Table 6 Predictive performance based on selected features and machine learning algorithms based on validation sets and test sets
Datasets | Features | Algorithm | Sen.(%) | Spe.(%) | Acc.(%) | AUC |
|---|---|---|---|---|---|---|
746 | Seq + Str | ANN | 100.0 (100.0)* | 88.2 (94.4) | 94.5 (97.4) | 0.994 (0.995) |
1625 | Seq + Str | ANN | 94.7 (89.4) | 95.2 (96.8) | 95.1 (95.1) | 0.992 (0.994) |
Schilling | Seq + Str + Phy | ANN | 57.1 (27.3) | 96.5 (95.8) | 91.4 (86.6) | 0.895 (0.815) |
Impens | SA | ANN | 71.4 (44.4) | 100.0 (89.8) | 95.7 (80.0) | 0.950 (0.816) |