14.1. Variable importance for the bagging, random forests, and boosting has been computed for both the independent categories and the factor model predictors. The top 16 important predictors for each method and predictor set are presented in Fig. 14.15. (a) Within each modeling technique, which factors are in common between the independent category and factor models? (b) How do these results compare With the most prolic predictors found in the PART model results discussed in Sect. 14.2