Table 6 Descriptive statistics of the input variables and compressive strength.

From: Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis

Inputs

Mean

Minimum

Maximum

Skewness

Standard deviation

Variance

Kurtosis

Cement

427.94

272.25

550

-0.337

86.4137

7467.322

-0.845

RHA

91.93

0

222.75

0.274

72.2829

5224.821

-1.034

FA

701.63

675

825

1.919

52.8816

2796.467

1.708

RCA

448.43

0

1080

0.011

350.2647

122685.331

-1.238

NCA

460.93

0

1080

0.156

349.7863

122350.483

-1.283

Water

180.39

164

205

1.488

11.1240

123.743

1.046

SP

10.74

5.44

12

-1.593

2.4081

5.799

0.774

Sodium sulfate

6.96

0

14.85

-0.005

6.9503

48.307

-2.012

Age

46.79

3

120

0.551

39.1084

1529.469

-1.092

Compressive strength

42.68

6.32

93

0.186

17.6882

312.873

-0.277