. 2023 Jan 20;9(1):e13020. doi: 10.1016/j.heliyon.2023.e13020

Table 4.

Summary of developed ML regression models.

Regressor		Model	Train		CV		Test	NVAR
Regressor		Model	R²	RMSE	R²	RMSE	R²	NVAR
KNN		M1	94	0.316	91	0.394	97	8
KNN		M2	93	0.345	93	0.352	96	2
LGBM		M3	92	0.353	90	0.403	97	8
LGBM		M4	94	0.302	93	0.352	97	3
XGBOOST		M5	93	0.332	90	0.397	97	11
XGBOOST		M6	92	0.353	90	0.403	97	159
CATBOOST		M7	95	0.277	91	0.376	96	4
CATBOOST		M8	95	0.283	93	0.346	96	1
DT		M9	92	0.353	90	0.403	97	20
DT		M10	100	0.076	91	0.387	92	9
BPNN	1 hidden layer	M11	94	0.305	91	0.384	95	62
	1 hidden layer	M12	93	0.342	88	0.437	91	20
	2 hidden layers	M13	92	0.354	91	0.392	96	159
	2 hidden layers	M14	95	0.28	92	0.374	97	20
	3 hidden layers	M15	98	0.168	94	0.324	97	24
	3 hidden layers	M16	100	0.006	93	0.337	70	186