Table 3.

Accuracy and evaluation matrices scores for each of the data groups.

Dataset	Model	Accuracy	Precision	Recall	F1-Score	AUC	Log Loss
Blood Samples	RF	0.81	0.76	0.92	0.82	0.78	7.6
	SVM	0.81	0.77	0.89	0.82	0.78	7.8
	DT	0.81	0.83	0.78	0.81	0.81	6.71
	XGBoost	0.81	0.78	0.86	0.82	0.77	7.6
	LR	0.80	0.79	0.81	0.80	0.78	7.6
	GBM	0.82	0.82	0.84	0.83	0.82	6.23
	LGBM	0.82	0.80	0.86	0.83	0.82	6.2
General Chemistry	RF	0.81	0.80	0.83	0.82	0.80	6.71
	SVM	0.80	0.76	0.90	0.81	0.79	7.11
	DT	0.68	0.70	0.68	0.69	0.68	11.03
	XGBoost	0.76	0.76	0.78	0.78	0.77	8.15
	LR	0.80	0.75	0.89	0.82	0.79	7.11
	GBM	0.75	0.76	0.76	0.76	0.75	8.63
	LGBM	0.75	0.87	0.82	0.84	0.76	7.11
OC Marker	RF	0.86	0.80	0.97	0.87	0.86	4.79
	SVM	0.85	0.80	0.95	0.86	0.84	5.27
	DT	0.85	0.81	0.92	0.86	0.85	5.2
	XGBoost	0.86	0.80	0.97	0.86	0.86	4.79
	LR	0.83	0.80	0.92	0.85	0.83	5.7
	GBM	0.85	0.80	0.95	0.86	0.84	5.27
	LGBM	0.85	0.80	0.95	0.86	0.84	5.27
Combined	RF	0.88	0.83	0.95	0.89	0.87	4.31
	SVM	0.81	0.77	0.89	0.83	0.80	6.71
	DT	0.78	0.78	0.78	0.78	0.78	7.6
	XGBoost	0.86	0.82	0.95	0.86	0.86	4.79
	LR	0.82	0.79	0.89	0.84	0.82	6.23
	GBM	0.88	0.83	0.95	0.89	0.87	4.31
	LGBM	0.88	0.85	0.92	0.88	0.87	4.31