Table 3.

Best result for each dataset.

Dataset	Algorithm	Positive	Neutral	Negative	Average
EEG_ALL	MCC, BAG, RF	74.29	71.43	92.86	79.52
EEG_GFP-ZSCORE	MCC, BAG, RF	62.86	45.00	86.43	64.76
EEG_PSD	MCC, BAG, RF	57.71	65.14	94.29	72.38
EEG_IND	MCC, BAG, RF	75.00	81.62	95.59	84.07
RSP	RF	68.45	58.33	82.74	69.84
HRV	MCC, BAG, RF	75.46	75.46	88.34	79.75
GSR	ASC, RF	84.88	73.26	73.84	77.33
GSR + HRV	MCC, BAG, RF	75.00	78.57	86.43	80.00
GSR + HRV + EEG_ALL	MCC, BAG, RF	75.86	75.86	93.97	81.90
GSR + HRV + EEG_IND	ASC, RF	79.31	90.52	91.38	87.07
GSR_SEL	MCC, BAG, RF	89.29	85.00	80.71	85.00
GSR_SEL + HRV_SEL	RF	95.00	89.29	78.57	87.62
GSR_SEL + HRV_SEL + EEG_IND_SEL	MCC, BAG, RF	77.59	91.38	92.24	87.07

Percentage of positive, neutral and negative ads correctly classified and average.

Bold values indicate the best performance obtained in each test and highlight the optimal combination of features for each dataset.