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Table 3 Task 1: Best Results of fusion based on selected features from WT + MS-COH.

From: A decision support framework for the discrimination of children with controlled epilepsy based on EEG analysis

  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%