Fig. 4
From: A novel stroke classification model based on EEG feature fusion
Training performance of the ApFu fusion feature vector of 1-s EEG segment and TPELGBM classifier. (a) The dataset is divided into a training set and a test set in a 6:4 ratio. (b) The dataset is divided into a training set and a test set in a 7:3 ratio.
