Table 2.

Comparison of binary classifiers’ performance in the prediction of eustress and distress

	NB	LR	SVM	KNN	MLP	LSTM	CNN-LSTM	DT	RF	XGBoost
	Eustress
Accuracy(%)	68.14	70.32	79.25	83.55	79.29	79.86	80.03	82.21	84.29	85.65
Precision(%)	62.74	65.52	78.07	82.13	79.30	78.42	78.07	81.59	84.47	85.24
Recall(%)	61.74	63.41	72.92	80.79	71.81	73.10	72.92	78.10	80.42	81.60
F1-score(%)	62.23	64.44	75.40	81.45	75.37	75.66	75.40	79.81	82.39	83.38
	Distress
Accuracy(%)	54.03	65.14	70.16	70.73	70.89	75.45	78.35	72.24	74.92	78.90
Precision(%)	53.53	65.20	71.56	71.92	72.29	76.06	78.37	72.12	75.31	79.21
Recall(%)	53.23	64.70	69.29	69.50	69.92	74.60	77.72	72.20	74.03	78.38
F1-score(%)	53.38	64.94	70.40	70.68	71.08	75.32	78.04	72.16	74.66	78.79