Decision Trees

A Decision Tree is a machine learning technique that helps make decisions or predictions by breaking down a complex problem into smaller, more manageable parts. Decision Trees offer a powerful method for uncovering relationships between variables and making predictions based on those patterns. By repeatedly splitting data into meaningful buckets, Decision Trees create a visual map of how independent variables influence outcomes — whether it’s predicting sales or approving loans. 

This white paper explores the strengths of Decision Trees, showing how they reveal insights in fields like data mining, medicine, and finance. Decision Trees excel in both analyzing complex relationships and making predictions, offering a versatile tool for decision-making in today’s data-driven world.