Predicting and Investigating the Permeability Coefficient of Soil with Aided Single Machine Learning Algorithm

Table 1

Distribution value of variables.

	Number of samples	Mean value	Min value	Max value	Q25%	Median	Q75%	Standard deviation	Skewness
Clay content (%)	84	24.694	4.000	64.000	8.775	12.600	44.850	18.577	0.606
Water content (%)	84	34.228	15.090	99.900	18.233	21.135	26.155	26.623	1.499
Liquid limit (%)	84	37.268	18.900	88.930	21.978	27.350	42.913	21.039	1.201
Plastic limit (%)	84	22.214	12.200	54.800	14.500	17.415	22.925	11.356	1.410
Plasticity index	84	15.054	5.140	43.160	6.408	10.335	20.853	10.657	0.968
Density (g/cm^3)	84	2.675	2.580	2.740	2.660	2.680	2.693	0.038	−0.572
Void ratio	84	0.968	0.462	2.634	0.581	0.640	0.794	0.673	1.497
Permeability coefficient × 10^−11 (m/s)	84	1.450	0.300	7.100	0.700	0.800	1.250	1.511	1.996