Classification and Regression Trees
Salford Predictive Modeler’s CART® modeling engine is the ultimate classification tree that has revolutionized the field of advanced analytics, and inaugurated the current era of data science. CART® is one of the most important tools in modern data mining.
Others have tried to copy the CART® methodology, but no one has succeeded, as evidenced by accuracy, performance, feature set, built-in automation and ease of use. Designed for both non-technical and technical users, the CART ® model can quickly reveal important data relationships that could remain hidden using other analytical tools.
Proprietary Code
Technically, the CART® methodology is based on 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, SPM’s implementation of Classification and Regression Trees, is the only decision tree software embodying the original proprietary code.
Fast and Versatile
Patented extensions to the CART® modeling engine are specifically designed to enhance results for market research and web analytics. The CART® modeling engine supports high-speed deployment, allowing Salford Predictive Modeler’s models to predict and score in real time on a massive scale. Over the years the CART® modeling engine has become known as one of the most popular and easy-to-use predictive modeling algorithms available to the analyst, it is also used as a foundation to many modern data mining approaches based on bagging and boosting.
Introducing Salford Predictive Modeler® 8
Minitab's Integrated Suite of Machine Learning Software
CART®
SPM’s CART® modeling engine is the ultimate classification tree that has revolutionized the field of advanced analytics, and inaugurated the current era of data science.
MARS®
The MARS® modeling engine is ideal for users who prefer results in a form similar to traditional regression while capturing essential nonlinearities and interactions.
TreeNet®
TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.
Random Forests®
Random Forests® is a modeling engine that leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.