Quantile bucketing: Revision history

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21 March 2023

  • curprev 01:1201:12, 21 March 2023‎ Walle talk contribs‎ 3,727 bytes +3,727‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Quantile bucketing, also known as quantile binning or quantile-based discretization, is a technique in machine learning and data preprocessing that aims to transform continuous numeric features into discrete categories by partitioning the data distribution into intervals, with each interval containing an equal proportion of data points. This process improves the efficiency and interpretability of certain algori..."
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