Table 3 Task 1: Best Results of fusion based on selected features from WT + MS-COH.
| Â | Fusion operator | Sensitivity | Specificity | Classification score |
|---|---|---|---|---|
WT+ MS-COH (# of features: 10) | LDC on Average | 70% | 60% | 65% |
WT + MS-COH (# of features: 5) | Majority Vote | 80% | 80% | 80% |
WT + MS-COH (# of features: 29 All WT with scores ≥57.5 + all with scores ≥ 57.5 from MS-COH) | Majority Vote | 60% | 70% | 65% |
WT + MS-COH symmetric combination choice based on High classification score (non algorithmic choice) WT: FL, FR, PL, PR MS-COH: OPL, OPR | LDC on Average | 80% | 50% | 65% |