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Frequently-Asked Questions

While the developers have attempted to make CART easy to use and have built in a large number of convenience features, as with any statistical method, problems can arise. Help is available for some of the major problems that users may encounter in CART analyses:

• No Tree Built
• Insufficient Memory
• High Costs, or All Relative Costs Exceed One
• Cross-Validation Breakdown
• Cannot Apply Tree to New Data
• Too Many Levels in a Categorical Predictor
• The Tree is Too Large or Complex
• Limitations on the Learn Sample Size When Using Cross Validation
• Interactive Splitting
• Internal Error Messages
• CART and Large Datasets
• Why does the tree change when non-splitting variables are dropped?