# Longitudinal MoCA score prediction on ADNI (1-year follow-up)

Source: [Longitudinal MoCA score prediction on ADNI (1-year follow-up)](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up>)

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

Data updated: 2026-06-16T08:41:04.559Z

Evaluation of models predicting the 1-year follow-up Montreal Cognitive Assessment (MoCA) score using the ADNI dataset, assessed using regression metrics like R2, RMSE, MAE, and correlation coefficients.

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 | Longitudinal MoCA score prediction |
| Dataset (including any stated split) | ADNI (1-year follow-up) |
| Metric | R2 |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [R2](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up.md?metric=R2>): Higher is better; unit: SCALAR.

- [RMSE](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [MAE](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up.md?metric=MAE>): Lower is better; unit: SCALAR.

- [Pearson Correlation](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up.md?metric=Pearson%20Correlation>): Higher is better; unit: SCALAR.

- [Spearman Correlation](<https://www.sota2.com/research/sota/longitudinal-moca-score-prediction-on-adni-1-year-follow-up.md?metric=Spearman%20Correlation>): Higher is better; unit: SCALAR.

## Recorded results

| Method | R2 | Result date | Report paper |
| --- | --- | --- | --- |
| Surface-based Multimodal Framework (Ours) | 0.5556 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| TabPFN | 0.5216 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| Random Forest | 0.4148 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| XGBoost | 0.3873 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| AutoGluon | 0.2823 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| MuIT | 0.2808 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| LightGBM | 0.2116 | Not recorded | 6a30d8d5d33dfb23e783cf5d |
| TabNet | -14.82 | Not recorded | 6a30d8d5d33dfb23e783cf5d |

### Surface-based Multimodal Framework (Ours)

R2: 0.5556. Result ID: 6a310c0dfbc373592c2d63dd.

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

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

Recorded evaluation configuration: {"Diffusion steps (T)":"300"}. This record does not assert independent reproduction.

### TabPFN

R2: 0.5216. Result ID: 6a310c0dfbc373592c2d63dc.

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

Recorded evaluation configuration: {"Data variation":"Ori. Data"}. This record does not assert independent reproduction.

### Random Forest

R2: 0.4148. Result ID: 6a310c0dfbc373592c2d63d8.

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

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

### XGBoost

R2: 0.3873. Result ID: 6a310c0dfbc373592c2d63d6.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa62821e209131ce9f9b56.md>)

[Implementation](<https://github.com/dmlc/xgboost>)

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

### AutoGluon

R2: 0.2823. Result ID: 6a310c0dfbc373592c2d63da.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa67331e209131cea14b2a.md>)

[Implementation](<https://www.sota2.com/github.com/awslabs/autogluon>)

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

### MuIT

R2: 0.2808. Result ID: 6a310c0dfbc373592c2d63db.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa65d61e209131cea0c91f.md>)

[Implementation](<https://github.com/yaohungt/Multimodal-Transformer>)

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

### LightGBM

R2: 0.2116. Result ID: 6a310c0dfbc373592c2d63d7.

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

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

### TabNet

R2: -14.82. Result ID: 6a310c0dfbc373592c2d63d9.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa68db1e209131cea1eb45.md>)

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

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