Model card
ASD-SWNet.
Researchopen-sourceShared-weight CNN
76.52% accuracy, 80.65% recall, 0.81 AUC on ABIDE dataset.
§ 01 · Benchmarks
Every benchmark ASD-SWNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | auc | 81.0% | #3 | — | source ↗ |
| 02 | ABIDE I | Medical · Disease Classification | accuracy | 76.5% | #6 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Related models
Other Research models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
research-paper
2
results
0 of 2 rows marked verified.