Article | Classification Technique | Results | |||||||||||
Accuracy | TT (sec) | prediction | TP | TN | FP | FN | Error rate | Precision | Recall | DR | FAR | ||
8: Problems of KDD Cup 99 Dataset existed and data preprocessing | Naïve Bayes | 96.31% | 6.16 | 381.45 | . | . | . | . | . | . | . | . | . |
Bayes Net | 99.65% | 43.08 | 57.38 | . | . | . | . | . | . | . | . | . | |
Liblinear | 99.00% | 3557.76 | 6.1 | . | . | . | . | . | . | . | . | . | |
MLP | 92.92% | 22,010.2 | 25.4 | . | . | . | . | . | . | . | . | . | |
IBK | 100.00% | 0.39 | 79,304.62 | . | . | . | . | . | . | . | . | . | |
Vote | 56.84% | 0.17 | 3 | . | . | . | . | . | . | . | . | . | |
OneR | 98.14% | 5.99 | 6.38 | . | . | . | . | . | . | . | . | . | |
J48 | 99.98% | 99.43 | 5.8 | . | . | . | . | . | . | . | . | . | |
Random forest | 100.00% | 122.29 | 4.23 | . | . | . | . | . | . | . | . | . | |
Random Tree | 100.00% | 14.79 | 19.09 | . | . | . | . | . | . | . | . | . | |
9: Problems of KDD Cup 99 Dataset existed and data preprocessing | Naïves Bayes | 90.45% | 3.21 | 116.06 | . | . | . | . | . | . | . | . | . |
Bayes Net | 99.13% | 26.65 | 35.04 | . | . | . | . | . | . | . | . | . | |
Liblinear | 98.95% | 708.36 | 4.27 | . | . | . | . | . | . | . | . | . | |
MLP | 99.66% | 11,245.8 | 53.31 | . | . | . | . | . | . | . | . | . | |
IBK | 100.00% | 0.19 | 48,255.78 | . | . | . | . | . | . | . | . | . | |
Vote | 56.84 | 0.13 | 3.45 | . | . | . | . | . | . | . | . | . | |
OneR | 98.98% | 3.76 | 5.35 | . | . | . | . | . | . | . | . | . | |
J48 | 99.97% | 99.56 | 5.26 | . | . | . | . | . | . | . | . | . | |
Random Forest | 99.99% | 10.89 | 5.63 | . | . | . | . | . | . | . | . | . | |
Random Tree | 100.00% | 10.45 | 4.26 | . | . | . | . | . | . | . | . | . |