward Packets  Total Length of Fwd Packets  \\\n",
       "0                        0                           12   \n",
       "1                        1                            6   \n",
       "2                        1                            6   \n",
       "3                        1                            6   \n",
       "4                        0                           12   \n",
       "\n",
       "    Total Length of Bwd Packets   Fwd Packet Length Max  \\\n",
       "0                             0                       6   \n",
       "1                             6                       6   \n",
       "2                             6                       6   \n",
       "3                             6                       6   \n",
       "4                             0                       6   \n",
       "\n",
       "    Fwd Packet Length Min   Fwd Packet Length Mean   Fwd Packet Length Std  \\\n",
       "0                       6                      6.0                     0.0   \n",
       "1                       6                      6.0                     0.0   \n",
       "2                       6                      6.0                     0.0   \n",
       "3                       6                      6.0                     0.0   \n",
       "4                       6                      6.0                     0.0   \n",
       "\n",
       "   ...   min_seg_size_forward  Active Mean   Active Std   Active Max  \\\n",
       "0  ...                     20          0.0          0.0            0   \n",
       "1  ...                     20          0.0          0.0            0   \n",
       "2  ...                     20          0.0          0.0            0   \n",
       "3  ...                     20          0.0          0.0            0   \n",
       "4  ...                     20          0.0          0.0            0   \n",
       "\n",
       "    Active Min  Idle Mean   Idle Std   Idle Max   Idle Min   Label  \n",
       "0            0        0.0        0.0          0          0  BENIGN  \n",
       "1            0        0.0        0.0          0          0  BENIGN  \n",
       "2            0        0.0        0.0          0          0  BENIGN  \n",
       "3            0        0.0        0.0          0          0  BENIGN  \n",
       "4            0        0.0        0.0          0          0  BENIGN  \n",
       "\n",
       "[5 rows x 79 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "\n",
    "\n",
    "\n",
    "df= pd.read_csv('Friday-WorkingHours-Afternoon-DDos.pcap_ISCX.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "7573badf",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Destination Port</th>\n",
       "      <th>Flow Duration</th>\n",
       "      <th>Total Fwd Packets</th>\n",
       "      <th>Total Backward Packets</th>\n",
       "      <th>Total Length of Fwd Packets</th>\n",
       "      <th>Total Length of Bwd Packets</th>\n",
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       "      <th>Fwd Packet Length Mean</th>\n",
       "      <th>Fwd Packet Length Std</th>\n",
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       "      <th>Label</th>\n",
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       "      <td>6</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DDoS</th>\n",
       "      <td>80</td>\n",
       "      <td>1293792</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>26</td>\n",
       "      <td>11607</td>\n",
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       "      <td>8.666667</td>\n",
       "      <td>10.263203</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Destination Port   Flow Duration   Total Fwd Packets  \\\n",
       " Label                                                          \n",
       "BENIGN              54865               3                   2   \n",
       "DDoS                   80         1293792                   3   \n",
       "\n",
       "         Total Backward Packets  Total Length of Fwd Packets  \\\n",
       " Label                                                         \n",
       "BENIGN                        0                           12   \n",
       "DDoS                          7                           26   \n",
       "\n",
       "         Total Length of Bwd Packets   Fwd Packet Length Max  \\\n",
       " Label                                                         \n",
       "BENIGN                             0                       6   \n",
       "DDoS                           11607                      20   \n",
       "\n",
       "         Fwd Packet Length Min   Fwd Packet Length Mean  \\\n",
       " Label                                                    \n",
       "BENIGN                       6                 6.000000   \n",
       "DDoS                         0                 8.666667   \n",
       "\n",
       "         Fwd Packet Length Std  ...   act_data_pkt_fwd   min_seg_size_forward  \\\n",
       " Label                          ...                                             \n",
       "BENIGN                0.000000  ...                  1                     20   \n",
       "DDoS                 10.263203  ...                  2                     20   \n",
       "\n",
       "        Active Mean   Active Std   Active Max   Active Min  Idle Mean  \\\n",
       " Label                                                                  \n",
       "BENIGN          0.0          0.0            0            0        0.0   \n",
       "DDoS            0.0          0.0            0            0        0.0   \n",
       "\n",
       "         Idle Std   Idle Max   Idle Min  \n",
       " Label                                   \n",
       "BENIGN        0.0          0          0  \n",
       "DDoS          0.0          0          0  \n",
       "\n",
       "[2 rows x 78 columns]"
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   "source": [
    "df.groupby(' Label').first()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "df2c3084",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 225745 entries, 0 to 225744\n",
      "Data columns (total 79 columns):\n",
      " #   Column                        Non-Null Count   Dtype  \n",
      "---  ------                        --------------   -----  \n",
      " 0    Destination Port             225745 non-null  int64  \n",
      " 1    Flow Duration                225745 non-null  int64  \n",
      " 2    Total Fwd Packets            225745 non-null  int64  \n",
      " 3    Total Backward Packets       225745 non-null  int64  \n",
      " 4   Total Length of Fwd Packets   225745 non-null  int64  \n",
      " 5    Total Length of Bwd Packets  225745 non-null  int64  \n",
      " 6    Fwd Packet Length Max        225745 non-null  int64  \n",
      " 7    Fwd Packet Length Min        225745 non-null  int64  \n",
      " 8    Fwd Packet Length Mean       225745 non-null  float64\n",
      " 9    Fwd Packet Length Std        225745 non-null  float64\n",
