There are 3949 nodes that can be used as predessesor
for a node with an input port of type Table.
Takes a trained LIBSVM to predict the values for new data.
This node uses a SVM model generated by the SVM learner node to predict the output for given parameters.
This node uses a SVM model generated by the SVM learner node to predict the output for given parameters.
Filters out correlated columns.
Filters out numeric columns, which have a low variance.
Start node for a backward feature elimination loop
Start node for a backward feature elimination loop
End node for a backward feature elimination loop
Applies a feature filter model built during backward feature elimination
Start node for a feature selection loop