Table 8.8
Comparison of the ADI with NF-TOM-IoT without/with clustering.
 NF-ToN-IoT
ClassificationClustering + Classification without outliers
Decision TreeConfusion matrix:TN=5995, FP=6, FN=3,TP=18870Accuracy: 0.9996381764Confusion matrix: TN=5774,FP=3, FN=5, TP=18843Accuracy:0.9996751269
Random ForestConfusion matrix:TN=5999, FP=2, FN=2,TP=18871Accuracy:0.9998391895Confusion matrix: TN=5774,FP=2, FN=2, TP=18846Accuracy:0.9997969543
Support Vector MachineConfusion matrix:TN=5993, FP=8, FN=11,TP=18862Accuracy: 0.9992361502Confusion matrix: TN=5774,FP=3, FN=6, TP=18842Accuracy:0.9996345178
Logistic RegressionConfusion matrix:TN=5784, FP=217,FN=132, TP=18741Accuracy:0.9859692851Confusion matrix: TN=5583, FP=194, FN=10, TP=18838 Accuracy:0.991715736
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