Research Article
Gradient Boosted Trees Predictive Models for Surface Roughness in High-Speed Milling in the Steel and Aluminum Metalworking Industry
Table 17
Comparison between models in each dataset.
| Dataset | GBT | SVM | Random Forests | p-value |
| Slots M1 | Accuracy: 83.20% +- 6.27% (40, 4, 5) | Accuracy: 80.20% +- 5.02% (RBF, 10, 0.10) | Accuracy: 87.60% +- 6.64% (80, 5) | 0.2746 | Slots M2 | Accuracy: 72.69% +- 7.19% (60, 6, 4) | Accuracy: 75.77% +- 4.88% (RBF, 10, 1.0) | Accuracy: 77.31% +- 9.80% (30, 8) | 0.4308 | Geometries M1 | Accuracy: 85.29% +- 2.56% (100, 8, 10) | Accuracy: 82.76% +- 2.47% (RBF, 1000, 1.0) | Accuracy: 86.44% +- 3.20% (30, 8) | 0.0263 | Geometries M2 | Accuracy: 83.68% +- 4.98% (40, 4, 8) | Accuracy: 83.27% +- 4.64% (RBF, 1000, 1.0) | Accuracy: 86.12% +- 4.26% (20, 8) | 0.3817 |
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