Table 2 Summary of ML results and significant variable selection.
From: Prediction of tensile strength in aluminum spot welding using machine learning
Model | RMSE | MAE | R2 |
|---|---|---|---|
Linear | 132.57 | 105.79 | 0.86 |
Tree—leaf | 161.81 | 129.12 | 0.79 |
Ensembling—bagging tree | 168.19 | 134.22 | 0.77 |
Ensembling—boosting tree | 208.09 | 166.06 | 0.65 |
SVM—linear | 154.00 | 122.89 | 0.81 |
GPR—exponential kernal | 171.85 | 137.14 | 0.77 |
Kernal—SVM | 193.04 | 154.05 | 0.70 |
3-layer ANN | 488.17 | 389.56 | -0.89 |
