# Image Classification on CIFAR-100 (Pruning Error Analysis) Source: [Image Classification on CIFAR-100 (Pruning Error Analysis)]() Collection index: [llms.txt]() Data updated: 2026-04-02T10:27:42.336Z Evaluation of Image Classification performance on CIFAR-100, specifically measuring the impact of model pruning by reporting baseline error, error after pruning, and the percentage of weights pruned. 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 | Image Classification | | Dataset (including any stated split) | CIFAR-100 | | Metric | Baseline Error | | Unit | PERCENT | | Direction | Lower is better | | Results loaded | 6 of 6 | | 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 - [Baseline Error](): Lower is better; unit: PERCENT. - [Error after Pruning](): Lower is better; unit: PERCENT. - [Error Difference](): Lower is better; unit: PERCENT. - [Pruned Ratio](): Higher is better; unit: PERCENT. ## Recorded results | Method | Baseline Error | Result date | Report paper | | --- | --- | --- | --- | | Two-Phase Pruning | 31.88 | Not recorded | 69cdf8200636e5bf4afccb9d | | Two-Phase Pruning | 36.62 | Not recorded | 69cdf8200636e5bf4afccb9d | | Bi-CNN-Pruning | 41.86 | Not recorded | 69cdf8200636e5bf4afccb9d | | DeepPruningES | 41.94 | Not recorded | 69cdf8200636e5bf4afccb9d | | DeepPruningES | 50.17 | Not recorded | 69cdf8200636e5bf4afccb9d | | Bi-CNN-Pruning | 50.47 | Not recorded | 69cdf8200636e5bf4afccb9d | ### Two-Phase Pruning Baseline Error: 31.88. Result ID: 69ce449047f34ce924b820ce. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet56"}. This record does not assert independent reproduction. ### Two-Phase Pruning Baseline Error: 36.62. Result ID: 69ce449047f34ce924b820cf. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet110"}. This record does not assert independent reproduction. ### Bi-CNN-Pruning Baseline Error: 41.86. Result ID: 69ce449047f34ce924b820cc. [Reporting paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet56"}. This record does not assert independent reproduction. ### DeepPruningES Baseline Error: 41.94. Result ID: 69ce449047f34ce924b820ca. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet56"}. This record does not assert independent reproduction. ### DeepPruningES Baseline Error: 50.17. Result ID: 69ce449047f34ce924b820cb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet110"}. This record does not assert independent reproduction. ### Bi-CNN-Pruning Baseline Error: 50.47. Result ID: 69ce449047f34ce924b820cd. [Reporting paper]() Recorded evaluation configuration: {"CNN architecture":"ResNet110"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.