Before revision:  Experiments show that SeizureNet can reach a weighted F1 score of up to 0.95 for seizure-wise cross validation and 0.62 for patient-wise cross validation for scalp EEG based multi-class seizure type classification.
After revision:  Experiments show that SeizureNet can reach a weighted F1 score of up to 0.94 for seizure-wise cross validation and 0.62 for patient-wise cross validation for scalp EEG based multi-class seizure type classification.