Table 6 Wavelet domain evaluation results.

Emotion	Model	Mean accuracy (%)	Precision (%)	Recall (%)	F1-score (%)	Standard deviation	Time taken (s)
Arousal	SVM	0.6094	0.6094	0.6094	0.6094	0.0326	3.4850
	KNN	0.6049	0.6049	0.6049	0.6049	0.0258	0.1443
	MLP	0.5971	0.5971	0.5971	0.5971	0.0250	12.9017
	1D-CNN	0.8869	0.8869	0.8869	0.8869	0.7248	0.1765
	GBM	0.8813	0.8813	0.8813	0.8813	0.8714	0.1824
	EmoTrans	0.9045	0.9045	0.9045	0.9045	0.0425	0.0803
Valence	SVM	0.5815	0.5815	0.5815	0.5815	0.0327	3.7467
	KNN	0.5703	0.5703	0.5703	0.5703	0.0271	0.0744
	MLP	0.6016	0.6016	0.6016	0.6016	0.0149	12.2344
	1D-CNN	0.8142	0.8142	0.8142	0.8142	0.0238	1.3745
	GBM	0.8201	0.8201	0.8201	0.8201	0.0244	0.0724
	EmoTrans	0.9312	0.9312	0.9312	0.9312	0.0525	0.0623
Dominance	SVM	0.6005	0.6005	0.6005	0.6005	0.0414	3.2241
	KNN	0.6138	0.6138	0.6138	0.6138	0.0345	0.0699
	MLP	0.6094	0.6094	0.6094	0.6094	0.0465	12.2588
	1D-CNN	0.7932	0.7932	0.7932	0.7932	0.0128	0.2730
	GBM	0.8032	0.8032	0.8032	0.8032	0.0278	0.4210
	EmoTrans	0.9021	0.9021	0.9021	0.9021	0.0357	0.3743
Liking	SVM	0.5849	0.5849	0.5849	0.5849	0.0348	3.5765
	KNN	0.5815	0.5815	0.5815	0.5815	0.0455	0.0703
	MLP	0.5882	0.5882	0.5882	0.5882	0.0259	10.9442
	1D-CNN	0.7934	0.7934	0.7934	0.7934	0.0218	0.5661
	GBM	0.8013	0.8013	0.8013	0.8013	0.0214	0.7841
	EmoTrans	0.9113	0.9113	0.9113	0.9113	0.0921	0.3523

Quick links

Search