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

Once the model was refined, Karrick explored the full set of variables using bootstrap sampling (aggregation), a technique that chooses random records from the modeling dataset and recasts the learning sample to highlight anomalies. Each of Karrick's bootstraps produced a listing of the variables and the number of times each variable occurred.