Should you discretize continuous features for Machine Learning? 🤖
Read OriginalThis technical article examines whether to discretize (bin) continuous numeric features into categorical ones for machine learning models. It demonstrates how to use scikit-learn's KBinsDiscretizer and argues against the practice, citing loss of data nuance, reduced variation, and parameter tuning complexity, unless a proper evaluation shows a clear benefit.
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