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Predictive Analytics

CLASSIFICATION & REGRESSION TREES

CART®

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.

For those new to CART®, it is a tree-based algorithm that works by looking at many various ways to locally partition or split data into smaller segments based on differing values and combinations of predictors. CART® selects the best performing splits, then repeats this process recursively until the optimal collection is found. The result is a decision tree represented by a series of binary splits leading to terminal nodes that can be described by a set of specific rules. The tree and its layout is visually stimulating and intuitive to interpret so you don’t have to be a data scientist to understand and gain useful insights from it.

Designed for users of all levels, CART® model can quickly reveal important relationships that could remain hidden when using other analytical tools. CART® stands out in the predictive analytics field thanks to its original, highly desirable methodology that includes built-in automation, ease-of-use, performance, and accuracy.

Classification and Regression Trees (CART)

Proprietary

CART® 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.

Fast & Versatile

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.

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Minitab's Tree-Based Predictive Models

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.

Learn more about all of Minitab’s Predictive Analytics Solutions

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CART® (Classification & Regression Trees)

The ultimate classification tree algorithm that revolutionized advanced analytics and inaugurated the current era of data science.

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Random Forests®

The power to leverage multiple alternative analyses, randomization strategies, and ensemble learning in one convenient place.

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TreeNet® (Gradient Boosting)

The most flexible and powerful machine learning tool that is capable of consistently generating extremely accurate models.

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