Table 6 Error metrics for slump.

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

Model

R²

(mean ± SD)

RMSE

(mean ± SD)

(mm)

MSE

(mean ± SD)

(mm2)

MAE

(mean ± SD)

(mm)

RAE

(mean ± SD)

MPE

(mean ± SD)%

GEP

0.915 ± 0.03

2.48 ± 0.9

6.15 ± 2.1

1.02 ± 0.3

0.289 ± 0.04

–7.03% ± 1.2%

DNN

0.911 ± 0.04

2.51 ± 1.0

6.33 ± 2.4

1.08 ± 0.4

0.306 ± 0.05

–7.59% ± 1.4%

DT

0.865 ± 0.07

3.27 ± 1.3

10.70 ± 3.6

1.72 ± 0.5

0.486 ± 0.06

–15.3% ± 2.8%

SVM

0.590 ± 0.08

2.93 ± 1.5

8.58 ± 4.2

1.47 ± 0.6

0.417 ± 0.07

–2.89% ± 1.9%

RF

0.435 ± 0.09

4.55 ± 1.9

20.72 ± 6.3

2.24 ± 0.8

0.634 ± 0.09

–17.14% ± 3.1%

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