Table 5.

Best score for each combination of selected signals (with a segmentation level of 1).

Selected signal	Best classifier	Best accuracy [Mean (SD)]
EDA	RF	0.73 (0.15)
ECG	RF	0.89 (0.09)
RESP	RF	0.88 (0.15)
EDA + ECG	RF	0.89 (0.09)
EDA + RESP	RF	0.89 (0.13)
ECG + RESP	MLP	0.94 (0.06)
EDA + ECG + RESP	SVC/MLP	0.92 (0.09)

Bold values show the best score achieved by the model.