BotnetProfiling/knn.txt at master · cihatkececi/BotnetProfiling · GitHub

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k = 1, train-> samting , test -> asagidakiler

Scenario 1
Anomaly Detection:

Classification report:
             precision    recall  f1-score   support

     Botnet       0.73      0.72      0.73       279
 Background       1.00      1.00      1.00    111698

avg / total       1.00      1.00      1.00    111977


Confusion Matrix:
[[   202     77]
 [    74 111624]]

***********************************

Scenario 2
Anomaly Detection:

Classification report:
             precision    recall  f1-score   support

     Botnet       0.81      0.91      0.85       201
 Background       1.00      1.00      1.00     71535

avg / total       1.00      1.00      1.00     71736


Confusion Matrix:
[[  182    19]
 [   43 71492]]

***********************************

Scenario 6
Anomaly Detection:

Classification report:
             precision    recall  f1-score   support

     Botnet       0.85      0.91      0.88       120
 Background       1.00      1.00      1.00     12119

avg / total       1.00      1.00      1.00     12239


Confusion Matrix:
[[  109    11]
 [   19 12100]]

***********************************

Scenario 8
Anomaly Detection:

Classification report:
             precision    recall  f1-score   support

     Botnet       0.69      0.14      0.23      1085
 Background       0.99      1.00      0.99     85983

avg / total       0.99      0.99      0.98     87068


Confusion Matrix:
[[  149   936]
 [   66 85917]]

***********************************

Scenario 9
Anomaly Detection:

Classification report:
             precision    recall  f1-score   support

     Botnet       0.95      0.70      0.80      1382
 Background       0.99      1.00      1.00     61166

avg / total       0.99      0.99      0.99     62548


Confusion Matrix:
[[  966   416]
 [   54 61112]]

***********************************