Cabela's Moves from CHAID to CART (1,105 words)

CART, which modeled the 100,000-case learning sample in less than five minutes, built tree-structured models that helped Karrick transform the data to fit sensibly into the logistic-regression model. To build accurate customer profiles using CART, Karrick says, "I can just look at the ends of the tree branches and follow the characteristics up to the top. Even with complex tree models, the profiles I build can be easily understood by my non-technical colleagues."