Rules: A Simple & Effective Machine Learning Approach (Rajiv Shah 11-09-21)
Rajiv shows how to add simple interpretable models to your data science toolbox. The talk starts explaining tradeoffs around complex models and when you may want to consider an interpretable model. The majority of the talk focuses on the tradeoffs for several different types of interpretable models. This includes the rulefit algorithm, the GA2M algorithm, rule list algorithms, and scorecard approaches. Notebooks/code will be shared, so you can start using open-source implementations of these models.
Github:
https://github.com/rajshah4/rulez
First posted for St. Louis Meetup:
• Rules: A Simple & Effective Machine L...
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