Decision tree

A decision tree is a way to make predictions by asking a series of questions. It’s like a flowchart that helps you figure out the answer to a problem. Decision trees are used in machine learning to make predictions about different things. They are helpful because they are easy to understand and they can be used to make predictions about many different things.

For example, if you want to predict what kind of animal is in a picture, the decision tree might ask “Does the animal have fur?” If the answer is yes, it might ask “Does the animal have a long tail?” If the answer is no, it might predict that the animal is a cat. If the answer is yes, it might ask “Does the animal have horns?” If the answer is no, it might predict that the animal is a fox. If the answer is yes, it might predict that the animal is a deer.