      " 10  Bwd Packet Length Max         225745 non-null  int64  \n",
      " 11   Bwd Packet Length Min        225745 non-null  int64  \n",
      " 12   Bwd Packet Length Mean       225745 non-null  float64\n",
      " 13   Bwd Packet Length Std        225745 non-null  float64\n",
      " 14  Flow Bytes/s                  225741 non-null  float64\n",
      " 15   Flow Packets/s               225745 non-null  float64\n",
      " 16   Flow IAT Mean                225745 non-null  float64\n",
      " 17   Flow IAT Std                 225745 non-null  float64\n",
      " 18   Flow IAT Max                 225745 non-null  int64  \n",
      " 19   Flow IAT Min                 225745 non-null  int64  \n",
      " 20  Fwd IAT Total                 225745 non-null  int64  \n",
      " 21   Fwd IAT Mean                 225745 non-null  float64\n",
      " 22   Fwd IAT Std                  225745 non-null  float64\n",
      " 23   Fwd IAT Max                  225745 non-null  int64  \n",
      " 24   Fwd IAT Min                  225745 non-null  int64  \n",
      " 25  Bwd IAT Total                 225745 non-null  int64  \n",
      " 26   Bwd IAT Mean                 225745 non-null  float64\n",
      " 27   Bwd IAT Std                  225745 non-null  float64\n",
      " 28   Bwd IAT Max                  225745 non-null  int64  \n",
      " 29   Bwd IAT Min                  225745 non-null  int64  \n",
      " 30  Fwd PSH Flags                 225745 non-null  int64  \n",
      " 31   Bwd PSH Flags                225745 non-null  int64  \n",
      " 32   Fwd URG Flags                225745 non-null  int64  \n",
      " 33   Bwd URG Flags                225745 non-null  int64  \n",
      " 34   Fwd Header Length            225745 non-null  int64  \n",
      " 35   Bwd Header Length            225745 non-null  int64  \n",
      " 36  Fwd Packets/s                 225745 non-null  float64\n",
      " 37   Bwd Packets/s                225745 non-null  float64\n",
      " 38   Min Packet Length            225745 non-null  int64  \n",
      " 39   Max Packet Length            225745 non-null  int64  \n",
      " 40   Packet Length Mean           225745 non-null  float64\n",
      " 41   Packet Length Std            225745 non-null  float64\n",
      " 42   Packet Length Variance       225745 non-null  float64\n",
      " 43  FIN Flag Count                225745 non-null  int64  \n",
      " 44   SYN Flag Count               225745 non-null  int64  \n",
      " 45   RST Flag Count               225745 non-null  int64  \n",
      " 46   PSH Flag Count               225745 non-null  int64  \n",
      " 47   ACK Flag Count               225745 non-null  int64  \n",
      " 48   URG Flag Count               225745 non-null  int64  \n",
      " 49   CWE Flag Count               225745 non-null  int64  \n",
      " 50   ECE Flag Count               225745 non-null  int64  \n",
      " 51   Down/Up Ratio                225745 non-null  int64  \n",
      " 52   Average Packet Size          225745 non-null  float64\n",
      " 53   Avg Fwd Segment Size         225745 non-null  float64\n",
      " 54   Avg Bwd Segment Size         225745 non-null  float64\n",
      " 55   Fwd Header Length.1          225745 non-null  int64  \n",
      " 56  Fwd Avg Bytes/Bulk            225745 non-null  int64  \n",
      " 57   Fwd Avg Packets/Bulk         225745 non-null  int64  \n",
      " 58   Fwd Avg Bulk Rate            225745 non-null  int64  \n",
      " 59   Bwd Avg Bytes/Bulk           225745 non-null  int64  \n",
      " 60   Bwd Avg Packets/Bulk         225745 non-null  int64  \n",
      " 61  Bwd Avg Bulk Rate             225745 non-null  int64  \n",
      " 62  Subflow Fwd Packets           225745 non-null  int64  \n",
      " 63   Subflow Fwd Bytes            225745 non-null  int64  \n",
      " 64   Subflow Bwd Packets          225745 non-null  int64  \n",
      " 65   Subflow Bwd Bytes            225745 non-null  int64  \n",
      " 66  Init_Win_bytes_forward        225745 non-null  int64  \n",
      " 67   Init_Win_bytes_backward      225745 non-null  int64  \n",
      " 68   act_data_pkt_fwd             225745 non-null  int64  \n",
      " 69   min_seg_size_forward         225745 non-null  int64  \n",
      " 70  Active Mean                   225745 non-null  float64\n",
      " 71   Active Std                   225745 non-null  float64\n",
      " 72   Active Max                   225745 non-null  int64  \n",
      " 73   Active Min                   225745 non-null  int64  \n",
      " 74  Idle Mean                     225745 non-null  float64\n",
      " 75   Idle Std                     225745 non-null  float64\n",
      " 76   Idle Max                     225745 non-null  int64  \n",
      " 77   Idle Min                     225745 non-null  int64  \n",
      " 78   Label                        225745 non-null  object \n",
      "dtypes: float64(24), int64(54), object(1)\n",
      "memory usage: 136.1+ MB\n"
     ]
    }
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   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "8ea78af9",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([' Destination Port', ' Flow Duration', ' Total Fwd Packets',\n",
       "       ' Total Backward Packets', 'Total Length of Fwd Packets',\n",
       "       ' Total Length of Bwd Packets', ' Fwd Packet Length Max',\n",
       "       ' Fwd Packet Length Min', ' Fwd Packet Length Mean',\n",
       "       ' Fwd Packet Length Std', 'Bwd Packet Length Max',\n",
       "       ' Bwd Packet Length Min', ' Bwd Packet Length Mean',\n",
       "       ' Bwd Packet Length Std', 'Flow Bytes/s', ' Flow Packets/s',\n",
       "       ' Flow IAT Mean', ' Flow IAT Std', ' Flow IAT Max', ' Flow IAT Min',\n",
       "       'Fwd IAT Total', ' Fwd IAT Mean', ' Fwd IAT Std', ' Fwd IAT Max',\n",
       "       ' Fwd IAT Min', 'Bwd IAT Total', ' Bwd IAT Mean', ' Bwd IAT Std',\n",
       "       ' Bwd IAT Max', ' Bwd IAT Min', 'Fwd PSH Flags', ' Bwd PSH Flags',\n",
       "       ' Fwd URG Flags', ' Bwd URG Flags', ' Fwd Header Length',\n",
       "       ' Bwd Header Length', 'Fwd Packets/s', ' Bwd Packets/s',\n",
       "       ' Min Packet Length', ' Max Packet Length', ' Packet Length Mean',\n",
       "       ' Packet Length Std', ' Packet Length Variance', 'FIN Flag Count',\n",
       "       ' SYN Flag Count', ' RST Flag Count', ' PSH Flag Count',\n",
       "       ' ACK Flag Count', ' URG Flag Count', ' CWE Flag Count',\n",
       "       ' ECE Flag Count', ' Down/Up Ratio', ' Average Packet Size',\n",
       "       ' Avg Fwd Segment Size', ' Avg Bwd Segment Size',\n",
       "       ' Fwd Header Length.1', 'Fwd Avg Bytes/Bulk', ' Fwd Avg Packets/Bulk',\n",
       "       ' Fwd Avg Bulk Rate', ' Bwd Avg Bytes/Bulk', ' Bwd Avg Packets/Bulk',\n",
       "       'Bwd Avg Bulk Rate', 'Subflow Fwd Packets', ' Subflow Fwd Bytes',\n",
       "       ' Subflow Bwd Packets', ' Subflow Bwd Bytes', 'Init_Win_bytes_forward',\n",
