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Jia-Ni Yan

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Preprint Oct 2026

Mastering Model Fit: Applications of the InterModel Vigorish for Interpretable Machine Learning

Accuracy alone gives little information about which features or model components improve probabilistic fit, which outcomes benefit, or how fit changes during training. We introduce the InterModel Vigorish (IMV) into the Machine Intelligence space in order to express differences in fit as an expected betting advantage o...

Jia-Ni Yan, Peng-Yu Wang, Klint Kanopka et al. · 0 citations

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