# Word Generation on Cognitive dataset (cross-subject 10-fold cross-validation)

Source: [Word Generation on Cognitive dataset (cross-subject 10-fold cross-validation)](<https://www.sota2.com/research/sota/word-generation-on-cognitive-dataset-cross-subject-10-fold-cross-validation>)

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

Data updated: 2026-04-15T09:22:41.575Z

Evaluation of Word Generation performance on the Cognitive dataset utilizing cross-subject 10-fold cross-validation, assessed using Accuracy and F1 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 | Word Generation |
| Dataset (including any stated split) | Cognitive dataset (cross-subject 10-fold cross-validation) |
| 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/word-generation-on-cognitive-dataset-cross-subject-10-fold-cross-validation.md?metric=Accuracy%20(%25)>): Higher is better; unit: PERCENT.

- [F1 Score (%)](<https://www.sota2.com/research/sota/word-generation-on-cognitive-dataset-cross-subject-10-fold-cross-validation.md?metric=F1%20Score%20(%25)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (%) | Result date | Report paper |
| --- | --- | --- | --- |
| EEG-MoCE | 73.65 | Not recorded | 69df1bb57d0172140ec7ba64 |
| ST2A | 67.27 | Not recorded | 69df1bb57d0172140ec7ba64 |
| EF-Net | 64.53 | Not recorded | 69df1bb57d0172140ec7ba64 |
| TSMMF | 63.82 | Not recorded | 69df1bb57d0172140ec7ba64 |
| STA-Net | 62.5 | Not recorded | 69df1bb57d0172140ec7ba64 |
| CTMWA | 59.87 | Not recorded | 69df1bb57d0172140ec7ba64 |
| LMF | 59.74 | Not recorded | 69df1bb57d0172140ec7ba64 |
| EFDFNet | 58.85 | Not recorded | 69df1bb57d0172140ec7ba64 |
| MMML | 56.35 | Not recorded | 69df1bb57d0172140ec7ba64 |

### EEG-MoCE

Accuracy (%): 73.65. Result ID: 69df584647f34ce924c85d41.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### ST2A

Accuracy (%): 67.27. Result ID: 69df584647f34ce924c85d40.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### EF-Net

Accuracy (%): 64.53. Result ID: 69df584647f34ce924c85d3f.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### TSMMF

Accuracy (%): 63.82. Result ID: 69df584647f34ce924c85d3e.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### STA-Net

Accuracy (%): 62.5. Result ID: 69df584647f34ce924c85d3d.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### CTMWA

Accuracy (%): 59.87. Result ID: 69df584647f34ce924c85d3c.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### LMF

Accuracy (%): 59.74. Result ID: 69df584647f34ce924c85d3b.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa646c1e209131cea049e6.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### EFDFNet

Accuracy (%): 58.85. Result ID: 69df584647f34ce924c85d3a.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

### MMML

Accuracy (%): 56.35. Result ID: 69df584647f34ce924c85d39.

[Reporting paper](<https://www.sota2.com/research/paper/69df1bb57d0172140ec7ba64.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73651e209131cea5c2ac.md>)

[Implementation](<https://github.com/zehuiwu/MMML>)

Recorded evaluation configuration: {"evaluation\_protocol":"cross-subject 10-fold cross-validation","participants":"n = 26"}. This record does not assert independent reproduction.

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