Question

What is specified at any non-leaf node in a decision tree?

Answer 1

Decision tree is the most powerful and popular tool for classification and prediction. A Decision tree is a flowchart like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (terminal node) holds a class label

Answer 2

Answer:

Decision trees, a categorizing model that resembles a flowchart, are commonly used. An attribute test is represented by each internal (non-leaf) node of a decision tree, a test result is represented by each branch, and a class label is represented by each leaf node. A tree's root node is its highest node.

A technique for making decision trees is called tree induction, which is the learning or generation of decision trees using a training dataset with class labels. The classification of a test dataset using a built-in decision tree is known as a deduction.