rafelps/RRULES-rule-based-classifier
RRULES is a rule-based classifier that outperforms RULES, the original algorithm on which it is based, both in performance and efficiency.
This tool helps you automatically discover straightforward "IF-THEN" decision rules from your data, which can be used to classify new examples. You provide a dataset (like a CSV file) with known outcomes, and it generates a set of clear, concise rules. This is ideal for analysts, researchers, or anyone who needs to understand the underlying logic behind their data's classifications.
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Use this if you need to extract human-readable decision rules from your datasets to explain or predict classifications.
Not ideal if your primary goal is maximum predictive accuracy without needing an interpretable model.
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Language
Python
License
MIT
Category
Last pushed
Dec 07, 2023
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