The HPFOREST Procedure

The HPFOREST procedure creates an ensemble of hundreds of decision trees to predict a single target of either interval or nominal measurement level. An input variable can have an interval, ordinal, or nominal measurement level.

The HPFOREST procedure deletes from the training data any observation that has a missing target value or a FREQ variable whose value is less than or equal to 0.

Because the HPFOREST procedure is a high-performance analytical procedure, it also exploits all the available cores and concurrent threads.