There are 5561 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
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 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.
Creates a distance measure based on the proximity induced by the given random forest model.
Extracts individual decision trees from a tree ensemble model.