       "       ' Init_Win_bytes_backward', ' act_data_pkt_fwd',\n",
       "       ' min_seg_size_forward', 'Active Mean', ' Active Std', ' Active Max',\n",
       "       ' Active Min', 'Idle Mean', ' Idle Std', ' Idle Max', ' Idle Min',\n",
       "       ' Label'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "f72b91eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Destination Port</th>\n",
       "      <th>Flow Duration</th>\n",
       "      <th>Total Fwd Packets</th>\n",
       "      <th>Total Backward Packets</th>\n",
       "      <th>Total Length of Fwd Packets</th>\n",
       "      <th>Total Length of Bwd Packets</th>\n",
       "      <th>Fwd Packet Length Max</th>\n",
       "      <th>Fwd Packet Length Min</th>\n",
       "      <th>Fwd Packet Length Mean</th>\n",
       "      <th>Fwd Packet Length Std</th>\n",
       "      <th>...</th>\n",
       "      <th>act_data_pkt_fwd</th>\n",
       "      <th>min_seg_size_forward</th>\n",
       "      <th>Active Mean</th>\n",
       "      <th>Active Std</th>\n",
       "      <th>Active Max</th>\n",
       "      <th>Active Min</th>\n",
       "      <th>Idle Mean</th>\n",
       "      <th>Idle Std</th>\n",
       "      <th>Idle Max</th>\n",
       "      <th>Idle Min</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>225745.00000</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>225745.000000</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "      <td>2.257450e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8879.61946</td>\n",
       "      <td>1.624165e+07</td>\n",
       "      <td>4.874916</td>\n",
       "      <td>4.572775</td>\n",
       "      <td>939.463346</td>\n",
       "      <td>5.960477e+03</td>\n",
       "      <td>538.535693</td>\n",
       "      <td>27.882221</td>\n",
       "      <td>164.826715</td>\n",
       "      <td>214.907242</td>\n",
       "      <td>...</td>\n",
       "      <td>3.311497</td>\n",
       "      <td>21.482753</td>\n",
       "      <td>1.848261e+05</td>\n",
       "      <td>1.293436e+04</td>\n",
       "      <td>2.080849e+05</td>\n",
       "      <td>1.776201e+05</td>\n",
       "      <td>1.032214e+07</td>\n",
       "      <td>3.611943e+06</td>\n",
       "      <td>1.287813e+07</td>\n",
       "      <td>7.755355e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>19754.64740</td>\n",
       "      <td>3.152437e+07</td>\n",
       "      <td>15.422874</td>\n",
       "      <td>21.755356</td>\n",
       "      <td>3249.403484</td>\n",
       "      <td>3.921834e+04</td>\n",
       "      <td>1864.128991</td>\n",
       "      <td>163.324159</td>\n",
       "      <td>504.892965</td>\n",
       "      <td>797.411073</td>\n",
       "      <td>...</td>\n",
       "      <td>12.270018</td>\n",
       "      <td>4.166799</td>\n",
       "      <td>7.979250e+05</td>\n",
       "      <td>2.102737e+05</td>\n",
       "      <td>9.002350e+05</td>\n",
       "      <td>7.842602e+05</td>\n",
       "      <td>2.185303e+07</td>\n",
       "      <td>1.275689e+07</td>\n",
       "      <td>2.692126e+07</td>\n",
       "      <td>1.983109e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>-1.000000e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>80.00000</td>\n",
       "      <td>7.118000e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>80.00000</td>\n",
       "      <td>1.452333e+06</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>1.640000e+02</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.666667</td>\n",
       "      <td>5.301991</td>\n",
       "      <td>...</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>80.00000</td>\n",
       "      <td>8.805237e+06</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>1.160100e+04</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>10.263203</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.878000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.878000e+03</td>\n",
       "      <td>1.862000e+03</td>\n",
       "      <td>8.239725e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.253838e+06</td>\n",
       "      <td>7.422849e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>65532.00000</td>\n",
       "      <td>1.199999e+08</td>\n",
       "      <td>1932.000000</td>\n",
       "      <td>2942.000000</td>\n",
       "      <td>183012.000000</td>\n",
       "      <td>5.172346e+06</td>\n",
       "      <td>11680.000000</td>\n",
       "      <td>1472.000000</td>\n",
       "      <td>3867.000000</td>\n",
       "      <td>6692.644993</td>\n",
       "      <td>...</td>\n",
       "      <td>1931.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>3.950000e+07</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>1.200000e+08</td>\n",
       "      <td>6.530000e+07</td>\n",
       "      <td>1.200000e+08</td>\n",
       "      <td>1.200000e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Destination Port   Flow Duration   Total Fwd Packets  \\\n",
       "count       225745.00000    2.257450e+05       225745.000000   \n",
       "mean          8879.61946    1.624165e+07            4.874916   \n",
       "std          19754.64740    3.152437e+07           15.422874   \n",
       "min              0.00000   -1.000000e+00            1.000000   \n",
       "25%             80.00000    7.118000e+04            2.000000   \n",
       "50%             80.00000    1.452333e+06            3.000000   \n",
       "75%             80.00000    8.805237e+06            5.000000   \n",
       "max          65532.00000    1.199999e+08         1932.000000   \n",
       "\n",
       "        Total Backward Packets  Total Length of Fwd Packets  \\\n",
       "count            225745.000000                225745.000000   \n",
       "mean                  4.572775                   939.463346   \n",
       "std                  21.755356                  3249.403484   \n",
       "min                   0.000000                     0.000000   \n",
       "25%                   1.000000                    26.000000   \n",
       "50%                   4.000000                    30.000000   \n",
       "75%                   5.000000                    63.000000   \n",
       "max                2942.000000                183012.000000   \n",
       "\n",
       "        Total Length of Bwd Packets   Fwd Packet Length Max  \\\n",
       "count                  2.257450e+05           225745.000000   \n",
       "mean                   5.960477e+03              538.535693   \n",
       "std                    3.921834e+04             1864.128991   \n",
       "min                    0.000000e+00                0.000000   \n",
       "25%                    0.000000e+00                6.000000   \n",
       "50%                    1.640000e+02               20.000000   \n",
       "75%                    1.160100e+04               34.000000   \n",
       "max                    5.172346e+06            11680.000000   \n",
       "\n",
       "        Fwd Packet Length Min   Fwd Packet Length Mean  \\\n",
