Table 3 Statistical summary for the testing set.

From: Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches

Statistical descriptive

wPI

γd(kN/m3)

NFT

δd(kPa)

δc(kPa)

MC (%)

MR(Mpa)

Mean

15.062

18.361

4.221

44.657

27.282

19.345

34.567

Skewness

1.828

0.105

1.321

− 0.129

− 0.032

0.353

3.111

Min

6.932

15.521

0.000

13.803

0.111

12.300

2.999

SD

7.547

1.578

3.934

17.342

11.961

4.520

27.324

Kurtosis

1.113

− 1.489

1.932

− 1.110

− 1.088

− 0.993

13.210

Max

32.192

20.421

20.000

68.903

41.511

42.443

214.000

Back to article page