There are 3986 nodes that can be used as predessesor
for a node with an input port of type Table.
Predicts patterns according to an aggregation of the predictions of the individual trees in a random forest model.
Learns an ensemble of decision trees (such as random forest variants).
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.
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.