Codesota · Medical · Disease Classification · ABIDE IITasks/Medical/Disease Classification
Disease Classification · benchmark dataset · 2017 · EN

Autism Brain Imaging Data Exchange II.

1,114 datasets from 521 individuals with autism spectrum disorder (ASD) and 593 typically developing controls across 19 sites. Second large-scale release complementing ABIDE I with additional multi-site neuroimaging data.

Paper ↗Download datasetSubmit a result ↵
§ 01 · Leaderboard

Best published scores.

2 results indexed across 2 metrics. Shaded row marks current SOTA; ties broken by submission date.

Primary
accuracy · higher is better
All metrics
accuracy, auc
accuracy· primary
1 row
#ModelOrgSubmittedPaper / codeaccuracy
01MAACNNOSSResearchDec 2025research-paper72.88
auc
1 row
#ModelOrgSubmittedPaper / codeauc
01DeepASDOSSResearchDec 2025research-paper93
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on accuracy. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · accuracy
  1. Dec 18, 2025MAACNNResearch72.88
Fig 3 · SOTA-setting models only. 1 entries span Dec 2025 → Dec 2025.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result ↵Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies