What changed
Computes a ratio of distances to the predicted and nearest alternative class high-density sets, providing a model-agnostic confidence ranking with conditional density-estimation analysis.
Scientific scope
Computes a ratio of distances to the predicted and nearest alternative class high-density sets, providing a model-agnostic confidence ranking with conditional density-estimation analysis. Bayes-agreement guarantees require compact-support/density-level-set, manifold/noise and class-margin conditions; agreement with the Bayes classifier is not certainty of correctness. Large-scale experiments skip filtering/use PCA, so theory and heuristic differ.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Bayes-agreement guarantees require compact-support/density-level-set, manifold/noise and class-margin conditions; agreement with the Bayes classifier is not certainty of correctness. Large-scale experiments skip filtering/use PCA, so theory and heuristic differ.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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