Article | Classification Technique | Results | |||||||||||
Accuracy | TT (sec) | prediction | TP | TN | FP | FN | Error rate | Precision | Recall | DR | FAR | ||
5: Intrusion Detection with Three based Data Mining classification techniques by using KDDdataset | Hoeffding Tree | 97.05% | . | . | . | . | . | . | 2.9499 | . | . | . | . |
J48 | 98.04% | . | . | . | . | . | . | 1.9584 | . | . | . | . | |
Random Forest | 98.08% | . | . | . | . | . | . | 1.1918 | . | . | . | , | |
Random Tree | 98.03% | . | . | . | . | . | . | 1.9629 | . | . | . | . | |
Req Tree | 98.02% | . | . | . | . | . | . | 1.9738 | . | . | . | . |