# Accuracy Estimation on CIFAR-10 (test)

Source: [Accuracy Estimation on CIFAR-10 (test)](<https://www.sota2.com/research/sota/accuracy-estimation-on-cifar-10-test>)

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

Data updated: 2026-02-26T05:25:36.489Z

Evaluation of model accuracy estimation capabilities on the test split of the CIFAR-10 dataset, measured using metrics such as Estimated Accuracy and AUPR.

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 | Accuracy Estimation |
| Dataset (including any stated split) | CIFAR-10 (test) |
| Metric | AUPR |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [AUPR](<https://www.sota2.com/research/sota/accuracy-estimation-on-cifar-10-test.md?metric=AUPR>): Higher is better; unit: PERCENT.

- [Estimated Acc](<https://www.sota2.com/research/sota/accuracy-estimation-on-cifar-10-test.md?metric=Estimated%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AUPR | Result date | Report paper |
| --- | --- | --- | --- |
| Entropy | 93.52 | Not recorded | 68fa67d21e209131cea18b0c |
| TS | 93.43 | Not recorded | 68fa67d21e209131cea18b0c |
| MP | 93.41 | Not recorded | 68fa67d21e209131cea18b0c |
| Accuracy Monitor | 92.7 | Not recorded | 68fa67d21e209131cea18b0c |

### Entropy

AUPR: 93.52. Result ID: 698d48b08b517eb4332059b2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18b0c.md>)

Recorded evaluation configuration: {"Target DNN":"VGG16","Training dataset":"CIFAR-10"}. This record does not assert independent reproduction.

### TS

AUPR: 93.43. Result ID: 698d48b08b517eb4332059b3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18b0c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa638b1e209131ce9ff6d1.md>)

Recorded evaluation configuration: {"Target DNN":"VGG16","Training dataset":"CIFAR-10"}. This record does not assert independent reproduction.

### MP

AUPR: 93.41. Result ID: 698d48b08b517eb4332059b1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18b0c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64e41e209131cea0731a.md>)

[Implementation](<https://www.sota2.com/github.com/hendrycks/error-detection>)

Recorded evaluation configuration: {"Target DNN":"VGG16","Training dataset":"CIFAR-10"}. This record does not assert independent reproduction.

### Accuracy Monitor

AUPR: 92.7. Result ID: 698d48b08b517eb4332059b0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18b0c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d21e209131cea18b0c.md>)

Recorded evaluation configuration: {"Target DNN":"VGG16","Training dataset":"CIFAR-10","Transfer Learning Data":"1% active learning"}. This record does not assert independent reproduction.

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