Tab. 2.
Method | ACC | AUC | SEN | SPE | Youden | F-score | BAC |
---|---|---|---|---|---|---|---|
LON | 0.6753 | 0.7087 | 0.6951 | 0.6528 | 0.3479 | 0.6951 | 0.6739 |
HON | 0.8247 | 0.8826 | 0.8537 | 0.7917 | 0.6453 | 0.8383 | 0.8227 |
HON + LON | 0.8377 | 0.9075 | 0.8415 | 0.8333 | 0.6748 | 0.8466 | 0.8374 |
Abbreviations: ACC, accuracy; AUC, area under curve; SEN, sensitivity; SPE, specificity; BAC, balanced accuracy; LON, classification using LON features only (CLON); HON, classification using HON features only (CHON), and HON + LON, ensemble classification using both HON and LON features (CHON+LON). The bold contents indicate the proposed methods (both CHON and CHON+LON).