Table 6 Regression task performance metrics for weak and ensemble classifiers.
Model | MSE | ROC-AUC | MPP |
---|---|---|---|
Lm linear model | 133.0 | 0.455 | 28.4 |
regression tree | 131.3 | 0.469 | 22.7 |
Grad boosted tree | 112.6 | 0.609 | 18.8 |
Random forest | 126.4 | 0.507 | 17.73 |
L1 lm | 121.3 | 0.491 | 23.6 |
L2 lm | 125.3 | 0.509 | 17.7 |
Ensemble 1 | 101.3 | 0.790 | 13.1 |
Ensemble 2 | 101.1 | 0.795 | 12.9 |