There are 4972 nodes that can be used as predessesor for a node with an input port of type Generic Port.
Predicts patterns according to an aggregation of the predictions of the individual trees in a random forest model.
Learns a random forest for regression.
Applies regression from a random forest model by using the mean of the individual predictions.
Learns an ensemble of regression trees.
Applies regression from a tree ensemble model by using the mean of the individual predictions.
Creates a distance measure based on the proximity induced by the given random forest model.
Extracts individual decision trees from a tree ensemble model.
Provides basic statistics on the ensemble and its trees
Extracts individual decision trees from a tree ensemble model.
Classifies a set of test data based on the k Nearest Neighbor algorithm using the training data.
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