There are 2697 nodes that can be used as successor
for a node with an output port of type Table.
Learns an ensemble of decision trees (such as random forest variants).
Predicts patterns according to a majority vote in a tree ensemble model.
Learns an ensemble of regression trees.
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.
Learns a Gradient Boosted Trees model.
Classifies data using a Gradient Boosted Trees model.
Applies classification from a Gradient Boosted Trees model that is provided in PMML format.
Learns a Gradient Boosted Trees model.