       "count           225745.000000            225745.000000   \n",
       "mean                27.882221               164.826715   \n",
       "std                163.324159               504.892965   \n",
       "min                  0.000000                 0.000000   \n",
       "25%                  0.000000                 6.000000   \n",
       "50%                  0.000000                 8.666667   \n",
       "75%                  6.000000                32.000000   \n",
       "max               1472.000000              3867.000000   \n",
       "\n",
       "        Fwd Packet Length Std  ...   act_data_pkt_fwd   min_seg_size_forward  \\\n",
       "count           225745.000000  ...      225745.000000          225745.000000   \n",
       "mean               214.907242  ...           3.311497              21.482753   \n",
       "std                797.411073  ...          12.270018               4.166799   \n",
       "min                  0.000000  ...           0.000000               0.000000   \n",
       "25%                  0.000000  ...           1.000000              20.000000   \n",
       "50%                  5.301991  ...           2.000000              20.000000   \n",
       "75%                 10.263203  ...           4.000000              20.000000   \n",
       "max               6692.644993  ...        1931.000000              52.000000   \n",
       "\n",
       "        Active Mean    Active Std    Active Max    Active Min     Idle Mean  \\\n",
       "count  2.257450e+05  2.257450e+05  2.257450e+05  2.257450e+05  2.257450e+05   \n",
       "mean   1.848261e+05  1.293436e+04  2.080849e+05  1.776201e+05  1.032214e+07   \n",
       "std    7.979250e+05  2.102737e+05  9.002350e+05  7.842602e+05  2.185303e+07   \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "25%    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "50%    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "75%    1.878000e+03  0.000000e+00  1.878000e+03  1.862000e+03  8.239725e+06   \n",
       "max    1.000000e+08  3.950000e+07  1.000000e+08  1.000000e+08  1.200000e+08   \n",
       "\n",
       "           Idle Std      Idle Max      Idle Min  \n",
       "count  2.257450e+05  2.257450e+05  2.257450e+05  \n",
       "mean   3.611943e+06  1.287813e+07  7.755355e+06  \n",
       "std    1.275689e+07  2.692126e+07  1.983109e+07  \n",
       "min    0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "25%    0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "50%    0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "75%    0.000000e+00  8.253838e+06  7.422849e+06  \n",
       "max    6.530000e+07  1.200000e+08  1.200000e+08  \n",
       "\n",
       "[8 rows x 78 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "f739de6e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.dropna( axis=0, how='any')\n",
    "df=df.replace(',,', np.nan, inplace=False)\n",
    "df=df.drop(columns=[' Fwd Header Length.1'], axis=1, inplace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "c14682be",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace(\"Infinity\", 0, inplace=True)\n",
    "df['Flow Bytes/s'].replace(\"Infinity\", 0,inplace=True)\n",
    "df[\" Flow Packets/s\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Flow Packets/s\"].replace(np.nan, 0, inplace=True)\n",
    "df['Flow Bytes/s'].replace(np.nan, 0,inplace=True)\n",
    "\n",
    "\n",
    "df[\"Bwd Avg Bulk Rate\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\"Bwd Avg Bulk Rate\"].replace(\",,\", 0, inplace=True)\n",
    "df[\"Bwd Avg Bulk Rate\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "df[\" Bwd Avg Packets/Bulk\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Bwd Avg Packets/Bulk\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Bwd Avg Packets/Bulk\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "\n",
    "df[\" Bwd Avg Bytes/Bulk\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Bwd Avg Bytes/Bulk\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Bwd Avg Bytes/Bulk\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "\n",
    "df[\" Fwd Avg Bulk Rate\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Fwd Avg Bulk Rate\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Fwd Avg Bulk Rate\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "\n",
    "df[\" Fwd Avg Packets/Bulk\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Fwd Avg Packets/Bulk\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Fwd Avg Packets/Bulk\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "\n",
    "df[\"Fwd Avg Bytes/Bulk\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\"Fwd Avg Bytes/Bulk\"].replace(\",,\", 0, inplace=True)\n",
    "df[\"Fwd Avg Bytes/Bulk\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "\n",
    "df[\" CWE Flag Count\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" CWE Flag Count\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" CWE Flag Count\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "df[\" Bwd URG Flags\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Bwd URG Flags\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Bwd URG Flags\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "df[\" Bwd PSH Flags\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Bwd PSH Flags\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Bwd PSH Flags\"].replace(np.nan, 0, inplace=True)\n",
    "\n",
    "df[\" Fwd URG Flags\"].replace(\"Infinity\", 0, inplace=True)\n",
    "df[\" Fwd URG Flags\"].replace(\",,\", 0, inplace=True)\n",
    "df[\" Fwd URG Flags\"].replace(np.nan, 0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "50b142b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Flow Bytes/s\"]=df[\"Flow Bytes/s\"].astype(\"float64\")\n",
    "df[' Flow Packets/s']=df[\" Flow Packets/s\"].astype(\"float64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "88a6eeac",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Bwd Avg Bulk Rate']=df[\"Bwd Avg Bulk Rate\"].astype(\"float64\")\n",
    "df[' Bwd Avg Packets/Bulk']=df[\" Bwd Avg Packets/Bulk\"].astype(\"float64\")\n",
    "df[' Bwd Avg Bytes/Bulk']=df[\" Bwd Avg Bytes/Bulk\"].astype(\"float64\")\n",
    "df[' Fwd Avg Bulk Rate']=df[\" Fwd Avg Bulk Rate\"].astype(\"float64\")\n",
    "df[' Fwd Avg Packets/Bulk']=df[\" Fwd Avg Packets/Bulk\"].astype(\"float64\")\n",
    "df['Fwd Avg Bytes/Bulk']=df[\"Fwd Avg Bytes/Bulk\"].astype(\"float64\")\n",
    "df[' CWE Flag Count']=df[\" CWE Flag Count\"].astype(\"float64\")\n",
    "df[' Bwd URG Flags']=df[\" Bwd URG Flags\"].astype(\"float64\")\n",
    "df[' Bwd PSH Flags']=df[\" Bwd PSH Flags\"].astype(\"float64\")\n",
    "df[' Fwd URG Flags']=df[\" Fwd URG Flags\"].astype(\"float64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "1f56b6e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('Infinity',0.0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "39d587b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.replace('NaN',0.0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "cf07068a",
