Table — NodePit

There are 2879 nodes that can be used as successor for a node with an output port of type

Applies regression from a regression tree model by using the mean of the individual predictions.

Learns an ensemble of decision trees (such as random forest variants).

Predicts patterns according to a majority vote in a random forest model.

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.

Node Connectivity