Random Forest


Synopsis

Learns a set of random trees, i.e. for each split only a random subset of attributes is available. The resulting model is a voting model of all trees.


Description

This operators learns a random forest. The resulting forest model contains serveral single random tree models.


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Output


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ExampleProcess