Table 4.

Comparison of classifiers for three-class and four-class approaches using macroaveraged geometric mean scores for pain stimulation intensity and pain sensation

Features	Classifier	Three-Class Classification		Four-Class Classification
		Pain stimulation Intensity	Pain sensation (VAS)	Pain stimulation intensity	Pain sensation (VAS)
cvxEDA components, TVSymp, MTVSymp	SVML	0.605	0.598	0.331	0.346
	SVMR	0.649	0.664	0.541	0.511
	MLP	0.665	0.674	0.529	0.501
	RF	0.658	0.658	0.523	0.490
sparsEDA components, TVSymp, MTVSymp	SVML	0.632	0.594	0.381	0.341
	SVMR	0.664	0.686	0.549	0.447
	MLP	0.697	0.692	0.569	0.516
	RF	0.689	0.681	0.526	0.511

cvxEDA, convex optimization of electrodermal activity; MLP, multilayer perceptron; MTVSymp, modified time-varying index of electrodermal activity; RF, random forest; sparsEDA, sparse deconvolution of electrodermal activity; SVML, support vector machine linear kernel; SVMR, support vector machine with radial basis function kernel; TVSymp, time-varying index of electrodermal activity; VAS, visual analog scale. The classifier with the highest macroaveraged geometric mean scores is boldface.