Table 6 Comparing the evaluation criteria.

Model	Feature	Data set	Metrics
Model	Feature	Data set	R²	MAE (MPa)	RMSE (MPa)	NSE	PI	VAF (%)	OBJ (MPa)	A10-index
ANN	Compressive strength	Train	0.9424	0.024	2.137	0.941	0.028	94.169	0.781	0.941
		Validate	0.9563	0.026	1.836	0.955	0.025	95.535	0.142	0.920
		Test	0.9463	0.029	2.368	0.931	0.031	94.459	0.183	0.880
		All	0.9412	0.025	2.157	0.940	0.028	94.049	1.124	0.929
	Splitting-tensile strength	Train	0.9150	0.045	0.214	0.911	0.028	91.230	0.095	0.924
		Validate	0.9334	0.045	0.190	0.932	0.025	93.330	0.018	1.000
		Test	0.9246	0.043	0.222	0.905	0.029	90.869	0.020	0.960
		All	0.9174	0.045	0.212	0.914	0.028	91.411	0.134	0.940
ANN-BBO	Compressive strength	Train	0.9864	0.022	1.028	0.986	0.013	98.641	0.371	0.983
		Validate	0.9925	0.019	0.787	0.992	0.011	99.247	0.060	1.000
		Test	0.9969	0.014	0.591	0.996	0.008	99.625	0.045	1.000
		All	0.9887	0.020	0.942	0.989	0.012	98.872	0.484	0.988
	Splitting-tensile strength	Train	0.9840	0.019	0.091	0.984	0.012	98.395	0.039	1.000
		Validate	0.9814	0.022	0.109	0.978	0.014	98.118	0.010	1.000
		Test	0.9758	0.025	0.113	0.975	0.015	97.573	0.010	1.000
		All	0.9819	0.020	0.097	0.982	0.012	98.185	0.059	1.000

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