Table 4 AVDL frequency domain evaluation.

Emotion	Model	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	Standard deviation	Computational efficiency (s)
Arousal	SVM	0.6060	0.6060	0.6060	0.6060	0.0194	1.2465
	KNN	0.6272	0.6272	0.6272	0.6272	0.0221	0.1389
	MLP	0.5971	0.5971	0.5971	0.5971	0.0256	6.6987
	1D-CNN	0.7072	0.7072	0.7072	0.7072	0.0368	0.1489
	GBM	0.8213	0.8213	0.8213	0.8213	0.0314	0.0821
	EmoTrans	0.8569	0.8569	0.8569	0.8569	0.0278	0.0636
Valence	SVM	0.5725	0.5725	0.5725	0.5725	0.0178	1.4950
	KNN	0.6016	0.6016	0.6016	0.6016	0.0335	0.0741
	MLP	0.6027	0.6027	0.6027	0.6027	0.0287	8.7606
	1D-CNN	0.7872	0.7872	0.7872	0.7872	0.0348	0.0936
	GBM	0.8314	0.8314	0.8314	0.8314	0.0364	0.0791
	EmoTrans	0.8769	0.8769	0.8769	0.8769	0.0428	0.4211
Dominance	SVM	0.6351	0.6351	0.6351	0.6351	0.0257	1.3081
	KNN	0.6261	0.6261	0.6261	0.6261	0.0245	0.0784
	MLP	0.6262	0.6262	0.6262	0.6262	0.0196	8.1426
	1D-CNN	0.7661	0.7661	0.7661	0.7661	0.0347	0.0674
	GBM	0.8311	0.8311	0.8311	0.8311	0.0309	0.0781
	EmoTrans	0.8962	0.8962	0.8962	0.8962	0.0196	0.2426
Liking	SVM	0.5681	0.5681	0.5681	0.5681	0.0397	1.3657
	KNN	0.6072	0.6072	0.6072	0.6072	0.0368	0.0736
	MLP	0.5569	0.5569	0.5569	0.5569	0.0228	9.2211
	1D-CNN	0.7961	0.7961	0.7961	0.7961	0.0245	0.0784
	GBM	0.8304	0.8304	0.8304	0.8304	0.0281	0.0791
	EmoTrans	0.8762	0.8762	0.8762	0.8762	0.0196	0.1326

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