| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Classification | Breast 30% MCAR | F1 Score46.1 | 12 | |
| Classification | Breast | Accuracy95.6 | 12 | |
| Outlier Detection | Breast | AP46.7 | 11 | |
| Outlier Detection | Breast | AUC65.9 | 11 | |
| Outlier Detection | Breast | AUC-ROC67.3 | 11 | |
| Outlier Detection | Breast | AUC-PR46.9 | 11 | |
| Missing data imputation | Breast 30% MCAR | Avg Error17.8 | 11 | |
| Clustering | Breast | ARI2.19 | 10 | |
| Binary Classification | Breast | Mean F1 Score97.6717 | 8 | |
| Classification | Breast Sine shift | Classification Error (%)3.29 | 8 | |
| Classification | Breast Square shift | Classification Error (%)3.29 | 8 | |
| Out-of-distribution detection | BREAST (test) | AUROC0.903 | 7 | |
| Generic Graph Generation | BREAST (test) | Degree MMD0.036 | 7 | |
| Medical Report Generation | Breast | BLEU-10.73 | 6 | |
| Missing Data Imputation | Breast UCI | AUROC0.993 | 6 | |
| Missing Data Imputation | Breast | RMSE0.0546 | 6 | |
| Spectral Clustering | BREAST CuMiDa 45827 | ARI77 | 5 | |
| Spectral Clustering | BREAST CuMiDa 70947 | ARI0.3 | 5 | |
| Classification | Breast 9,85,201 | Accuracy72.7 | 2 | |
| Medical Image Quality Assessment | Breast T1 Pre-training | SRCC0.8148 | 2 | |
| Dimension Reduction | Breast 45827 | Metric- | 0 | |
| Dimension Reduction | Breast 70947 | Metric- | 0 |