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Table 3 The results obtained from the proposed models

From: Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning

Models

Optimizers

Hybrid models

Section

Statistic evaluator

R2

RMSE

MDAPE

MAE

U95

ANFIS

HBA

ANHB

Train

98.93

3.241

1.418

2.435

8.963

Test

99.58

2.112

1.153

1.845

5.901

ANFIS

COA

ANCO

Train

97.32

5.148

1.677

3.449

14.21

Test

99.20

2.973

1.589

2.669

8.271

ANFIS

GNDO

ANGN

Train

95.31

6.750

1.701

3.909

18.71

Test

98.74

3.719

1.824

3.048

10.33