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pyRuleAnalyzer
pyRuleAnalyzer is a Python-based tool designed that supports rule extraction, analysis, and simplification from tree-based AI models. It provides a comprehensive pipeline to generate interpretable models, remove redundancies, and evaluate model accuracy and interpretability.
Key functionalities include:
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Extracting decision rules from Random Forests and Decision Trees.
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Identifying and removing redundant and duplicate rules.
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Evaluating initial and simplified models through classification accuracy, confusion matrices, and interpretability metrics.
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Computing sparsity and interpretability scores to assess model complexity and understandability.
For guides on installation and usage refer to the documentation on https://grupocybersegurancavirtus.github.io/pyruleanalyzer/
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