Successful implementation of a regression tree requires rules for deciding when a branch of the tree cannot be split any more.

Question

Quizplus · Accepted Answer

This is true. The rules for deciding when to stop splitting a branch depend on the chosen splitting criterion and the desired complexity of the final tree. Common stopping rules include minimum sample size per leaf node, minimum decrease in impurity, or maximum depth of the tree.

Successful Implementation of a Regression Tree Requires Rules for Deciding