LIME is a popular local explainable AI (XAI) method. It can be used to understand the individual predictions made by a black-box model. We will be applying the method using Python. We will see that although LIME is a local method, we can still aggregate lime weights to get global interpretations of a machine learning model. We do this using feature trends, absolute mean weights and a beeswarm plot.


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🚀 Companion article with link to code (no-paywall link): 🚀
medium.com/data-science/squeezing-more-out-of-lime…


🚀 Useful playlists 🚀
XAI:    • Explainable AI (XAI)  
SHAP:    • SHAP  
Algorithm fairness:    • Algorithm Fairness  


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🚀 Chapters 🚀
00:00 Introduction
00:43 Applying LIME with Python
01:57 Local interpretations
04:33 Global inter