TADPOLE
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Alzheimer's disease classification | TADPOLE | AUC100 | 28 | |
| Binary Classification | Tadpole CN vs MCI (test) | AUC100 | 20 | |
| Binary Classification | Tadpole MCI vs AD (test) | AUC1 | 12 | |
| Alzheimer's disease progression prediction | TADPOLE (transductive) | Accuracy88.7 | 6 | |
| Longitudinal cortical thickness prediction | TADPOLE (All) | MAE0.092 | 6 | |
| Longitudinal cortical thickness prediction | TADPOLE AD | MAE0.099 | 6 | |
| Longitudinal cortical thickness prediction | TADPOLE (MCI) | MAE0.092 | 6 | |
| Longitudinal cortical thickness prediction | TADPOLE (CN) | MAE0.082 | 6 | |
| Progression Event Prediction | TADPOLE | AUROC0.912 | 5 | |
| MMSE Score Prediction | TADPOLE | MAE1.619 | 5 | |
| Three-class classification | Tadpole Dataset | Metric- | 0 |
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