# Within-person depression trajectory classification on CES-D severity crossing label N = 411 (test)

Source: [Within-person depression trajectory classification on CES-D severity crossing label N = 411 (test)](<https://www.sota2.com/research/sota/within-person-depression-trajectory-classification-on-ces-d-severity-crossing-label-n-411-test>)

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

Data updated: 2026-04-28T07:22:19.445Z

Evaluation of models for classifying within-person depression trajectories using the test split of the CES-D severity crossing label N = 411 dataset, reporting metrics like Balanced accuracy 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 | Within-person depression trajectory classification |
| Dataset (including any stated split) | CES-D severity crossing label N = 411 (test) |
| Metric | Balanced Accuracy |
| Unit | PERCENT |
| 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

- [Balanced Accuracy](<https://www.sota2.com/research/sota/within-person-depression-trajectory-classification-on-ces-d-severity-crossing-label-n-411-test.md?metric=Balanced%20Accuracy>): Higher is better; unit: PERCENT.

- [AUC (OvR)](<https://www.sota2.com/research/sota/within-person-depression-trajectory-classification-on-ces-d-severity-crossing-label-n-411-test.md?metric=AUC%20(OvR)>): Higher is better; unit: PERCENT.

- [Sensitivity (worsening)](<https://www.sota2.com/research/sota/within-person-depression-trajectory-classification-on-ces-d-severity-crossing-label-n-411-test.md?metric=Sensitivity%20(worsening)>): Higher is better; unit: PERCENT.

- [PPV (worsening)](<https://www.sota2.com/research/sota/within-person-depression-trajectory-classification-on-ces-d-severity-crossing-label-n-411-test.md?metric=PPV%20(worsening)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Balanced Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| LightGBM | 84.2 | Not recorded | 69f03f1855a3c32af89fa09a |
| XGBoost | 83.4 | Not recorded | 69f03f1855a3c32af89fa09a |
| ElasticNet | 69.9 | Not recorded | 69f03f1855a3c32af89fa09a |
| SVM | 69.6 | Not recorded | 69f03f1855a3c32af89fa09a |
| Regression to person's mean | 67.4 | Not recorded | 69f03f1855a3c32af89fa09a |
| Last value carried forward | 33.6 | Not recorded | 69f03f1855a3c32af89fa09a |
| Predict all stable | 33.3 | Not recorded | 69f03f1855a3c32af89fa09a |
| Person-specific modal class | 32.7 | Not recorded | 69f03f1855a3c32af89fa09a |

### LightGBM

Balanced Accuracy: 84.2. Result ID: 69f0602247f34ce924d5d6e7.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Selection criterion":"Best Accuracy and Sensitivity","Model category":"Machine learning model"}. This record does not assert independent reproduction.

### XGBoost

Balanced Accuracy: 83.4. Result ID: 69f0602247f34ce924d5d6e6.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Selection criterion":"Best AUC","Model category":"Machine learning model"}. This record does not assert independent reproduction.

### ElasticNet

Balanced Accuracy: 69.9. Result ID: 69f0602247f34ce924d5d6e9.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Machine learning model"}. This record does not assert independent reproduction.

### SVM

Balanced Accuracy: 69.6. Result ID: 69f0602247f34ce924d5d6e8.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Machine learning model"}. This record does not assert independent reproduction.

### Regression to person's mean

Balanced Accuracy: 67.4. Result ID: 69f0602247f34ce924d5d6ea.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Rule-based baseline","Note":"Strongest baseline"}. This record does not assert independent reproduction.

### Last value carried forward

Balanced Accuracy: 33.6. Result ID: 69f0602247f34ce924d5d6eb.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Rule-based baseline"}. This record does not assert independent reproduction.

### Predict all stable

Balanced Accuracy: 33.3. Result ID: 69f0602247f34ce924d5d6ed.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Rule-based baseline"}. This record does not assert independent reproduction.

### Person-specific modal class

Balanced Accuracy: 32.7. Result ID: 69f0602247f34ce924d5d6ec.

[Reporting paper](<https://www.sota2.com/research/paper/69f03f1855a3c32af89fa09a.md>)

Recorded evaluation configuration: {"Model category":"Rule-based baseline"}. This record does not assert independent reproduction.

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