Heart
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Boolean Matrix Factorization | heart | BMF Error-1 | 30 | |
| Medical Image Segmentation | Heart Task-1 | Dice Score87.65 | 26 | |
| Medical Image Segmentation | Heart (test) | DSC97.17 | 16 | |
| Binary Classification | heart (test) | Error Rate16.25 | 16 | |
| Tabular Classification with Feature Selection | Heart | Accuracy83.11 | 14 | |
| Tabular Classification | Heart (test) | Accuracy84.7 | 14 | |
| Tabular Anomaly Detection | Heart | AUC ROC0.842 | 14 | |
| Classification | heart (val) | AUROC0.951 | 12 | |
| Missing data imputation | Heart 30% MCAR | Average Error0.15 | 11 | |
| Classification | Heart | Accuracy90.2 | 11 | |
| 3D Surface Reconstruction | Heart 100 | Chamfer Distance0.38 | 10 | |
| Multiclass Classification | heart | Weighted F1-score83.6 | 9 | |
| Multiclass Imbalanced Classification | heart | G-Mean81.6 | 9 | |
| Gene Representation Learning | Heart (test) | Average Score0.77 | 9 | |
| Gene embedding | Heart | Average Rank2.67 | 9 | |
| Clustering | Heart | NMI14.79 | 8 | |
| Binary Classification | Heart | Mean F10.8751 | 8 | |
| Multi-label classification | heart | Accuracy52.01 | 7 | |
| Classification | heart | ROC AUC0.92 | 6 | |
| Classification | heart | Latency (s)0.001 | 6 | |
| MCMC Sampling | Heart | Max ESS4,864.278 | 5 | |
| Missing Data Imputation | Heart | Runtime (s)0.1 | 5 | |
| Classification | heart (test) | Loss0.4287 | 4 | |
| Conditional-independence (belief sufficiency) testing | Heart Expert-Constructed Bayesian Network | CMI0.1454 | 4 | |
| Monotone Choice Probabilities | Heart | Ratio Y/(N+Y)0 | 4 |
Showing 25 of 28 rows