Table 3 Comparison of regression methods1
From: Corrosion prediction for preventive protection of aircraft heritage
Method | \({R}^2\) | MAPE |
|---|---|---|
Extra trees regressor | 0.9147 | 0.2159 |
k-Neighbors regressor | 0.8446 | 0.2597 |
Light Gradient boosting machine | 0.8314 | 0.3645 |
Gaussian process regressor | 0.7708 | 0.3068 |
Decision tree regressor | 0.7478 | 0.2442 |
Gradient boosting regressor | 0.7439 | 0.4802 |
AdaBoost regressor | 0.6336 | 0.4220 |