Dermatology
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Confidence Calibration | dermatology | Confidence Calibration Error0.013 | 66 | |
| Classification | dermatology | Accuracy95.9 | 22 | |
| Multi-class Classification | Dermatology | F1-score98.54 | 15 | |
| Clustering | dermatology | AMI0.92 | 10 | |
| 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 | |
| Classification | Dermatology (5-fold cross-validation) | Accuracy86.87 | 7 | |
| Image Classification | Dermatology | Accuracy56.76 | 7 | |
| Multiclass Classification | Dermatology (test) | DP14.3 | 6 | |
| Manifold Learning | Dermatology | Performance ((TW + CN)/2)96.16 | 5 | |
| Circle Packing | Dermatology large variance | NP10.311 | 4 | |
| Circle Packing | Dermatology small circle radii variance | NP10.233 | 4 | |
| Circle packing | Dermatology | Running time (s)0.01 | 4 | |
| Medical Image Classification | Dermatology (Skin Conditions) | AUC88.1 | 3 |
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