Table 4 CS values ​​obtained from laboratory tests and machine learning models for different fiber types.

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

Fiber type

CS results (MPa)

Laboratory test

KNN

SVR

GPR

XGBR

RFR

ANN

Basalt

34.25

32.44

35.82

34.96

34.23

34.26

30.33

Glass

35.68

34.15

37.24

35.80

35.03

35.11

31.11

Steel

35.93

34.69

37.07

35.88

35.02

35.03

31.82

Polypropylene

34.42

33.58

35.62

35.18

34.58

34.71

30.45

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