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RuleFit is an implementation of a rule-based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF).

skope-rules Skope-rules is a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license.

Both the packages generate rules. Do both the packages rely on The RuleFit algorithm by Friedman and Popescu (2008), and implement the same algorithm?

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In the Skope rules poster: http://2018.ds3-datascience-polytechnique.fr/wp-content/uploads/2018/06/DS3-309.pdf

They made themselves a differentiation

However, our approach mainly differs in the way that decision rules are chosen: semantic deduplication based on variables composing each rule as opposed to L1-based feature selection (RuleFit).

In my personal opinion and after seeing the semantic deduplication package, I will be quite careful as it made some strong modifications of logical rules by default.

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