Table 7 Robust linear fit coefficient, R2 value, highest studentized residuals mad RMSE & NMAD values of the fitting
From: Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Dataset | Model | a | b | R2 | Max studentized residual | RMSE | NMAD |
|---|---|---|---|---|---|---|---|
Training | RF | 1.372 | − 1420.5 | 0.9728 | 1.95 | 94.06 | 102.40 |
XGBoost | 1.429 | − 1638.8 | 0.7787 | 1.95 | 262.03 | 263.05 | |
Testing | RF | 1.433 | − 1614.7 | 0.3828 | 1.88 | 399.87 | 360.08 |
XGBoost | 1.290 | − 1069.1 | 0.4183 | 1.89 | 387.11 | 370.03 |