| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | car | Accuracy99.9 | 47 | |
| Confidence Calibration | car | Calibration Error1.1 | 44 | |
| Image Retrieval | CAR | Recall@186.5 | 20 | |
| Image Classification | Car | Accuracy81.7 | 13 | |
| Time Series Classification | Car (test) | Accuracy90.2 | 13 | |
| Time-Series Forecasting | Car | MSE0.9197 | 11 | |
| Missing data imputation | Car 30% MCAR | Avg Error0.155 | 11 | |
| Bug Classification | Car-Easy | Accuracy100 | 10 | |
| Classification | car (UCI) | Accuracy94.2 | 9 | |
| Multiclass Classification | car | Weighted F1-score99.1 | 9 | |
| Multiclass imbalanced classification | car | AUC99.9 | 9 | |
| Multiclass imbalanced classification | car | Accuracy99.1 | 9 | |
| Multiclass Imbalanced Classification | car | G-Mean0.992 | 9 | |
| Clustering | Car | Accuracy41.4 | 9 | |
| Multiclass Classification | Car | Average Accuracy96 | 8 | |
| Classification | Car_Eval | AUC99.9 | 8 | |
| Classification | car | Balanced Accuracy100 | 8 | |
| Image Retrieval | CAR | R@173.4 | 8 | |
| Tabular Classification | Car binary | Mean AUC-ROC99.3 | 7 | |
| Multiclass Classification | car | AUC100 | 7 | |
| Fine-Grained Visual Categorization | Car | Accuracy96.1 | 7 | |
| Global counterfactual explanation selection for time-series clustering | Car | Effectiveness74.2 | 6 | |
| Classification | car | ROC AUC1 | 6 | |
| PU Classification | Car semi-synthetic | AUC0.919 | 5 | |
| Multi-Class Classification | Car (test) | Macro F1 Score0.489 | 5 |