Table 2 Descriptive statistics of training and testing sets.

From: Estimating the surface chloride concentration of marine concrete utilizing advanced hybrid machine learning models

Statistics

OPC

FA

BFS

SF

SP

WC

Fine agg

Coarse agg

W/B

t

T

Cl content

CC

kg/m3

kg/m3

kg/m3

kg/m3

kg/m3

kg/m3

kg/m3

kg/m3

-

years

oC

gL-1

% wt. of concrete

Random seed: 42 (for reproducibility)

Training set

 Mean

375.7

33.8

7.9

4.9

1.3

188.5

756.6

1007.3

0.5

4.5

17.5

18.9

0.6

 Median

380.0

0.0

0.0

0.0

1.0

180.0

800.0

1020.0

0.5

2.8

16.5

19.0

0.0

 Mode

400.0

0.0

0.0

0.0

1.0

180.0

800.0

1020.0

0.5

5.0

7.0

19.0

0.0

 Std

71.0

61.8

36.2

12.2

1.8

40.7

85.9

92.8

0.1

7.1

9.3

2.6

0.8

 Maximum

182.0

0.0

0.0

0.0

0.0

79.5

552.0

745.0

0.3

0.1

7.0

13.0

0.0

 Minimum

519.0

239.0

225.0

50.0

10.2

311.0

938.0

1305.0

0.7

48.7

50.0

24.0

2.0

 Skewness

-0.3

2.0

4.5

2.5

2.5

1.3

-0.1

0.2

0.9

4.3

0.4

0.3

0.8

Testing set

 Mean

367.4

36.9

10.7

4.3

1.2

194.5

748.8

1005.4

0.5

3.3

17.6

18.7

0.5

 Median

360.0

0.0

0.0

0.0

1.0

180.0

800.0

1020.0

0.5

2.0

14.0

19.0

0.0

 Mode

340.0

0.0

0.0

0.0

1.0

180.0

800.0

1020.0

0.5

2.0

7.0

19.0

0.0

 Std

65.7

57.0

41.5

12.3

1.7

44.4

87.7

90.6

0.1

3.7

9.8

2.6

0.8

 Maximum

182.0

0.0

0.0

0.0

0.0

79.5

552.0

745.0

0.3

0.1

7.0

13.0

0.0

 Minimum

500.0

239.0

213.9

50.0

10.2

311.0

938.0

1305.0

0.7

22.5

50.0

24.0

2.0

 Skewness

-0.4

1.9

3.8

2.9

2.4

1.3

-0.3

0.3

1.0

2.3

0.4

0.3

1.0