# Cell-level outlier detection on vehicle\_sensIT Source: [Cell-level outlier detection on vehicle\_sensIT]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:24:44.496Z Evaluation of cell-level outlier detection performance on the vehicle\_sensIT dataset, reporting AUC and Run-time metrics. 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 | Cell-level outlier detection | | Dataset (including any stated split) | vehicle\_sensIT | | Metric | AUC | | 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 - [AUC](): Higher is better; unit: PERCENT. - [Run-time (s)](): Lower is better; unit: TIME. ## Recorded results | Method | AUC | Result date | Report paper | | --- | --- | --- | --- | | 2D-OOB | 81 | Not recorded | 68fa75771e209131cea68204 | | 2D-KNN | 61 | Not recorded | 68fa75771e209131cea68204 | ### 2D-OOB AUC: 81. Result ID: 6993c79b3a6c31484918788b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### 2D-KNN AUC: 61. Result ID: 6993c79b3a6c31484918788c. [Reporting paper]() [Method origin 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.