Model card
SVM with Connectivity Features.
Researchopen-sourceSupport Vector Machine
70.1% accuracy on ABIDE with functional connectivity features. Classic baseline for brain classification.
§ 01 · Benchmarks
Every benchmark SVM with Connectivity Features has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ABIDE I | Medical · Disease Classification | auc | 77.0% | #6 | — | source ↗ |
| 02 | ABIDE I | Medical · Disease Classification | accuracy | 70.1% | #19 | — | 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 SVM with Connectivity Features actually performs.
§ 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.