Table 2 ML model performance metrics for predicting UBS and RBS on the test set.

From: ML modeling of ultimate and relative bond strength for corroded rebars based on concrete and steel properties

Algorithm

R2

MAE

RMSE

MAPE

UBS

RBS

UBS

RBS

UBS

RBS

UBS

RBS

MLP

0.833

0.646

2.037

0.167

2.697

0.209

0.495

0.690

SVR

0.785

0.835

2.160

0.108

3.058

0.142

0.452

0.285

DT

0.957

0.954

0.563

0.025

1.361

0.076

0.116

0.081

RF

0.968

0.966

0.753

0.038

1.173

0.065

0.191

0.137

GBoost

0.954

0.922

0.846

0.056

1.416

0.098

0.168

0.128

XGBoost

0.977

0.966

0.480

0.025

1.008

0.065

0.096

0.070

Back to article page