Classification & Regression Trees
As one of the most important and popular tools in modern data mining, CART is the ultimate classification tree. CART and its modeling engine have revolutionized the field of advanced analytics and inaugurated the current era of data science.
CART's methodology is based on a landmark mathematical theory introduced in 1984 by four world-renowned statisticians at Stanford University and the University of California at Berkeley. The CART modeling engine, Minitab's implementation of Classification and Regression Trees, is the only decision tree software embodying the original proprietary code.
Patented extensions to the CART modeling engine were specifically designed to enhance results for market research and analytics, support high-speed deployment, and predict and score in real time. Over the years, our engine has become one of the most popular, easy-to-use predictive modeling algorithms available and is fundamental to many modern data mining approaches based on bagging and boosting.
Interested in Deploying or Modeling Data with CART?
Minitab's Tree-Based Methods
Whether you're just getting started or looking to take your predictive analytics capabilities to the next level, Minitab's tree-based modeling engines have the power you need.
The ultimate classification tree algorithm that revolutionized advanced analytics and inaugurated the current era of data science.
The power to leverage multiple alternative analyses, randomization strategies, and ensemble learning in one convenient place.
The most flexible and powerful machine learning tool that is capable of consistently generating extremely accurate models.