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Try our Classification and Regression Trees (CART®) software free and see why 90% of the top Fortune 100 companies choose Minitab to solve their process, operational, and business challenges.
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Powerful Features Make Decision-Making Easier
Minitab® Statistical Software offers a comprehensive set of statistical methods and data visualization options that empower you to make informed decisions that lead to better business outcomes.
Better
Proactively make better decisions everywhere with unparalleled statistical insights and robust predictive analytics which includes CART®. One of the most popular and useful prediction tools, CART is in a fast, easy-to-use format so you don't need to be a data scientist to use it.
Faster
Discover valuable insights with our fast performance, then securely share analyses with lightning speed.
Easier
The intuitive interface uses clicks , not codes, to easily complete your analysis and create vital visualizations.
Boosted
Solve more challenging problems, tap into deeper insights with our proprietary, best-in-class, machine learning algorithms, TreeNet® and Random Forests®, found in Minitab's Predictive Analytics Module.
90% of the top Fortune 100 Companies are Minitab Customers
Machine Learning Made Easy with Minitab Statistical Software
As one of the most important and popular tools in modern data mining, CART® (Classification and Regression Trees) 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. Also gain access to our proprietary tree-based machine learning algorithms, TreeNet® and Random Forests®, for the advanced predictive analytics power boost that you need.
What are tree-based methods?
Tree-based algorithms utilize a series of if-then rules to create predictions from one or more decision trees. Compared to linear models like regression, tree-based methods map non-linear relationships quite well and can overcome the messiness in data that other methods simply cannot while also providing not only speed to answer, which can help you save time, but remarkable accuracy and ease of interpretation.
TreeNet® (Gradient Boosting)
Our most flexible, award-winning and powerful machine learning tool, TreeNet Gradient Boosting, is known for its superb and consistent predictive accuracy due to its iterative structure that corrects combined errors of the ensemble as it builds.
CART®
CART works by looking at many various ways to locally partition or split data into smaller segments based on differing values and combinations of predictors. 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.
Random Forests®
Based on a collection of CART Trees, Random Forests leverages repetition, randomization, sampling, and ensemble learning in one convenient place that brings together independent trees and determines the overall prediction of the forest.
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What Users Are Saying
Process Engineer
Consumer Packaged Goods
“I usually stick to the methods that have always worked for me—regression helps identify the x’s that drive the y’s. But the TreeNet partial dependency plots have given me deeper insight and have helped me solve some of my company’s most vexing problems. ”
Data Science Leader
Food Manufacturer
“Our Continuous Improvement teams are making great progress with Minitab’s Predictive Analytics. The integration of data science and continuous improvement has resulted in more predictable KPI’s. With the increased focus on data, analytics, and business performance management - Minitab Solutions help us put that all together! ”
“ Engineers and analysts can spend 80% of their time trying to identify the important drivers of process issues when performing a root cause analysis.”
