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Table 2 Performance comparison of algorithms in Weka workbench on the KDD99 dataset [4]

From: Foundations and applications of artificial Intelligence for zero-day and multi-step attack detection

Algorithm Percentage of successful prediction (%) Training time (seconds)
K-Means 78.7 70.7
NEA 92.22 10.63
FCC 89.2 56.2
ID3 72.22 120
J48 92.06 15.85
PART 45.67 169
NBTree 92.28 25.88
SVM 81.38 222.28
Fuzzy logic 91.8 873.9
Naive Bayes 78.32 5.57
BayesNet 90.62 6.28
Decision Table 91.66 66.24
Random Forest Classifier 92.81 491
Jrip 92.30 207.47
OneR 89.31 3.75
MLP 92.03 350.15
SOM 91.65 192.16
GAU 69.9 177.4
MARS 96.5 67.9
Apriori 87.5 18