Table 7.

Classification metrics: shape parameters (SP) versus PRV + SP.

Weighted kNN		SP				PRV + SP
		Precision	Recall	F1	Accuracy	Precision	Recall	F1	Accuracy
Valence	Positive	0.68	0.73	0.70	0.66 (0.18)	0.71	0.74	0.72	0.69 (0.16)
	Negative	0.64	0.58	0.61		0.67	0.62	0.64
Arousal	High	0.58	0.58	0.58	0.62 (0.19)	0.59	0.56	0.57	0.62 (0.15)
	Low	0.65	0.65	0.65		0.65	0.68	0.66
Dominance	In control	0.68	0.69	0.68	0.62 (0.17)	0.68	0.83	0.75	0.67 (0.19)
	Out of control	0.53	0.51	0.52		0.63	0.43	0.51
Pleasantness	Pleasant	0.68	0.75	0.71	0.66 (0.20)	0.67	0.70	0.68	0.64 (0.16)
	Unpleasant	0.62	0.54	0.58		0.59	0.56	0.57
Familiarity	Familiar	0.57	0.45	0.50	0.69 (0.16)	0.57	0.41	0.45	0.69 (0.16)
	Unknown	0.74	0.82	0.78		0.74	0.79	0.82
Gaussian SVM		SP				PRV + SP
		Precision	Recall	F1	Accuracy	Precision	Recall	F1	Accuracy
Valence	Positive	0.64	0.77	0.70	0.63 (0.15)	0.65	0.82	0.73	0.66 (0.16)
	Negative	0.63	0.47	0.54		0.68	0.47	0.56
Arousal	High	0.59	0.44	0.50	0.61 (0.18)	0.62	0.48	0.54	0.63 (0.17)
	Low	0.62	0.75	0.68		0.64	0.75	0.69
Dominance	In control	0.65	0.87	0.74	0.65 (0.19)	0.65	0.90	0.90	0.65 (0.21)
	Out of control	0.63	0.31	0.42		0.66	0.28	0.39
Pleasantness	Pleasant	0.62	0.78	0.69	0.61 (0.16)	0.67	0.77	0.72	0.66 (0.16)
	Unpleasant	0.58	0.39	0.47		0.64	0.52	0.57
Familiarity	Familiar	0.84	0.78	0.20	0.71 (0.13)	0.70	0.32	0.44	0.72 (0.16)
	Unknown	0.70	0.39	0.98		0.72	0.93	0.81
Standard deviations of the accuracy are inside brackets