# Causal Graph Discovery on Neuropathic

Source: [Causal Graph Discovery on Neuropathic](<https://www.sota2.com/research/sota/causal-graph-discovery-on-neuropathic>)

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

Data updated: 2026-04-06T07:15:01.611Z

Evaluation of Causal Graph Discovery methods applied to the Neuropathic dataset, measured using accuracy, F Score, NPE, and Ratio metrics.

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 | Causal Graph Discovery |
| Dataset (including any stated split) | Neuropathic |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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/causal-graph-discovery-on-neuropathic.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F Score](<https://www.sota2.com/research/sota/causal-graph-discovery-on-neuropathic.md?metric=F%20Score>): Higher is better; unit: PERCENT.

- [NPE](<https://www.sota2.com/research/sota/causal-graph-discovery-on-neuropathic.md?metric=NPE>): Lower is better; unit: SCALAR.

- [Ratio](<https://www.sota2.com/research/sota/causal-graph-discovery-on-neuropathic.md?metric=Ratio>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BFS with LLMs | 22 | Not recorded | 68fa74351e209131cea60743 |
| PC | 4 | Not recorded | 68fa74351e209131cea60743 |
| DAGMA | 3.3 | Not recorded | 68fa74351e209131cea60743 |
| DAGMA | 3 | Not recorded | 68fa74351e209131cea60743 |
| DAGMA | 3 | Not recorded | 68fa74351e209131cea60743 |
| NOTEARS | 3 | Not recorded | 68fa74351e209131cea60743 |
| NOTEARS | 2.9 | Not recorded | 68fa74351e209131cea60743 |
| PC | 2 | Not recorded | 68fa74351e209131cea60743 |
| NOTEARS | 2 | Not recorded | 68fa74351e209131cea60743 |

### BFS with LLMs

Accuracy: 22. Result ID: 69d35d0d47f34ce924bab675.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

Recorded evaluation configuration: {"# of Samples":"100"}. This record does not assert independent reproduction.

### PC

Accuracy: 4. Result ID: 69d35d0d47f34ce924bab676.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

Recorded evaluation configuration: {"# of Samples":"1000"}. This record does not assert independent reproduction.

### DAGMA

Accuracy: 3.3. Result ID: 69d35d0d47f34ce924bab67a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e5b1e209131cea3f52d.md>)

[Implementation](<https://github.com/kevinsbello/dagma>)

Recorded evaluation configuration: {"# of Samples":"10000"}. This record does not assert independent reproduction.

### DAGMA

Accuracy: 3. Result ID: 69d35d0d47f34ce924bab674.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e5b1e209131cea3f52d.md>)

[Implementation](<https://github.com/kevinsbello/dagma>)

Recorded evaluation configuration: {"# of Samples":"100"}. This record does not assert independent reproduction.

### DAGMA

Accuracy: 3. Result ID: 69d35d0d47f34ce924bab678.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e5b1e209131cea3f52d.md>)

[Implementation](<https://github.com/kevinsbello/dagma>)

Recorded evaluation configuration: {"# of Samples":"1000"}. This record does not assert independent reproduction.

### NOTEARS

Accuracy: 3. Result ID: 69d35d0d47f34ce924bab679.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65041e209131cea07e92.md>)

Recorded evaluation configuration: {"# of Samples":"10000"}. This record does not assert independent reproduction.

### NOTEARS

Accuracy: 2.9. Result ID: 69d35d0d47f34ce924bab673.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65041e209131cea07e92.md>)

Recorded evaluation configuration: {"# of Samples":"100"}. This record does not assert independent reproduction.

### PC

Accuracy: 2. Result ID: 69d35d0d47f34ce924bab672.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

Recorded evaluation configuration: {"# of Samples":"100"}. This record does not assert independent reproduction.

### NOTEARS

Accuracy: 2. Result ID: 69d35d0d47f34ce924bab677.

[Reporting paper](<https://www.sota2.com/research/paper/68fa74351e209131cea60743.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65041e209131cea07e92.md>)

Recorded evaluation configuration: {"# of Samples":"1000"}. This record does not assert independent reproduction.

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