TABLE 5.

Test results for the remaining four participants after training using data from four participants (1).

	DT	RF	ADB	LR	MLP	SVM	KNN	LDA	LR-CNN	CNN	LSTM
Participant 1	0.656	0.811	0.808	0.763	0.816	0.817	0.785	0.824	0.913	0.839	0.822
Participant 5	0.707	0.806	0.798	0.773	0.823	0.815	0.801	0.815	0.926	0.828	0.802
Participant 6	0.773	0.831	0.793	0.787	0.808	0.820	0.800	0.818	0.915	0.779	0.798
Participant 8	0.703	0.802	0.806	0.801	0.824	0.833	0.796	0.820	0.909	0.818	0.802

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.