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

Table 1

Integrating the detailed information about the specific models used in the study.

	Model type	Model	Acronym used for this research	Hyperparameters
1	Decision tree	Fine tree regression	DT_F	Minimum leaf size
				Surrogate decision splits
2	Support vector machines	Linear SVM	SVM_L	Kernel function
3		Quadratic SVM	SVM_Q
				Kernel scale
4		Cubic SVM	SVM_C	Box constraint
				Epsilon
5	Gaussian process expression	Rational quadratic	GP_RQ	Basic function
6		Squared exponential	GP_SE	Kernel function
7		Matern 5–2	GP_M52
8		Exponential	GP_Ex
				Isotropic kernel
				Kernel scale
				Signal standard deviation
				Sigma
9	Ensembles of trees	Boosted trees	Boosted	Minimum leaf size
10		Bagged trees	Bagged	Number of learners
				Learning rate