When converting a numerical feature into a categorical feature with 5 categories...
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When converting a numerical feature into a categorical feature with 5 categories for use in a decision tree root node split, the size (in terms of number of instances) of all the child nodes of the root after splitting on the categorical feature, is the same regardless of whether equal width or equal frequency binning is used.
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