Predictive Maintenance on AI4I 2020
0.896MSEGradient Boosting
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Gradient Boosting2025.12 | 0.896 | 0.792 | 0.947 | 0.774 | 0.774 | 2.612 | |
| AdaBoost2025.12 | 0.939 | 0.817 | 0.969 | 0.763 | 0.763 | 2.814 | |
| Random Forest2025.12 | 0.944 | 0.784 | 0.972 | 0.762 | 0.762 | 3.466 | |
| Linear Regression2025.12 | 0.949 | 0.824 | 0.974 | 0.761 | 0.761 | 2.399 | |
| XGBoost2025.12 | 0.963 | 0.802 | 0.981 | 0.757 | 0.757 | 2.836 | |
| SVR2025.12 | 1.038 | 0.834 | 1.019 | 0.738 | 0.74 | 3.783 | |
| KNN2025.12 | 1.118 | 0.863 | 1.057 | 0.718 | 0.718 | 3.52 | |
| Decision Tree2025.12 | 1.724 | 0.958 | 1.313 | 0.566 | 0.566 | 4 |