Overview
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**PyRuleAnalyzer** is a Python-based tool designed to support rule extraction, analysis, and simplification from decision tree and random forest models. It provides a comprehensive pipeline to generate interpretable models, remove redundancies, and evaluate model accuracy and interpretability.

Key functionalities include:

* Extracting decision rules from Random Forests and Decision Trees.
* Identifying and removing redundant and duplicate rules.
* Evaluating initial and simplified models through classification accuracy, confusion matrices, and interpretability metrics.
* Computing sparsity and interpretability scores to assess model complexity and understandability.
* Saving, loading, and applying rule-based classifiers on new datasets.

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   Overview <self>
   installation
   tutorials/index
   api/index