Answer Posted / Shaji Najeev Siddiki

Entropy is a measure of the purity (randomness) of data, while Information Gain measures the reduction in entropy when splitting a node. In other words, Information Gain quantifies how much knowledge (or reduction in uncertainty) is gained by splitting a given dataset on a feature.

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