   "metadata": {},
   "outputs": [
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       "         Destination Port   Flow Duration   Total Fwd Packets  \\\n",
       "0                   54865               3                   2   \n",
       "1                   55054             109                   1   \n",
       "2                   55055              52                   1   \n",
       "3                   46236              34                   1   \n",
       "4                   54863               3                   2   \n",
       "...                   ...             ...                 ...   \n",
       "225740              61374              61                   1   \n",
       "225741              61378              72                   1   \n",
       "225742              61375              75                   1   \n",
       "225743              61323              48                   2   \n",
       "225744              61326              68                   1   \n",
       "\n",
       "         Total Backward Packets  Total Length of Fwd Packets  \\\n",
       "0                             0                           12   \n",
       "1                             1                            6   \n",
       "2                             1                            6   \n",
       "3                             1                            6   \n",
       "4                             0                           12   \n",
       "...                         ...                          ...   \n",
       "225740                        1                            6   \n",
       "225741                        1                            6   \n",
       "225742                        1                            6   \n",
       "225743                        0                           12   \n",
       "225744                        1                            6   \n",
       "\n",
       "         Total Length of Bwd Packets   Fwd Packet Length Max  \\\n",
       "0                                  0                       6   \n",
       "1                                  6                       6   \n",
       "2                                  6                       6   \n",
       "3                                  6                       6   \n",
       "4                                  0                       6   \n",
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       "225741                             6                       6   \n",
       "225742                             6                       6   \n",
       "225743                             0                       6   \n",
       "225744                             6                       6   \n",
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       "         Fwd Packet Length Min   Fwd Packet Length Mean  \\\n",
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       "1                            6                      6.0   \n",
       "2                            6                      6.0   \n",
       "3                            6                      6.0   \n",
       "4                            6                      6.0   \n",
       "...                        ...                      ...   \n",
       "225740                       6                      6.0   \n",
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       "225742                       6                      6.0   \n",
       "225743                       6                      6.0   \n",
       "225744                       6                      6.0   \n",
       "\n",
       "         Fwd Packet Length Std  ...   act_data_pkt_fwd   min_seg_size_forward  \\\n",
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       "\n",
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       "\n",
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       "[225741 rows x 77 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X=df[df.columns[0:-1]]\n",
    "y=df[df.columns[-1]]\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "eca19dab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         BENIGN\n",
       "1         BENIGN\n",
       "2         BENIGN\n",
       "3         BENIGN\n",
       "4         BENIGN\n",
       "           ...  \n",
       "225740    BENIGN\n",
       "225741    BENIGN\n",
       "225742    BENIGN\n",
       "225743    BENIGN\n",
       "225744    BENIGN\n",
       "Name:  Label, Length: 225741, dtype: object"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "a1eddbf0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/buseyarentekin/opt/anaconda3/envs/reinforcementenv/lib/python3.6/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"\n",
      "/Users/buseyarentekin/opt/anaconda3/envs/reinforcementenv/lib/python3.6/site-packages/numpy/core/_methods.py:193: RuntimeWarning: invalid value encountered in subtract\n",
      "  x = asanyarray(arr - arrmean)\n",
      "/Users/buseyarentekin/opt/anaconda3/envs/reinforcementenv/lib/python3.6/site-packages/scipy/stats/stats.py:2500: RuntimeWarning: invalid value encountered in subtract\n",
      "  return (a - mns) / sstd\n",
      "/Users/buseyarentekin/opt/anaconda3/envs/reinforcementenv/lib/python3.6/site-packages/scipy/stats/stats.py:2500: RuntimeWarning: invalid value encountered in true_divide\n",
      "  return (a - mns) / sstd\n"
     ]
    }
   ],
   "source": [
    "from scipy import stats\n",
    "\n",
    "cols = list(X.columns)\n",
    "for col in cols:\n",
    "    X[col] = stats.zscore(X[col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "9deef35b",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Active Std</th>\n",
       "      <th>Active Max</th>\n",
       "      <th>Active Min</th>\n",
       "      <th>Idle Mean</th>\n",
       "      <th>Idle Std</th>\n",
       "      <th>Idle Max</th>\n",
       "      <th>Idle Min</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.327866</td>\n",
       "      <td>-0.515216</td>\n",
       "      <td>-0.186408</td>\n",
       "      <td>-0.210193</td>\n",
       "      <td>-0.285429</td>\n",
       "      <td>-0.151984</td>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.133982</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.188389</td>\n",
       "      <td>-0.355828</td>\n",
       "      <td>-0.231636</td>\n",
       "      <td>-0.061513</td>\n",
       "      <td>-0.231148</td>\n",
       "      <td>-0.226484</td>\n",
       "      <td>-0.47235</td>\n",
       "      <td>-0.28314</td>\n",
       "      <td>-0.478369</td>\n",
       "      <td>-0.391075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.337433</td>\n",
       "      <td>-0.515213</td>\n",
       "      <td>-0.251247</td>\n",
       "      <td>-0.164228</td>\n",
       "      <td>-0.287276</td>\n",
       "      <td>-0.151831</td>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.133982</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.269888</td>\n",
