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Implementing a New Feature Selection Algorithm for a Credit Scoring System
For the feature selection, I need to select a set of features that best tune my logistic regression model. But for selection of features, I need at least 1-2 features from each group to exist in my selected features. This type of feature selection is supported in SAS enterprise miner by using PROC LOGISTIC with the “SEQUENTIAL=” and “INCLUDE=” options. The “START=” option also starts the step-wise regression with the first x variables specified as well.
I just need to know how this selection type could be implemented in RapidMiner?