Information gain: Revision history

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18 March 2023

  • curprev 19:0319:03, 18 March 2023‎ Walle talk contribs‎ 3,049 bytes +3,049‎ Created page with "{{see also|Machine learning terms}} ==Information Gain in Machine Learning== Information gain is a crucial concept in the field of machine learning, particularly when dealing with decision trees and feature selection. It is a metric used to measure the decrease in uncertainty or entropy after splitting a dataset based on a particular attribute. The primary goal of information gain is to identify the most informative attribute, which can be used to construct an effect..."
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