# Dependence Testing on Variance A Source: [Dependence Testing on Variance A]() Collection index: [llms.txt]() Data updated: 2026-04-30T07:43:39.513Z Evaluation of models performing dependence testing on the Variance A dataset, measured using the Power metric. 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 | Dependence Testing | | Dataset (including any stated split) | Variance A | | Metric | Power | | 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 - [Power](): Higher is better; unit: PERCENT. ## Recorded results | Method | Power | Result date | Report paper | | --- | --- | --- | --- | | ddrV | 99.7 | Not recorded | 69f2e23655a3c32af89fc816 | | All-CNN-MLP | 99.1 | Not recorded | 69f2e23655a3c32af89fc816 | ### ddrV Power: 99.7. Result ID: 69f3082147f34ce924d92f74. [Reporting paper]() Recorded evaluation configuration: {"n":"200"}. This record does not assert independent reproduction. ### All-CNN-MLP Power: 99.1. Result ID: 69f3082147f34ce924d92f73. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"n":"200"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.