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Feature selection and SHAP: knowing which features matter and proving it
A model can achieve excellent predictive accuracy and still be fundamentally wrong about which features are useful.
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Rule learning: RIPPER, decision lists, and models that output human-readable rules
Most classifiers return a label or probability. A rule learner returns logic that a person can inspect and execute:
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Logistic regression as a classifier you can actually explain
Machine learning often feels like a trade-off between accuracy and interpretability. While deep neural networks and gradient-boosted trees dominate many benchmarks, there are plenty of real-world prob