       "      <td>-0.355828</td>\n",
       "      <td>-0.231636</td>\n",
       "      <td>-0.061513</td>\n",
       "      <td>-0.231148</td>\n",
       "      <td>-0.226484</td>\n",
       "      <td>-0.47235</td>\n",
       "      <td>-0.28314</td>\n",
       "      <td>-0.478369</td>\n",
       "      <td>-0.391075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.337484</td>\n",
       "      <td>-0.515214</td>\n",
       "      <td>-0.251247</td>\n",
       "      <td>-0.164228</td>\n",
       "      <td>-0.287276</td>\n",
       "      <td>-0.151831</td>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.133982</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.269888</td>\n",
       "      <td>-0.355828</td>\n",
       "      <td>-0.231636</td>\n",
       "      <td>-0.061513</td>\n",
       "      <td>-0.231148</td>\n",
       "      <td>-0.226484</td>\n",
       "      <td>-0.47235</td>\n",
       "      <td>-0.28314</td>\n",
       "      <td>-0.478369</td>\n",
       "      <td>-0.391075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.891053</td>\n",
       "      <td>-0.515215</td>\n",
       "      <td>-0.251247</td>\n",
       "      <td>-0.164228</td>\n",
       "      <td>-0.287276</td>\n",
       "      <td>-0.151831</td>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.133982</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.269888</td>\n",
       "      <td>-0.355828</td>\n",
       "      <td>-0.231636</td>\n",
       "      <td>-0.061513</td>\n",
       "      <td>-0.231148</td>\n",
       "      <td>-0.226484</td>\n",
       "      <td>-0.47235</td>\n",
       "      <td>-0.28314</td>\n",
       "      <td>-0.478369</td>\n",
       "      <td>-0.391075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.327765</td>\n",
       "      <td>-0.515216</td>\n",
       "      <td>-0.186408</td>\n",
       "      <td>-0.210193</td>\n",
       "      <td>-0.285429</td>\n",
       "      <td>-0.151984</td>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.133982</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.188389</td>\n",
       "      <td>-0.355828</td>\n",
       "      <td>-0.231636</td>\n",
       "      <td>-0.061513</td>\n",
       "      <td>-0.231148</td>\n",
       "      <td>-0.226484</td>\n",
       "      <td>-0.47235</td>\n",
       "      <td>-0.28314</td>\n",
       "      <td>-0.478369</td>\n",
       "      <td>-0.391075</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 77 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Destination Port   Flow Duration   Total Fwd Packets  \\\n",
       "0           2.327866       -0.515216           -0.186408   \n",
       "1           2.337433       -0.515213           -0.251247   \n",
       "2           2.337484       -0.515214           -0.251247   \n",
       "3           1.891053       -0.515215           -0.251247   \n",
       "4           2.327765       -0.515216           -0.186408   \n",
       "\n",
       "    Total Backward Packets  Total Length of Fwd Packets  \\\n",
       "0                -0.210193                    -0.285429   \n",
       "1                -0.164228                    -0.287276   \n",
       "2                -0.164228                    -0.287276   \n",
       "3                -0.164228                    -0.287276   \n",
       "4                -0.210193                    -0.285429   \n",
       "\n",
       "    Total Length of Bwd Packets   Fwd Packet Length Max  \\\n",
       "0                     -0.151984               -0.285679   \n",
       "1                     -0.151831               -0.285679   \n",
       "2                     -0.151831               -0.285679   \n",
       "3                     -0.151831               -0.285679   \n",
       "4                     -0.151984               -0.285679   \n",
       "\n",
       "    Fwd Packet Length Min   Fwd Packet Length Mean   Fwd Packet Length Std  \\\n",
       "0               -0.133982                -0.314579               -0.269509   \n",
       "1               -0.133982                -0.314579               -0.269509   \n",
       "2               -0.133982                -0.314579               -0.269509   \n",
       "3               -0.133982                -0.314579               -0.269509   \n",
       "4               -0.133982                -0.314579               -0.269509   \n",
       "\n",
       "   ...   act_data_pkt_fwd   min_seg_size_forward  Active Mean   Active Std  \\\n",
       "0  ...          -0.188389              -0.355828    -0.231636    -0.061513   \n",
       "1  ...          -0.269888              -0.355828    -0.231636    -0.061513   \n",
       "2  ...          -0.269888              -0.355828    -0.231636    -0.061513   \n",
       "3  ...          -0.269888              -0.355828    -0.231636    -0.061513   \n",
       "4  ...          -0.188389              -0.355828    -0.231636    -0.061513   \n",
       "\n",
       "    Active Max   Active Min  Idle Mean   Idle Std   Idle Max   Idle Min  \n",
       "0    -0.231148    -0.226484   -0.47235   -0.28314  -0.478369  -0.391075  \n",
       "1    -0.231148    -0.226484   -0.47235   -0.28314  -0.478369  -0.391075  \n",
       "2    -0.231148    -0.226484   -0.47235   -0.28314  -0.478369  -0.391075  \n",
       "3    -0.231148    -0.226484   -0.47235   -0.28314  -0.478369  -0.391075  \n",
       "4    -0.231148    -0.226484   -0.47235   -0.28314  -0.478369  -0.391075  \n",
       "\n",
       "[5 rows x 77 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "3ddd05d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([' Destination Port', ' Flow Duration', ' Total Fwd Packets',\n",
       "       ' Total Backward Packets', 'Total Length of Fwd Packets',\n",
       "       ' Total Length of Bwd Packets', ' Fwd Packet Length Max',\n",
       "       ' Fwd Packet Length Min', ' Fwd Packet Length Mean',\n",
       "       ' Fwd Packet Length Std', 'Bwd Packet Length Max',\n",
       "       ' Bwd Packet Length Min', ' Bwd Packet Length Mean',\n",
       "       ' Bwd Packet Length Std', 'Flow Bytes/s', ' Flow Packets/s',\n",
       "       ' Flow IAT Mean', ' Flow IAT Std', ' Flow IAT Max', ' Flow IAT Min',\n",
       "       'Fwd IAT Total', ' Fwd IAT Mean', ' Fwd IAT Std', ' Fwd IAT Max',\n",
       "       ' Fwd IAT Min', 'Bwd IAT Total', ' Bwd IAT Mean', ' Bwd IAT Std',\n",
       "       ' Bwd IAT Max', ' Bwd IAT Min', 'Fwd PSH Flags', ' Bwd PSH Flags',\n",
       "       ' Fwd URG Flags', ' Bwd URG Flags', ' Fwd Header Length',\n",
       "       ' Bwd Header Length', 'Fwd Packets/s', ' Bwd Packets/s',\n",
       "       ' Min Packet Length', ' Max Packet Length', ' Packet Length Mean',\n",
       "       ' Packet Length Std', ' Packet Length Variance', 'FIN Flag Count',\n",
       "       ' SYN Flag Count', ' RST Flag Count', ' PSH Flag Count',\n",
       "       ' ACK Flag Count', ' URG Flag Count', ' CWE Flag Count',\n",
       "       ' ECE Flag Count', ' Down/Up Ratio', ' Average Packet Size',\n",
