# Classification on Liver Cancer Type

Source: [Classification on Liver Cancer Type](<https://www.sota2.com/research/sota/classification-on-liver-cancer-type>)

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

Data updated: 2026-02-26T05:29:01.467Z

Evaluation of classification performance on the Liver Cancer Type dataset, reporting standard classification metrics including Accuracy, Precision, Recall, and F1 Score.

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 | Classification |
| Dataset (including any stated split) | Liver Cancer Type |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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/classification-on-liver-cancer-type.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/classification-on-liver-cancer-type.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/classification-on-liver-cancer-type.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/classification-on-liver-cancer-type.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Deep Manifold Contrastive Learning | 82.39 | Not recorded | 68fa6fdc1e209131cea47b6d |
| PCL | 81.46 | Not recorded | 68fa6fdc1e209131cea47b6d |
| HCSC | 79.95 | Not recorded | 68fa6fdc1e209131cea47b6d |
| CNN | 77.1 | Not recorded | 68fa6fdc1e209131cea47b6d |

### Deep Manifold Contrastive Learning

Accuracy: 82.39. Result ID: 699100693a6c31484904ef4a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b6d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b6d.md>)

Recorded evaluation configuration: {"Prototype Number":"20"}. This record does not assert independent reproduction.

### PCL

Accuracy: 81.46. Result ID: 699100693a6c31484904ef48.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b6d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69981e209131cea22eea.md>)

[Implementation](<https://github.com/salesforce/PCL>)

Recorded evaluation configuration: {"Prototype Number":"500-800-1000"}. This record does not assert independent reproduction.

### HCSC

Accuracy: 79.95. Result ID: 699100693a6c31484904ef49.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b6d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c971e209131cea34af2.md>)

Recorded evaluation configuration: {"Prototype Number":"2-10-100"}. This record does not assert independent reproduction.

### CNN

Accuracy: 77.1. Result ID: 699100693a6c31484904ef47.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6fdc1e209131cea47b6d.md>)

Recorded evaluation configuration: {"Prototype Number":"NA"}. This record does not assert independent reproduction.

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