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Why do some branches split?

A classification tree grows using a divide-and-conquer process. Each time the tree grows larger, it splits groups of data into smaller subgroups, creating new branches in the tree.

Given a dataset to divide-and-conquer, which groups would the algorithm prioritize to split first?

This exercise is part of the course

Supervised Learning in R: Classification

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