mlsanityData to 14 Oct 2026

Parametric PDF for Goodness of Fit

arXiv 2210.14005 ↗First posted 25 Oct 2022cs.LG cs.AIcited by 1

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Abstract (arXiv)

The goodness of fit methods for classification problems relies traditionally on confusion matrices. This paper aims to enrich these methods with a risk evaluation and stability analysis tools. For this purpose, we present a parametric PDF framework.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 16 references that are in the map. First posted on arXiv 25 Oct 2022.

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1 of 16 references.

References · 1

  1. 2022Goodness of Fit Metrics for Multi-class Predictorcited by 1

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