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Table 2 The accuracy, FPR, TPR and G-Mean of each classifier when using the best mean settings (i

From: Detecting unknown malicious code by applying classification techniques on OpCode patterns

Classifier Best averaged settings Classifier optimal settings Difference in accuracy
  Accuracy TPR FPR G-Means Optimal settings Accuracy  
RF 95.146 0.843 0.020 0.909 6-gram; TF; GR; top300 95.375 0.229
BDT 94.436 0.850 0.031 0.908 2-gram; TF; FS; top300 94.649 0.213
DT 93.009 0.835 0.045 0.893 2-gram; TF; FS; top300 93.741 0.732
LR 92.965 0.819 0.041 0.886 2-gram; TF; DF; top300 92.965 0.000
ANN 92.136 0.785 0.043 0.867 3-gram; TF; DF; top300 92.199 0.063
SVM 92.136 0.785 0.043 0.867 3-gram; TF; DF; top300 92.199 0.063
NB 84.537 0.517 0.068 0.694 5-gram; TF; FS; top50 85.802 1.265
BNB 84.537 0.517 0.068 0.694 2-gram; TF; DF; top50 86.683 2.146
  1. The table also depicts the optimal settings of each classifier and the difference in accuracy with the averaged settings.