This node is the start of the feature selection loop. The
feature selection loop allows you to select, from all the features in
the input data set, the subset of features that is best for model
construction. With this node you determine (i) which features/columns
are to be held fixed in the selection process. These constant or
"static" features/columns are included in each loop iteration and are
exempt from elimination; (ii) which selection strategy is to be used
on the other (variable) features/columns and its settings; and (iii)
the specific settings of the selected strategy.
This node has two in and out ports. The respective
port is intended for training data and the second port for test
The same filter is applied to both tables and they will
always contain the same columns.
The following feature selection strategies are available:
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