Table 1 Descriptive statistics of the dataset parameters.

From: Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete

Parameter

Unit

Type

Min

Max

Mean

Std. Dev.

Fiber type (Basalt, Glass, Steel, Polypropylene)

-

Categorical

-

-

-

-

Fiber content

%

Numerical

0.51

2.0

1.236

0.440

Fiber length

mm

Numerical

6

30.0

18.36

8.615

Fiber diameter

mm

Numerical

0.02

1.0

0.512

0.282

Water-to-cement (w/c) ratio

-

Numerical

0.30

0.6

0.450

0.087

Silica fume content

%

Numerical

0.00

15.0

7.679

4.294

Aggregate size

mm

Numerical

10

20.0

14.80

4.083

Superplasticizer dosage

kg/m³

Numerical

0.00

5.0

2.458

1.477

Curing time

days

Numerical

7

90.0

39.17

30.76

CS (Target)

MPa

Numerical

20.59

45.0

33.01

4.833