Feature Elimination

Description:

Backward Feature Elimination

Contained nodes:

Backward Feature Elimination Start (1:1):
Start node for a backward feature elimination loop
Backward Feature Elimination Filter:
Applies a feature filter model built during backward feature elimination
Backward Feature Elimination End:
End node for a backward feature elimination loop
Partitioning:
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.