# Cancer Subtype Classification on BRCA (5-fold cross-validation) Source: [Cancer Subtype Classification on BRCA (5-fold cross-validation)]() Collection index: [llms.txt]() Data updated: 2026-04-28T10:08:11.164Z Evaluation of cancer subtype classification models on the BRCA dataset using a 5-fold cross-validation setup, reporting Accuracy, Macro F1, Weighted F1, Macro Recall, Macro AUC, and Macro AUPRC. 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 | Cancer subtype classification | | Dataset (including any stated split) | BRCA (5-fold cross-validation) | | Metric | Accuracy | | 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 - [Accuracy](): Higher is better; unit: PERCENT. - [Macro F1 Score](): Higher is better; unit: PERCENT. - [Weighted F1 Score](): Higher is better; unit: PERCENT. - [Macro Recall](): Higher is better; unit: PERCENT. - [Macro AUC](): Higher is better; unit: PERCENT. - [Macro AUPRC](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | CMGL | 85.69 | Not recorded | 69f03f7055a3c32af89fa47a | | HTML | 83.6 | Not recorded | 69f03f7055a3c32af89fa47a | | MOCapsNet | 82.12 | Not recorded | 69f03f7055a3c32af89fa47a | | MOGONET | 75.56 | Not recorded | 69f03f7055a3c32af89fa47a | | MOSGAT | 74.37 | Not recorded | 69f03f7055a3c32af89fa47a | ### CMGL Accuracy: 85.69. Result ID: 69f086f847f34ce924d7099c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### HTML Accuracy: 83.6. Result ID: 69f086f847f34ce924d7099d. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOCapsNet Accuracy: 82.12. Result ID: 69f086f847f34ce924d7099e. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOGONET Accuracy: 75.56. Result ID: 69f086f847f34ce924d7099f. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOSGAT Accuracy: 74.37. Result ID: 69f086f847f34ce924d709a0. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.