A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals

Journal of Big Data

Table 4 Results of performance metrics for liking classification

Time	Classifier	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
0 to 15 s	SVM	64.37	64.37	96.96	78.27
	LR	66.43	66.56	98.56	80.42
	DT	61.12	66.40	85.00	72.80
	KNN	62.24	67.96	81.36	74.06
	LDA	64.45	64..56	99.51	78.95
15 to 30 s	SVM	67.76	67.76	100	80.44
	LR	68.32	69.33	96.77	81.71
	DT	68.05	68.07	100	81.01
	KNN	65.48	69.25	88.54	77.76
	LDA	67.03	67.29	99.06	80.15
30 to 45 s	SVM	71.51	70.45	99.76	83.48
	LR	69.54	69.08	99.30	81.48
	DT	68.08	68.08	100	81.01
	KNN	74.28	77.49	98.05	86.57
	LDA	67.50	67.50	99.53	80.45
45 to 60 s	SVM	67.18	68.18	100	80.07
	LR	68.08	68.05	98.95	80.85
	DT	67.78	68.09	99.30	80.79
	KNN	63.12	68.03	86.45	76.16
	LDA	67.34	67.34	99.76	80.40