Table — NodePit

There are 3773 nodes that can be used as predessesor for a node with an input port of type

Learns a random forest for classification.

Predicts patterns by aggregating the predictions of the individual trees in a random forest model.

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 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.

Node Connectivity