Table 7.

Prediction results with combined image and KBO numerical data (accuracy: ACC; precision: PRE).

Subset of Variables
		KBO			KBO + Face			KBO + Face PCA
		ACC	AUC	PRE	ACC	AUC	PRE	ACC	AUC	PRE
Pitcher	LR	0.773	0.869	0.783	0.700	0.763	0.6	0.711	0.789	0.613
	RF	0.758	0.865	0.704	0.652	0.674	0.267	0.756	0.769	0.613
	XGBoost	0.744	0.754	0.683	0.727	0.700	0.67	0.710	0.751	0.590
	LightGBM	0.713	0.869	0.679	0.621	0.684	0.467	0.711	0.757	0.567
	CatBoost	0.744	0.874	0.690	0.696	0.746	0.533	0.726	0.777	0.583
Batter	LR	0.911	0.933	0.933	0.888	0.978	0.72	0.889	0.967	0.72
	RF	0.844	0.933	0.77	0.822	0.928	0.683	0.867	0.956	0.733
	XGBoost	0.800	0.894	0.783	0.822	0.944	0.75	0.822	0.939	0.75
	LightGBM	0.667	0.5	0	0.667	0.5	0	0.667	0.5	0
	CatBoost	0.800	0.922	0.75	0.844	0.933	0.783	0.844	0.956	0.783