Table 7.

Performance metrics evaluation of ML models.

Attributes	R2	MAE	MSE	RMSE
Multilinear regression model
Tensile strength	0.953	0.823	1.306	1.142
Flexural strength	0.775	0.284	1.117	1.056
Impact strength	0.801	0.834	1.093	1.045
Hardness	0.835	0.862	1.303	1.141
Decision tree regression model
Tensile strength	-7.006	4.500	23.140	4.810
Flexural strength	-2.677	1.800	4.450	2.109
Impact strength	-16.537	3.050	9.856	3.139
Hardness	-9.817	2.350	6.085	2.466
Random forest regression model
Tensile strength	0.968	0.829	0.906	0.951
Flexural strength	0.939	0.489	0.299	0.546
Impact strength	0.941	0.510	0.325	0.570
Hardness	0.962	0.504	0.294	0.542