# Progression Detection (ΔMoCA \< 0) on MCI and AD subjects 2-year cohort (test)

Source: [Progression Detection (ΔMoCA \< 0) on MCI and AD subjects 2-year cohort (test)](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test>)

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

Data updated: 2026-06-16T08:41:04.669Z

Evaluation of binary classification performance for detecting cognitive decline progression (defined by ΔMoCA \< 0) using longitudinal data from MCI and Alzheimer's Disease subjects over a 2-year period, assessed using standard classification metrics like Accuracy, F1, and AUC.

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 | Progressing data detection (ΔMoCA \< 0) |
| Dataset (including any stated split) | MCI and AD subjects 2-year cohort (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [AUC](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=AUC>): Higher is better; unit: PERCENT.

- [MCC](<https://www.sota2.com/research/sota/progression-detection-moca-0-on-mci-and-ad-subjects-2-year-cohort-test.md?metric=MCC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Surface-based Multimodal Framework (T = 300) | 71.43 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| TabPFN (Ori. Data) | 64.29 | Not recorded | 6a30d8d5d33dfb23e783cf5d |

### Surface-based Multimodal Framework (T = 300)

Accuracy: 71.43. Result ID: 6a310c0dfbc373592c2d63ee.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

Recorded evaluation configuration: {"Surf.":"true","Tab.":"true"}. This record does not assert independent reproduction.

### TabPFN (Ori. Data)

Accuracy: 64.29. Result ID: 6a310c0dfbc373592c2d63ed.

[Reporting paper](<https://www.sota2.com/research/paper/6a30d8d5d33dfb23e783cf5d.md>)

Recorded evaluation configuration: {"Surf.":"true","Tab.":"true"}. This record does not assert independent reproduction.

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