Meaning of Decision Tree Machine Learning

Simple definition

A decision tree is a visual model in machine learning that splits data into branches based on conditions, helping to classify data or make predictions.

How to use Decision Tree Machine Learning in a professional context

Decision trees are widely used in industries like finance, healthcare, and marketing for tasks such as fraud detection, disease diagnosis, and customer segmentation.

Concrete example of Decision Tree Machine Learning

An online retailer uses a decision tree to predict whether a customer will buy a product based on variables like age, browsing history, and cart additions.