Table 5.
Evaluation measure, % | ||||||
1_a: c = adh, N = 90 M = 81 | ||||||
Acc | PPV | Sens | Spec | AUC | F-measure | |
average | 81 | 80 | 81 | 70 | 79 | 80 |
std | 1.76 | 1.76 | 1.74 | 1.78 | 1.46 | 1.63 |
1_b: c = adh, N = 90, M = 80 | ||||||
Acc | PPV | Sens | Spec | AUC | F-measure | |
average | 73 | 72 | 73 | 62 | 72 | 72 |
std | 2.47 | 2.64 | 2.59 | 3.13 | 2.37 | 2.57 |
2_a: c = med_adh, N = 90, M = 81 | ||||||
Acc | PPV | Sens | Spec | AUC | F-measure | |
average | 90 | 90 | 90 | 72 | 81 | 90 |
std | 1.26 | 1.24 | 1.25 | 3.42 | 2.07 | 1.21 |
2_b: c = med_adh, N = 90, M = 80 | ||||||
Acc | PPV | Sens | Spec | AUC | F-measure | |
average | 79 | 77 | 79 | 41 | 68 | 78 |
std | 2.46 | 2.51 | 2.43 | 5.74 | 4.05 | 2.39 |
Acc: accuracy, PPV: positive predictive value, Sens: sensitivity, Spec: specificity, AUC: area under curve, FS: feature selection and std: standard deviation.