Fig. 8
From: Combining meta and ensemble learning to classify EEG for seizure detection

The 5-fold cross-validation result for patient 6, with the fifth fold being the one fold added by splitting the excessively long record into two parts.
From: Combining meta and ensemble learning to classify EEG for seizure detection
The 5-fold cross-validation result for patient 6, with the fifth fold being the one fold added by splitting the excessively long record into two parts.