# Cognitive ability classification on AVI Challenge Track 2 2026 (val)

Source: [Cognitive ability classification on AVI Challenge Track 2 2026 (val)](<https://www.sota2.com/research/sota/cognitive-ability-classification-on-avi-challenge-track-2-2026-val>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-11T10:48:40.444Z

Evaluation of model performance on the validation split of the AVI Challenge Track 2 2026 dataset for Cognitive ability classification, reporting Accuracy, Mac-F1, and Wt-F1.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Cognitive ability classification |
| Dataset (including any stated split) | AVI Challenge Track 2 2026 (val) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/cognitive-ability-classification-on-avi-challenge-track-2-2026-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Mac-F1](<https://www.sota2.com/research/sota/cognitive-ability-classification-on-avi-challenge-track-2-2026-val.md?metric=Mac-F1>): Higher is better; unit: PERCENT.

- [Wt-F1](<https://www.sota2.com/research/sota/cognitive-ability-classification-on-avi-challenge-track-2-2026-val.md?metric=Wt-F1>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Subject-Attr. LogRegCV | 57.81 | Not recorded | 6a2a410ad33dfb23e78392b4 |
| Multimodal ensemble | 53.13 | Not recorded | 6a2a410ad33dfb23e78392b4 |
| Official baseline | 40.62 | Not recorded | 6a2a410ad33dfb23e78392b4 |

### Subject-Attr. LogRegCV

Accuracy: 57.81. Result ID: 6a2a9271fbc373592c289076.

[Reporting paper](<https://www.sota2.com/research/paper/6a2a410ad33dfb23e78392b4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Multimodal ensemble

Accuracy: 53.13. Result ID: 6a2a9271fbc373592c289075.

[Reporting paper](<https://www.sota2.com/research/paper/6a2a410ad33dfb23e78392b4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a2a410ad33dfb23e78392b4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### Official baseline

Accuracy: 40.62. Result ID: 6a2a9271fbc373592c289074.

[Reporting paper](<https://www.sota2.com/research/paper/6a2a410ad33dfb23e78392b4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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