This call uses default values for the MaxDepth, MinNodeSize, and Variance arguments, and builds 50 trees on two worker nodes. It sets both seed values to 100 for repeatability. Because TreeType is 'classification' and there are 12 prediction variables, Mtry is 3 (round(sqrt(12)).
SELECT * FROM Forest_Drive (
ON (SELECT 1)
PARTITION BY 1
InputTable ('housing_train')
OutputTable ('rft_model')
TreeType ('classification')
ResponseColumn ('homestyle')
NumericInputs ('price','lotsize','bedrooms','bathrms','stories','garagepl')
CategoricalInputs
('driveway','recroom','fullbase','gashw','airco','prefarea')
MaxDepth (12)
MinNodeSize (1)
NumTrees (50)
Variance (0.0)
Mtry ('3')
MtrySeed ('100')
Seed ('100')
);