Walle
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..."
