Table — NodePit

There are 3949 nodes that can be used as predessesor for a node with an input port of type

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.

Extracts individual decision trees from a tree ensemble model.

Provides basic statistics on the ensemble and its trees

Node Connectivity