Table 12 Results of evaluation
Actual class\Predicted class | APT | Benign | Total | Recognition(%) |
|---|---|---|---|---|
APT | 8(TP) | 1 (FN) | 9(P) | 88.88 (Sensitivity= \(\frac{TP}{P}\)) |
Benign | 12(FP) | 98(TN) | 110(N) | 89.09 (Specificity= \(\frac{TN}{N}\)) |
Total | 20 | 99 | 119 | 89.07(Accuracy= \(\frac{TP+TN}{P+N}\)) |
Other metrics(%) | 40.00 (Precision= \(\frac{TP}{TP+FP}\)) | 88.88 (Recall= \(\frac{TP}{TP+FN}\)) | 55.17 (F-Measure) | 10.92 (Error-rate= \(\frac{FP+FN}{P+N}\)) |