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arXiv · 2401.13843

Enumerating the k-fold configurations in multi-class classification problems

Attila Fazekas·Gyorgy Kovacs
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Abstract

K-fold cross-validation is a widely used tool for assessing classifier performance. The reproducibility crisis faced by artificial intelligence partly results from the irreproducibility of reported k-fold cross-validation-based performance scores. Recently, we introduced numerical techniques to test the consistency of claimed performance scores and experimental setups. In a crucial use case, the method relies on the combinatorial enumeration of all k-fold configurations, for which we proposed an algorithm in the binary classification case.

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Attila Fazekas, Gyorgy Kovacs. 2024-01-24. Enumerating the k-fold configurations in multi-class classification problems. https://arxiv.org/abs/2401.13843

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