       "       ' Avg Fwd Segment Size', ' Avg Bwd Segment Size', 'Fwd Avg Bytes/Bulk',\n",
       "       ' Fwd Avg Packets/Bulk', ' Fwd Avg Bulk Rate', ' Bwd Avg Bytes/Bulk',\n",
       "       ' Bwd Avg Packets/Bulk', 'Bwd Avg Bulk Rate', 'Subflow Fwd Packets',\n",
       "       ' Subflow Fwd Bytes', ' Subflow Bwd Packets', ' Subflow Bwd Bytes',\n",
       "       'Init_Win_bytes_forward', ' Init_Win_bytes_backward',\n",
       "       ' act_data_pkt_fwd', ' min_seg_size_forward', 'Active Mean',\n",
       "       ' Active Std', ' Active Max', ' Active Min', 'Idle Mean', ' Idle Std',\n",
       "       ' Idle Max', ' Idle Min'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "8dff9038",
   "metadata": {},
   "outputs": [],
   "source": [
    "features=[\" Fwd Packet Length Max\",\" Flow IAT Std\",\" Fwd Packet Length Std\" ,\n",
    "          \"Fwd IAT Total\",' Flow Packets/s', \" Fwd Packet Length Mean\",  \"Flow Bytes/s\",\n",
    "          \" Flow IAT Mean\", \" Bwd Packet Length Mean\",  \" Flow IAT Max\", \" Bwd Packet Length Std\", ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "e2f7d1d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>-0.487111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.314579</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.585025</td>\n",
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       "      <td>-0.505205</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.285679</td>\n",
       "      <td>-0.557357</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>-0.487111</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-0.585046</td>\n",
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       "      <td>-0.505207</td>\n",
       "      <td>-0.70978</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>-0.557357</td>\n",
       "      <td>-0.269509</td>\n",
       "      <td>-0.487111</td>\n",
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       "      <td>-0.505208</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>-0.585064</td>\n",
       "      <td>-0.794905</td>\n",
       "      <td>-0.505209</td>\n",
       "      <td>-0.70978</td>\n",
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      "text/plain": [
       "    Fwd Packet Length Max   Flow IAT Std   Fwd Packet Length Std  \\\n",
       "0               -0.285679      -0.557357               -0.269509   \n",
       "1               -0.285679      -0.557357               -0.269509   \n",
       "2               -0.285679      -0.557357               -0.269509   \n",
       "3               -0.285679      -0.557357               -0.269509   \n",
       "4               -0.285679      -0.557357               -0.269509   \n",
       "\n",
       "   Fwd IAT Total   Flow Packets/s   Fwd Packet Length Mean  Flow Bytes/s  \\\n",
       "0      -0.487111              NaN                -0.314579           NaN   \n",
       "1      -0.487111              NaN                -0.314579           NaN   \n",
       "2      -0.487111              NaN                -0.314579           NaN   \n",
       "3      -0.487111              NaN                -0.314579           NaN   \n",
       "4      -0.487111              NaN                -0.314579           NaN   \n",
       "\n",
       "    Flow IAT Mean   Bwd Packet Length Mean   Flow IAT Max  \\\n",
       "0       -0.585064                -0.794905      -0.505209   \n",
       "1       -0.585025                -0.789549      -0.505205   \n",
       "2       -0.585046                -0.789549      -0.505207   \n",
       "3       -0.585053                -0.789549      -0.505208   \n",
       "4       -0.585064                -0.794905      -0.505209   \n",
       "\n",
       "    Bwd Packet Length Std  \n",
       "0                -0.70978  \n",
       "1                -0.70978  \n",
       "2                -0.70978  \n",
       "3                -0.70978  \n",
       "4                -0.70978  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X=X[features].copy()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "83509691",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Fwd IAT Total</th>\n",
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       "      <td>6.0</td>\n",
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       "      <td>109.0</td>\n",
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       "      <td>109</td>\n",
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       "      <td>6.0</td>\n",
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       "      <td>52.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>52</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>3</th>\n",
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       "      <td>6.0</td>\n",
       "      <td>3.529412e+05</td>\n",
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       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>666666.66670</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.000000e+06</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Fwd Packet Length Max   Flow IAT Std   Fwd Packet Length Std  \\\n",
       "0                       6            0.0                     0.0   \n",
       "1                       6            0.0                     0.0   \n",
       "2                       6            0.0                     0.0   \n",
       "3                       6            0.0                     0.0   \n",
       "4                       6            0.0                     0.0   \n",
       "\n",
       "   Fwd IAT Total   Flow Packets/s   Fwd Packet Length Mean  Flow Bytes/s  \\\n",
       "0              3     666666.66670                      6.0  4.000000e+06   \n",
       "1              0      18348.62385                      6.0  1.100917e+05   \n",
       "2              0      38461.53846                      6.0  2.307692e+05   \n",
       "3              0      58823.52941                      6.0  3.529412e+05   \n",
       "4              3     666666.66670                      6.0  4.000000e+06   \n",
       "\n",
       "    Flow IAT Mean   Bwd Packet Length Mean   Flow IAT Max  \\\n",
       "0             3.0                      0.0              3   \n",
       "1           109.0                      6.0            109   \n",
       "2            52.0                      6.0             52   \n",
       "3            34.0                      6.0             34   \n",
       "4             3.0                      0.0              3   \n",
       "\n",
       "    Bwd Packet Length Std  \n",
       "0                     0.0  \n",
       "1                     0.0  \n",
       "2                     0.0  \n",
       "3                     0.0  \n",
       "4                     0.0  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X=df[features].copy()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "8717e408",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "936ccfa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_train_test(train, test):\n",
