Feature Elimination
Description:
Backward Feature Elimination
Contained nodes:
Backward Feature Elimination Start (1:1):Start node for a backward feature elimination loopBackward Feature Elimination Filter:Applies a feature filter model built during backward feature eliminationBackward Feature Elimination End:End node for a backward feature elimination loopPartitioning:Splits table into two partitions.Naive Bayes Learner:
Creates a naive Bayes model from the given classified data.
Naive Bayes Predictor:
Uses the PMML naive Bayes model from the naive Bayes learner to predict
the class membership of each row in the input data.