Table 3 The results of TPELGBM classifier with different features of 1-s EEG segment.

From: A novel stroke classification model based on EEG feature fusion

Classifier

 

Accuracy

Precision

Recall

f1-score

DT

1s

0.9231

0.9226

0.9224

0.9225

3s

0.6121

0.6103

0.6096

0.6099

SVM

1s

0.8511

0.8468

0.8524

0.8496

3s

0.8052

0.8079

0.8081

0.8080

RF

1s

0.9387

0.9255

0.9108

0.9166

3s

0.9044

0.8962

0.8928

0.8889

TEPLGBM

1s

0.9689

0.9676

0.9669

0.9672

3s

0.9372

0.9266

0.9070

0.9167

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