information gain
Information gain is a measure used to quantify the increase in knowledge or reduction in uncertainty that results from acquiring new information, particularly in the context of data analysis and machine learning. It is often calculated by comparing the entropy (randomness or disorder) of a dataset before and after a particular attribute or feature is considered, with higher information gain indicating a greater ability to predict outcomes.
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