Classification

classification (tree ensembles and random forest)

This category contains 8 nodes.

Learns a random forest for classification.

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).

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.

Predicts patterns according to an aggregation of the predictions of the individual trees in a random forest model.