# Classification on health-insurance Source: [Classification on health-insurance]() Collection index: [llms.txt]() Data updated: 2026-05-12T10:41:18.574Z Evaluation of Classification performance on the health-insurance dataset, measured by accuracy. 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 | Classification | | Dataset (including any stated split) | health-insurance | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 2 of 2 | | 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. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | LLM-FE | 75.9 | Not recorded | 68fa78dd1e209131cea7adfb | | XGBoost | 75.6 | Not recorded | 68fa78dd1e209131cea7adfb | ### LLM-FE Accuracy: 75.9. Result ID: 6a0303c147f34ce924e68a12. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"LLM":"GPT-3.5-Turbo","Classifier":"XGBoost"}. This record does not assert independent reproduction. ### XGBoost Accuracy: 75.6. Result ID: 6a0303c147f34ce924e68a11. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Feature Engineering":"None"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.