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.
🚀 Free Course 🚀
Signup here: https://mailchi.mp/40909011987b/signup
XAI course: https://adataodyssey.com/courses/xai-...
SHAP course: https://adataodyssey.com/courses/shap...
🚀 Companion article with link to code (no-paywall link): 🚀
https://medium.com/data-science/analy...
🚀 Useful playlists 🚀
XAI: • Explainable AI (XAI)
SHAP: • SHAP
Algorithm fairness: • Algorithm Fairness
🚀 Get in touch 🚀
Medium: / conorosullyds
Threads: https://www.threads.net/@conorosullyds
Twitter: / conorosullyds
Website: https://adataodyssey.com/
🚀 Chapters 🚀
00:00 Introduction
00:41 Application with artemis
02:54 Overall H-stat
04:02 Pairwise H-stat
05:30 Unnormalized H-stat
Nesta página do site você pode assistir ao vídeo on-line Friedman's H-statistic Python Tutorial | Artemis Package duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário A Data Odyssey 03 Junho 2024, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 1,839 vezes e gostou 47 espectadores. Boa visualização!
