Table 4.

Comparison of mean F1-Scores of Arousal and Valence recognition per participant and device from Dataset I with three classifiers using progressive validation. Bold values indicate the best-performing model per participant and dimension. The mean total represents the calculated average of all models’ F1-Scores.

Subject ID		ARF		SRP		LR
		Crown	Muse	Crown	Muse	Crown	Muse
Arousal	3	0.902	0.885	0.895	0.898	0.8	0.785
	4	0.836	0.794	0.838	0.845	0.793	0.604
	5	0.651	0.812	0.699	0.827	0.764	0.682
	6	0.836	0.843	0.863	0.889	0.771	0.62
	7	0.958	0.833	0.933	0.878	0.841	0.725
	8	0.889	0.749	0.893	0.783	0.683	0.584
	9	0.888	0.921	0.836	0.931	0.756	0.703
	10	0.969	0.903	0.951	0.915	0.816	0.898
	11	0.938	0.768	0.955	0.861	0.765	0.908
	12	0.864	0.871	0.884	0.878	0.669	0.697
	13	0.792	0.913	0.8	0.887	0.701	0.734
	Mean	0.866	0.845	0.868	0.872	0.76	0.722
Valence	3	0.837	0.887	0.811	0.876	0.716	0.712
	4	0.841	0.69	0.773	0.859	0.804	0.524
	5	0.546	0.734	0.639	0.748	0.781	0.58
	6	0.713	0.687	0.785	0.778	0.73	0.393
	7	0.935	0.666	0.926	0.757	0.776	0.616
	8	0.813	0.551	0.819	0.623	0.594	0.444
	9	0.812	0.844	0.721	0.863	0.72	0.561
	10	0.982	0.859	0.979	0.871	0.74	0.874
	11	0.924	0.653	0.957	0.811	0.64	0.884
	12	0.889	0.756	0.914	0.784	0.633	0.663
	13	0.584	0.826	0.6	0.775	0.543	0.595
	Mean	0.807	0.735	0.819	0.787	0.698	0.622