Table 5.

Different metrics of the dataset using different ML models.

Elastic Constant	ML Models	R2 Train	R2 Test	MAE Train	MAE Test	RMSE Train	RMSE Test
	GBR	0.995	0.97	4.74	10.24	6.17	13.7
C11	RF	0.995	0.95	6.31	12.17	8.25	16.69
	XGBoost	0.994	0.964	5.2	11.52	6.99	15.5
	GBR	0.985	0.803	2.19	8.25	3.77	9.88
C12	RF	0.979	0.815	3.032	8.2	4.46	10.10
	XGBoost	0.959	0.812	4.392	8.23	6.16	10.39
	GBR	0.994	0.787	2.20	10.38	2.67	14.45
C44	RF	0.981	0.761	3.58	10.86	4.62	15.4
	XGBoost	0.967	0.787	4.622	9.84	6.06	14.95