# Image Classification on DermaMNIST Mild Non-IID alpha=1.0 Source: [Image Classification on DermaMNIST Mild Non-IID alpha=1.0]() Collection index: [llms.txt]() Data updated: 2026-05-26T08:31:04.145Z Evaluation of Image Classification performance on the DermaMNIST dataset under a Mild Non-IID distribution setting with alpha=1.0, reporting Accuracy, Macro-F1, and ECE. 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) | DermaMNIST Mild Non-IID alpha=1.0 | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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](): Higher is better; unit: PERCENT. - [Macro-F1](): Higher is better; unit: PERCENT. - [ECE](): Lower is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Centralized | 74.32 | Not recorded | 6a15292cdbd7150506f7df7f | | ChainLearn | 74.08 | Not recorded | 6a15292cdbd7150506f7df7f | | EqualWt-Ens | 73.78 | Not recorded | 6a15292cdbd7150506f7df7f | | ChainLearn-Dropout | 73.64 | Not recorded | 6a15292cdbd7150506f7df7f | | FedMD | 71.88 | Not recorded | 6a15292cdbd7150506f7df7f | | Local-Best | 70.91 | Not recorded | 6a15292cdbd7150506f7df7f | | FedAvg | 69.95 | Not recorded | 6a15292cdbd7150506f7df7f | | FedProx | 69.31 | Not recorded | 6a15292cdbd7150506f7df7f | ### Centralized Accuracy: 74.32. Result ID: 6a155a41fbc373592c0cbe92. [Reporting paper]() Recorded evaluation configuration: {"Training Mode":"Centralized"}. This record does not assert independent reproduction. ### ChainLearn Accuracy: 74.08. Result ID: 6a155a41fbc373592c0cbe99. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Mode":"Federated Ensemble","Dropout Simulation":"False"}. This record does not assert independent reproduction. ### EqualWt-Ens Accuracy: 73.78. Result ID: 6a155a41fbc373592c0cbe97. [Reporting paper]() Recorded evaluation configuration: {"Training Mode":"Federated Ensemble"}. This record does not assert independent reproduction. ### ChainLearn-Dropout Accuracy: 73.64. Result ID: 6a155a41fbc373592c0cbe98. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Mode":"Federated Ensemble","Dropout Simulation":"True"}. This record does not assert independent reproduction. ### FedMD Accuracy: 71.88. Result ID: 6a155a41fbc373592c0cbe96. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Mode":"Federated"}. This record does not assert independent reproduction. ### Local-Best Accuracy: 70.91. Result ID: 6a155a41fbc373592c0cbe93. [Reporting paper]() Recorded evaluation configuration: {"Training Mode":"Local"}. This record does not assert independent reproduction. ### FedAvg Accuracy: 69.95. Result ID: 6a155a41fbc373592c0cbe94. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Mode":"Federated"}. This record does not assert independent reproduction. ### FedProx Accuracy: 69.31. Result ID: 6a155a41fbc373592c0cbe95. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Mode":"Federated"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.