Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming

Table 11

Statistical results of the sensitivity analysis.

Best model	Factor missing	RMSE	R ^2	DW
MLR	GR	20.94967	0.8075	1.71827
	F200	24.93993	0.7273	1.69628
	S	21.59408	0.7955	1.65002
	PL	21.41879	0.7988	1.69307
	LL	21.33464	0.8004	1.6908
	MDD	22.76174	0.7728	1.81755
	OMC	22.50085	0.778	1.80682
PQ	GR	16.06837	0.8868	1.48538
	F200	16.75109	0.877	1.24835
	S	16.10003	0.8863	1.4504
	PL	16.95178	0.874	1.55601
	LL	16.87631	0.8751	1.53486
	MDD	20.47408	0.8162	1.80475
	OMC	16.45562	0.8813	1.68452
GEP	GR	23.649	0.762	1.609
	F200	23.5512	0.762	1.609
	PI	22.3814	0.788	1.774
	MDD	25.2513	0.7302	1.771
	OMC	25.5221	0.721	1.767