TABLE 4. Impact of Barometer Values on EE Prediction Using Machine Learning Approaches.
| Model used |  |
RMSE | MAE |
|---|---|---|---|
| Artificial Neural Networks (ANN) | |||
| Raw Accelerometer (only) | 0.7779 | 1.6528 | 1.2321 |
| Raw Acc. + Bar. | 0.8594 | 1.3302 | 1.0001 |
| Raw Acc. + CE | 0.7838 | 1.6642 | 1.2347 |
| Final Model (BRT reduced) | 0.9201 | 1.0020 | 0.6931 |
| Bagged Regression Tree (BRT) | |||
| Raw Accelerometer (only) | 0.9001 | 1.0310 | 0.5229 |
| Raw Acc. + Bar. | 0.9401 | 0.8610 | 0.4730 |
| Raw Acc. + CE | 0.9101 | 0.9701 | 0.4920 |
| Final model (BRT reduced) | 0.9560 | 0.7300 | 0.4015 |