Prediction of Ultimate Bearing Capacity of Cohesionless Soils Using Soft Computing Techniques

Table 2

Performance evaluation of different models for training dataset.

Performance index	Meyerhof [2]	Hansen [3]	Vesic [4]	SVM*		GP*
				Polykernel; (C = 100; d = 2)	RBF kernel; (C = 250; σ = 3)
R	0.9307	0.9295	0.9408	0.9742	0.9977	0.9923
E	0.7387	0.6908	0.7208	0.9408	0.9948	0.9900
RMSE (kPa)	260.0015	282.8295	268.7726	123.7923	36.8280	65.0650
MBE (kPa)	−78.3587	−95.8701	−103.2620	−9.5919	−3.5807	−0.8618
MARE	19.6545	20.9268	25.6619	19.3968	1.8036	12.9030

∗Present study.