Table 3 Descriptive analysis.

From: Explainable machine learning and ensemble models for predicting fresh properties of self consolidating concrete

 

Cement

(kg/m3)

Total powder

(TP) (kg/m3)

Fine aggregate

(FA) (kg/m3)

Coarse aggregate

(CA) (kg/m3)

Water

(kg/m3)

Adm%

Maximum grain

size (MGS)

(mm)

Mean

385.21

511.91

840.53

776.01

187.07

1.34

15.58

Standard error

2.12

1.95

2.66

2.65

0.55

0.03

0.08

Median

392

518

848.15

790

186

1.1

16

Mode

400

550

890

900

200

0.37

16

Standard deviation

102.08

94

128.21

127.73

26.58

1.34

3.73

Sample variance

10421.1

8835.92

16438.5

16313.7

706.69

1.79

13.95

Kurtosis

0.07

3.01

5.17

2.06

3.42

20.12

0.05

Skewness

-0.2

0.12

-1.28

-0.94

0.89

3.72

0.33

Range

707

742

966

934.4

229.9

12.76

22

Minimum

108.3

180

234

247.6

101.6

0.08

8

Maximum

707

922

1200

1182

331.5

12.84

30

Largest (1)

707

922

1200

1182

331.5

12.84

30

Smallest (1)

0

180

234

247.6

101.6

0.08

8

Confidence level (95.0%)

4.16

3.83

5.22

5.2

1.08

0.05

0.15