TABLE 7.

Test results for the remaining four participants after training using data from four participants (3).

	DT	RF	ADB	LR	MLP	SVM	KNN	LDA	LR-CNN	CNN	LSTM
Participant 2	0.750	0.801	0.805	0.820	0.808	0.824	0.862	0.821	0.933	0.812	0.801
Participant 3	0.707	0.823	0.804	0.766	0.801	0.821	0.801	0.810	0.912	0.833	0.826
Participant 4	0.724	0.804	0.833	0.793	0.823	0.809	0.796	0.803	0.929	0.815	0.833
Participant 7	0.717	0.829	0.806	0.817	0.811	0.815	0.807	0.834	0.882	0.822	0.812

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.