Table 6.
Results of the cement mill’s supervised learning models when the data are clustered.
Variable | Model Type | Number of Estimators | Max Depth | Number of Leaves | Hidden Layer Sizes | NRMSE |
---|---|---|---|---|---|---|
Mill Motor | RF | 50 | 10 | - | - | 0.40 |
Mill Differential Pressure | MLP | - | - | - | (5,) | 0.21 |
Separator Motor | XGBoost | 50 | 3 | - | - | 0.53 |
Mill Exit Temperature | XGBoost | 50 | 3 | - | - | 0.37 |
Environmental Dust | LGBM | - | 5 | 8 | - | 0.84 |
Blaine | MLP | - | - | - | (5,) | 0.68 |
Residue | TTR | - | - | - | - | 0.76 |
Mill Vibrations | LGBM | - | 5 | 10 | - | 0.70 |