Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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Updated
Nov 6, 2024 - Jupyter Notebook
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Learning clinical-decision rules with interpretable models.
Experiments with experimental rule-based models to go along with imodels.
Preprocessed data for various popular tabular datasets to go along with imodels.
Demos for visualizing how rule-based models work.
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