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# gain in purity

In decision trees, the gain in purity is calculated by taking the impurity of the parent node and subtracting the impurity of the child nodes. The impurity of the child nodes is the weighted average of the measure of Gini impurity across all the child nodes. This means the gain in purity measures the improvement obtained by splitting on the predictor.
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