SAS Institute Related Exams
A00-240 Exam
A predictive model uses a data set that has several variables with missing values.
What two problems can arise with this model? (Choose two.)
An analyst knows that the categorical predictor, zip_code, is an important predictor of a binary target. However, zip_code has too many levels to be a feasible predictor in a model. The analyst uses PROC CLUSTER to implement Greenacre's method to reduce the number of categorical levels.
What is the correct application of Greenacre's method in this situation?