Botnet Forensic Analysis Using Machine Learning

Table 3

Comparison chart of ensemble of classifier.

Classifier	AdaBoost-DT	AdaBoost-KNN	Bagging-DT	Bagging-KNN	Bagging-SVM	Voting-KNN + DT	Voting-DT + SVM	Voting-SVM + KNN
Accuracy	98.36	94.65	95.30	94.77	75.99	95.47	85.06	94.65
Precision	98.85	95.0	95.25	94.89	81.07	96.0	87.0	95.0
Recall	98.23	95.0	95.48	95.0	76.05	95.78	85.0	95.0
F1 score	98.54	95.0	95.76	94.42	66.78	95.23	83.0	95.0