Decision Tree Basics

A decision tree is a graphical approach of presenting a payoff of table or ______ table.

The ______ point is represented by a rectangle in a decision tree.

Decision trees have a wide range of applications across various ______, including machine learning and finance.

In computing the EMV of an alternative or event, the procedure is to work ______, that is from right to left of the tree.

Decision trees can be used for ______ risk assessment in the finance domain.

Decision trees are valuable for ______ control in manufacturing processes.

Decision trees aid in ______ diagnosis and troubleshooting in complex systems.

Decision trees can optimize manufacturing processes by suggesting the most effective choices at critical ______ points.

Decision trees help predict when equipment or machinery might ______.

Decision trees can be computationally efficient for ______ data points.