Model card
CheXpert AUC Maximizer.
Stanfordopen-sourceDenseNet-121 Ensemble1 current SOTA
Competition-winning ensemble. 93.0% mean AUC on 5 competition tasks.
§ 01 · Benchmarks
Every benchmark CheXpert AUC Maximizer has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CheXpert | Medical · Disease Classification | auroc | 93.0% | #1 | — | 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.
§ 02 · Strengths by area
Where CheXpert AUC Maximizer actually performs.
§ 04 · Related models
Other Stanford models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
stanford-leaderboard
1
result
0 of 1 rows marked verified.