Table 18 For the training data, a comparison of the outcomes of 10-fold cross-validation [35]
From: A review of optimization techniques and algorithms used for FRP applications in civil engineering
Datasets | Methods | R2 | MAE | RMSE | MRE |
|---|---|---|---|---|---|
Dataset 1 | MLR | 0.08 | 3.13 | 1.35 | 0.17 |
SVM | 0.82 | 1.39 | 0.96 | 0.11 | |
ANN | 0.72 | 1.82 | 1.09 | 0.13 | |
Dataset 2 | MLR | 0.88 | 1.30 | 1.01 | 0.09 |
SVM | 0.91 | 1.14 | 0.92 | 0.08 | |
ANN | 0.88 | 1.34 | 1.01 | 0.09 |