# Multi-class classification on eBridge (test) Source: [Multi-class classification on eBridge (test)]() Collection index: [llms.txt]() Data updated: 2026-04-13T07:39:38.348Z Evaluation of Multi-class Classification performance on the test split of the eBridge dataset, reporting Accuracy, ROC AUC, and macro-averaged Precision, Recall, and F1. 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 | Multi-class classification | | Dataset (including any stated split) | eBridge (test) | | 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. - [ROC AUC](): Higher is better; unit: PERCENT. - [Precision (macro)](): Higher is better; unit: PERCENT. - [Recall (macro)](): Higher is better; unit: PERCENT. - [F1 (macro)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | ETB | 84 | Not recorded | 69dc78897d0172140ec78aa2 | | XGB | 80 | Not recorded | 69dc78897d0172140ec78aa2 | | LightGBM | 80 | Not recorded | 69dc78897d0172140ec78aa2 | | RF | 79 | Not recorded | 69dc78897d0172140ec78aa2 | | SVM | 76 | Not recorded | 69dc78897d0172140ec78aa2 | | CatBoost | 67 | Not recorded | 69dc78897d0172140ec78aa2 | | DT | 56 | Not recorded | 69dc78897d0172140ec78aa2 | | LR | 42 | Not recorded | 69dc78897d0172140ec78aa2 | ### ETB Accuracy: 84. Result ID: 69dc9d6547f34ce924c34c31. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### XGB Accuracy: 80. Result ID: 69dc9d6547f34ce924c34c2e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### LightGBM Accuracy: 80. Result ID: 69dc9d6547f34ce924c34c2f. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### RF Accuracy: 79. Result ID: 69dc9d6547f34ce924c34c2c. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### SVM Accuracy: 76. Result ID: 69dc9d6547f34ce924c34c2d. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CatBoost Accuracy: 67. Result ID: 69dc9d6547f34ce924c34c30. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DT Accuracy: 56. Result ID: 69dc9d6547f34ce924c34c2b. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### LR Accuracy: 42. Result ID: 69dc9d6547f34ce924c34c2a. [Reporting paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.