Table 2 Overview of input variables and output variables utilized in this study.

From: On the interpretability of machine and deep learning techniques for predicting CBR of stabilized soil containing agro-industrial wastes

Variables

Mean

Min.

Q25

Q50

Q75

Max.

Std.

Skw.

SDA (%)

3.47

0

0

0

4

20

6.44

1.65

QD (%)

3.46

0

0

0

0

20

6.82

1.70

OPC (%)

1.61

0

0

0

2

8

2.68

1.44

RHA (%)

0.68

0

0

0

0

35

3.64

6.52

GA (%)

1.25

0

0

0

0

12

3.05

2.42

BA (%)

1.25

0

0

0

0

12

3.05

2.42

CA (%)

6.27

0

0

0

0

60

15.24

2.42

PI (%)

15.52

2.10

8.70

14

21.20

38

8.36

0.62

LL (%)

38.38

17

32.50

37.90

44

64

9.47

0.40

PL (%)

22.87

12.80

18.30

22.50

26.60

43.70

5.54

0.50

OMC (%)

20.26

8.91

16

20.84

24

41.76

5.61

0.09

MDD (g/cm3)

1.57

1.25

1.50

1.56

1.65

1.88

0.12

0.30

CBR (%)

15.88

1.86

3.56

4.65

32.43

66.75

17.91

1.10