| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Retrieval | CAR | Recall@186.5 | 20 | |
| Image Classification | Car | Accuracy81.7 | 13 | |
| Missing data imputation | Car 30% MCAR | Avg Error0.155 | 11 | |
| Bug Classification | Car-Easy | Accuracy100 | 10 | |
| 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 | |
| Classification | car | Balanced Accuracy100 | 8 | |
| Image Retrieval | CAR | R@173.4 | 8 | |
| Fine-Grained Visual Categorization | Car | Accuracy96.1 | 7 | |
| Classification | car | ROC AUC1 | 6 | |
| Object Detection | Car | Accuracy99.8 | 5 | |
| Object Detection | Car Class Images | Accuracy100 | 5 | |
| Time Series Classification | Car (test) | Accuracy90.2 | 5 | |
| Classification | car (test) | Accuracy95.2 | 4 | |
| Synthetic Tabular Data Generation | CAR | DCR0.041 | 4 | |
| Landmark Prediction | Car (test) | Mean Error (%)5.8 | 4 | |
| Time Series Segmentation | Car 4 segments | Precision99.547 | 3 | |
| Image Editing | Car-real-edit | CS0.2485 | 2 | |
| Tabular Data Generation | CAR | MLE0.725 | 2 |