Table 4 We report the performance of four classifiers in one experiment with best values per row shown in bold font
Measures | LDA | LogR | SVM | NN | NN-SVM |
|---|---|---|---|---|---|
Whole Area | |||||
 AUC | 82.9% | 77.1% | 84.8% | 86.0% | 1.2% |
 AUPRC+ | 60.9% | 53.5% | 72.2% | 71.0% | −1.2% |
 AUPRC− | 54.5% | 56.7% | 53.7% | 53.3% | −0.4% |
Partial Area i = 1 | |||||
 sPA | 75.0% | 69.2% | 78.8% | 79.2% | 0.4% |
 pAUC | 19.2% | 16.0% | 21.3% | 21.6% | 0.3% |
 pAUCc | 47.5% | 37.2% | 49.5% | 48.0% | −1.5% |
Partial Area i = 2 | |||||
 sPA | 90.0% | 82.2% | 89.4% | 92.2% | 2.8% |
 pAUC | 29.7% | 27.1% | 29.5% | 30.4% | 0.9% |
 pAUCc | 18.5% | 22.9% | 17.4% | 21.0% | 3.6% |
Partial Area i = 3 | |||||
 sPA | 100% | 100% | 99.7% | 100% | 0.3% |
 pAUC | 34.0% | 34.0% | 34.0% | 34.0% | 0% |
 pAUCc | 17.0% | 17.0% | 17.9% | 17.0% | −0.9% |
sPA: sum of NN-SVM | 3.5% | ||||
pAUC: sum of NN-SVM | 1.2% | ||||
pAUCc: sum of NN-SVM | 1.2% | ||||