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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.

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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

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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.

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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.

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TreeNet®

TreeNet® Gradient Boosting is SPM’s most flexible and powerful data mining tool, capable of consistently generating extremely accurate models.

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Random Forests®

Random Forests® is a modeling engine that leverages the power of multiple alternative analyses, randomization strategies, and ensemble learning.