| CARTis
a robust, easy-to-use decision tree tool that automatically
sifts large, complex databases, searching for and isolating
significant patterns and relationships. This discovered knowledge
is then used to generate reliable, easy-to-grasp predictive
models for applications such as profiling customers, targeting
direct mailings, detecting telecommunications and credit card
fraud, and managing credit risk.
In addition, CART is an excellent pre-processing complement
to other data analysis techniques. For example, CART's outputs
(predicted values) can be used as inputs to improve the
predictive accuracy of neural nets and logistic regression.
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