For a binary classification problem, which splitting criterion does PROC HPFOREST use by default?
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Short Explanation and Infographic
Here's the deal — c is correct because PROC HPFOREST uses Gini impurity as the default splitting criterion for classification. Gini measures the probability of misclassifying a randomly chosen element, and splits maximize Gini impurity reduction.
Full explanation below image
Full Explanation
C is correct because PROC HPFOREST uses Gini impurity as the default splitting criterion for classification. Gini measures the probability of misclassifying a randomly chosen element, and splits maximize Gini impurity reduction. A (entropy/information gain) is used by ID3/C4.5. B (chi-square) is used by CHAID. D (MSE reduction) is for regression trees.