Dermatology
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Confidence Calibration | dermatology | Confidence Calibration Error0.013 | 66 | |
| Clustering | dermatology | AMI0.92 | 26 | |
| Multi-view Clustering | Dermatology | Accuracy95.25 | 24 | |
| Classification | dermatology | Accuracy95.9 | 22 | |
| Multi-class Classification | Dermatology | F1-score98.54 | 15 | |
| Stationary Clustering | Dermatology | ARI66.1 | 13 | |
| Nonstationary backward transfer | Dermatology | BWT-ARI-0.088 | 12 | |
| Multiclass Classification | dermatology | Weighted F197.3 | 9 | |
| Multiclass imbalanced classification | dermatology | AUC0.999 | 9 | |
| Multiclass imbalanced classification | dermatology | Accuracy97.3 | 9 | |
| Multiclass Imbalanced Classification | dermatology | G-Mean1 | 9 | |
| Medical image reconstruction | Dermatology | rFID22.27 | 8 | |
| Incremental Clustering | Dermatology | Avg Inc ARI0.56 | 7 | |
| Plane Clustering | Dermatology UCI | CPU Time (s)0.0012 | 7 | |
| Clustering | Dermatology (UCI) | Accuracy74.73 | 7 | |
| Classification | Dermatology (5-fold cross-validation) | Accuracy86.87 | 7 | |
| Image Classification | Dermatology | Accuracy56.76 | 7 | |
| Multiclass Classification | Dermatology (test) | DP14.3 | 6 | |
| Dimensionality Reduction | Dermatology | Runtime (s)0.019 | 5 | |
| kNN Classification | Dermatology | Accuracy98.1 | 5 | |
| Manifold Learning | Dermatology | Performance ((TW + CN)/2)96.16 | 5 | |
| Classification | dermatology Out-of-sample | Mean Error15.66 | 4 | |
| Classification | Dermatology In-sample | Mean Error13.27 | 4 | |
| Circle Packing | Dermatology large variance | NP10.311 | 4 | |
| Circle Packing | Dermatology small circle radii variance | NP10.233 | 4 |
Showing 25 of 27 rows