Shypd.aiThe largest open index of AI toolsSkope-rules is an open-source machine learning tool that generates logical, interpretable rules from models in Python. It helps detect instances of a target class with high precision, offering a trade-off between Decision Trees and Random Forests.
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Skope-rules is a Python machine learning module built on top of scikit-learn, designed for learning logical and interpretable rules. Its primary goal is to "scope" a target class by detecting instances with high precision. This tool offers a balance between the interpretability of a Decision Tree and the predictive power of a Random Forest. It extracts rules from tree ensembles, leveraging fast algorithms like bagged decision trees or gradient boosting. The package provides methods to compute predictions using the most precise rules and is particularly useful for understanding and explaining complex model decisions in explainable AI applications. It requires Python (>= 2.7 or >= 3.3), NumPy, SciPy, Pandas, and Scikit-Learn.
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