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Table 3 AUC of ROC and PR curves of each method on two benchmark datasets

From: A multi-context learning approach for EEG epileptic seizure detection

  CHB-MIT Dataset Bonn Dataset
Method AUC-ROC AUC-PR AUC-ROC AUC-PR
PSVM 0.7283 0.6012 0.6987 0.8111
PNN 0.7754 0.5487 0.8548 0.8608
PSDAEs 0.7166 0.3679 0.9608 0.9620
Context-EEG [17] 0.8784 0.8304 0.9930 0.9925
WT-PSVM 0.8552 0.7411 0.9706 0.8603
WT-PNN 0.9432 0.7701 0.9696 0.9718
WT-PSDAEs 0.8214 0.7577 0.9779 0.9853
WT-CtxEEG 0.9782 0.9249 0.9994 0.9974
WT-CtxFusionEEG 0.9874 0.9649 1.0000 0.9980