Low-Code Application and Practical Implications of Common Machine Learning Models for Predicting Punching Shear Strength of Concrete Reinforced Slabs

Table 6

Statistical criteria values of design codes and empirical formulas in predicting the punching shear strength of flat slabs without transverse reinforcement.

Reference	Performance measurement
	MAE	MSE	RMSE	R^2	MAPE
ACI 319-19 [80]	103.75	25,296	159.05	0.831	29.62
EC2 [81]	65.29	9,890	99.45	0.934	20.49
BS 8110-97 [82]	57.51	9,461	97.27	0.937	15.58
Jabbar et al. [83]	57.63	9,791	98.95	0.935	16.03
Chetchotisak et al. [7]	57.27	10,555	102.74	0.929	16.88
Elsanadedy et al. [84]	54.10	9,238	96.12	0.938	15.54
FEM simulations (227/379 predictions)	9.49	211	14.53	0.999	2.62
GPR model	16.03	549	23.45	0.996	5.81