TABLE 6.

Test results for the remaining four participants after training using data from four participants (2).

	DT	RF	ADB	LR	MLP	SVM	KNN	LDA	LR-CNN	CNN	LSTM
Participant 3	0.743	0.811	0.810	0.746	0.814	0.809	0.771	0.819	0.913	0.811	0.798
Participant 4	0.729	0.815	0.805	0.791	0.817	0.822	0.809	0.822	0.873	0.832	0.822
Participant 7	0.716	0.824	0.803	0.814	0.816	0.821	0.818	0.827	0.857	0.841	0.836
Participant 8	0.704	0.811	0.806	0.801	0.816	0.836	0.766	0.808	0.861	0.856	0.843

DT, decision tree; RF, random forest; ADB, adboost; LR, logistic regression; MLP, multilayer perceptron; SVM, support vector machine; KNN, k-nearest neighbor; LDA, linear discriminant analysis; LR-CNN, logistic regression and convolutional neural network; CNN, convolutional neural network; LSTM, long short-term memory.