Information Gain Trend 2026

In machine learning and decision tree algorithms, Information Gain measures how much a feature reduces uncertainty when splitting data. It quantifies the difference in entropy before and after a split, guiding model accuracy. Data scientists and analysts use it for feature selection and building interpretable predictive models, benefiting industries like finance, healthcare, and marketing.