    "    \n",
    "    data = [\n",
    "        Candlestick(x=train.index, open=train['DDoS'], close=train['BENIGN'], name='train'),\n",
    "        Candlestick(x=test.index, open=test['DDoS'], close=test['BENIGN'], name='test')\n",
    "    ]\n",
    "    layout = {\n",
    "         'shapes': [\n",
    "             {'x0': date_split, 'x1': date_split, 'y0': 0, 'y1': 1, 'xref': 'x', 'yref': 'paper', 'line': {'color': 'rgb(0,0,0)', 'width': 1}}\n",
    "         ]\n",
    "    }\n",
    "    figure = Figure(data=data, layout=layout)\n",
    "    iplot(figure)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "a0ba55f9",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'Candlestick' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-110-876b0fb43116>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplot_train_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-109-2f07ceaad0e2>\u001b[0m in \u001b[0;36mplot_train_test\u001b[0;34m(train, test)\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     data = [\n\u001b[0;32m----> 4\u001b[0;31m         \u001b[0mCandlestick\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'DDoS'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'BENIGN'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'train'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m         \u001b[0mCandlestick\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'DDoS'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mclose\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'BENIGN'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'test'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     ]\n",
      "\u001b[0;31mNameError\u001b[0m: name 'Candlestick' is not defined"
     ]
    }
   ],
   "source": [
    "plot_train_test(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b209b8f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split     # import module for train test split\n",
    "\n",
    "X_train, X_test, y_train, y_test=train_test_split(X,y,test_size=0.2, random_state=10)\n",
    "\n",
    "y_test_arr=y_test.as_matrix()\n",
    "\n",
    "def calculate_metrics(true,false,not_detected):\n",
    "\n",
    "  true_positive=0\n",
    "  true_negative=0\n",
    "  false_positive=0\n",
    "  false_negative=0\n",
    "  \n",
    "  if 'BENIGN' in true:\n",
    "    true_positive=sum(true.values())-true['BENIGN']\n",
    "    true_negative=true['BENIGN']\n",
    "  if 'BENIGN' in false:\n",
    "    false_negative=false['BENIGN']\n",
    "  if 'BENIGN' in not_detected:\n",
    "    false_positive=not_detected['BENIGN']\n",
    "  \n",
    "  if true_positive+false_positive==0:\n",
    "    precision=\"undefined\"\n",
    "  else:\n",
    "    precision=(true_positive/(true_positive+false_positive))*100\n",
    "  if true_positive+false_negative ==0:\n",
    "    recall=\"undefined\"\n",
    "  else:\n",
    "    recall=(true_positive/(true_positive+false_negative))*100\n",
    "  accuracy=((true_positive+true_negative)/(true_positive+true_negative+false_positive+false_negative))*100\n",
    "  print(\"========================================\")\n",
    "  print(\" True positives :: \", true_positive)\n",
    "  print(\" True negatives :: \", true_negative)\n",
    "  print(\" False positive :: \", false_positive)\n",
    "  print(\" False negative :: \", false_negative) \n",
    "  print(\" Accuracy :: \", accuracy)\n",
    "  print(\" Recall :: \", recall)\n",
    "  print( \" Precision :: \", precision)\n",
    "  print(\"========================================\")\n",
    "    \n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1156aff",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_confusion_matrix(y_test_arr,yhat):\n",
    "  true={}\n",
    "  false={}\n",
    "  not_detected={}\n",
    "\n",
    "  for x in range(len(y_test_arr)):\n",
    "      if y_test_arr[x]==yhat[x]:\n",
    "        if y_test_arr[x] in true:\n",
    "          true[y_test_arr[x]]=true[y_test_arr[x]]+1\n",
    "        else:\n",
    "          true[y_test_arr[x]]=1\n",
    "      elif y_test_arr[x]!=yhat[x]:\n",
    "        if yhat[x] in false:\n",
    "          false[yhat[x]]=false[yhat[x]]+1\n",
    "\n",
    "          if y_test_arr[x] in not_detected:\n",
    "            not_detected[y_test_arr[x]]=not_detected[y_test_arr[x]]+1\n",
    "          else:\n",
    "            not_detected[y_test_arr[x]]=1\n",
    "\n",
    "        else:\n",
    "          false[yhat[x]]=1\n",
    "\n",
    "          if y_test_arr[x] in not_detected:\n",
    "            not_detected[y_test_arr[x]]=not_detected[y_test_arr[x]]+1\n",
    "          else:\n",
    "            not_detected[y_test_arr[x]]=1\n",
    "      \n",
    "  \n",
    "  calculate_metrics(true,false,not_detected)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "2c503de3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import matplotlib.pyplot as plt # plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "0396c136",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Distribution graphs (histogram/bar graph) of column data\n",
    "def plotPerColumnDistribution(df, nGraphShown, nGraphPerRow):\n",
    "    nunique = df.nunique()\n",
    "    df = df[[col for col in df if nunique[col] > 1 and nunique[col] < 50]] # For displaying purposes, pick columns that have between 1 and 50 unique values\n",
    "    nRow, nCol = df.shape\n",
    "    columnNames = list(df)\n",
    "    nGraphRow = (nCol + nGraphPerRow - 1) / nGraphPerRow\n",
    "    plt.figure(num = None, figsize = (6 * nGraphPerRow, 8 * nGraphRow), dpi = 80, facecolor = 'w', edgecolor = 'k')\n",
    "    for i in range(min(nCol, nGraphShown)):\n",
    "        plt.subplot(nGraphRow, nGraphPerRow, i + 1)\n",
    "        columnDf = df.iloc[:, i]\n",
    "        if (not np.issubdtype(type(columnDf.iloc[0]), np.number)):\n",
    "            valueCounts = columnDf.value_counts()\n",
    "            valueCounts.plot.bar()\n",
    "        else:\n",
    "            columnDf.hist()\n",
    "        plt.ylabel('counts')\n",
    "        plt.xticks(rotation = 90)\n",
    "        plt.title(f'{columnNames[i]} (column {i})')\n",
    "    plt.tight_layout(pad = 1.0, w_pad = 1.0, h_pad = 1.0)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "ed2d4fd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/buseyarentekin/opt/anaconda3/envs/reinforcementenv/lib/python3.6/site-packages/ipykernel_launcher.py:10: MatplotlibDeprecationWarning: Passing non-integers as three-element position specification is deprecated since 3.3 and will be removed two minor releases later.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1920 with 11 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
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    "plotPerColumnDistribution(df, 15, 5)"
   ]
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   "execution_count": null,
   "id": "6d183d34",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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