NACC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Binary classification (CN vs MCI) | NACC | AUC100 | 20 | |
| Alzheimer's Disease Classification | NACC n=289 (test) | Accuracy0.984 | 13 | |
| Alzheimer's disease diagnosis | NACC | Accuracy72.8 | 10 | |
| Alzheimer's Disease Classification | NACC 90% Labels (test) | Accuracy95 | 9 | |
| Alzheimer's Disease Classification | NACC 80% Labels (test) | Accuracy91.9 | 9 | |
| Alzheimer's Disease Classification | NACC 60% Labels (test) | Accuracy85 | 9 | |
| Alzheimer's Disease Classification | NACC 40% Labels (test) | Accuracy76.8 | 9 | |
| Alzheimer's Disease Classification | NACC 20% Labels (test) | Accuracy68.8 | 9 | |
| Alzheimer's Disease Classification | NACC 5% Labels (test) | Accuracy63.3 | 9 | |
| Binary classification | NACC CN versus AD | AUC100 | 8 | |
| Binary Classification | NACC MCI vs AD, Group 3 FPR [0.67, 1] (test) | AUC100 | 5 | |
| Binary Classification | NACC MCI vs AD, Group 2 FPR [0.33, 0.67] (test) | AUC0.981 | 5 | |
| Binary Classification | NACC MCI vs AD, Group 1 FPR [0, 0.33] (test) | AUC95.4 | 5 | |
| Binary Classification | NACC MCI vs AD, All FPR [0, 1] (test) | AUC (NI)97.1 | 5 | |
| Three-class classification | NACC | Metric- | 0 |
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