Auto-MPG
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| RF compression | Auto MPG | Performance69.4 | 14 | |
| Model Compression | Auto MPG | Performance69.1 | 13 | |
| Conditional Anomaly Detection | Auto MPG UCI ML (2/3, 1/3) train-test split | Mean Anomaly Agreement Score (AUC)72.6 | 10 | |
| Uncertainty Calibration | Auto-MPG MPG3 | MACE0.08 | 6 | |
| Uncertainty Calibration | Auto-MPG MPG2 | MACE0.059 | 6 | |
| Conditional Anomaly Detection | Auto MPG (UCI) (1/3 test) | Mean Anomaly Agreement Score72.6 | 5 | |
| Regression | Auto MPG | Mean Relative Improvement (%)31.8 | 5 | |
| Heteroscedastic Regression | Auto MPG | Coverage @ 95%100 | 3 | |
| Symbolic Distillation | Auto MPG | Mean R^20.7615 | 3 |
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