# Cancer subtype classification on OV (5-fold val) Source: [Cancer subtype classification on OV (5-fold val)]() Collection index: [llms.txt]() Data updated: 2026-04-28T10:08:11.246Z Evaluation of cancer subtype classification performance on the OV dataset using a 5-fold validation split, reporting metrics including Accuracy, Macro/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) | OV 5-fold (val) | | 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](): Higher is better; unit: PERCENT. - [Weighted F1](): 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 | 79.91 | Not recorded | 69f03f7055a3c32af89fa47a | | MOCapsNet | 75.68 | Not recorded | 69f03f7055a3c32af89fa47a | | HTML | 70.76 | Not recorded | 69f03f7055a3c32af89fa47a | | MOGONET | 68.27 | Not recorded | 69f03f7055a3c32af89fa47a | | MOSGAT | 60.19 | Not recorded | 69f03f7055a3c32af89fa47a | ### CMGL Accuracy: 79.91. Result ID: 69f086f847f34ce924d709ab. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOCapsNet Accuracy: 75.68. Result ID: 69f086f847f34ce924d709ad. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### HTML Accuracy: 70.76. Result ID: 69f086f847f34ce924d709ac. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOGONET Accuracy: 68.27. Result ID: 69f086f847f34ce924d709ae. [Reporting paper]() Recorded evaluation configuration: {"Evaluation Protocol":"5-fold cross-validation"}. This record does not assert independent reproduction. ### MOSGAT Accuracy: 60.19. Result ID: 69f086f847f34ce924d709af. [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.