Friedman's H-statistic Python Tutorial | Artemis Package
Friedman’s h-statistic, also known as the H-stat or H-index, is a metric used to analyse interactions in a machine learning model. We apply the explainable AI (XAI) method using the artemis Python package. We also explain how to interpret the interaction heatmaps and bar plots. This includes the overall, parwise, normalised and unnormalised h-stat. These can be used to understand the percentage of a feature's effect that comes through interactions with another feature and all other features.
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🚀 Chapters 🚀
00:00 Introduction
00:41 Application with artemis
02:54 Overall H-stat
04:02 Pairwise H-stat
05:30 Unnormalized H-stat
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