Table IV.

Average performance measures (with standard deviations in parentheses; see Methods for measure definitions) of the SVM classifier on the benchmark dataset.

Performance Measure	Performance Value
MCC	0.305 (±0.013)
TPR	0.619 (±0.035)
PRC	0.172 (±0.008)
ACC (%)	98.77 (±0.049)
AUC	0.892 (±0.007)
FPR	0.036 (±0.002)
FR (%)	4.3 (±0.2)

The reported measure values are averages over ten experiments when using the optimal AR, PR, and PT values in each CV fold. The relatively small standard deviations demonstrate the robustness of our method.