Introduction to Random Forest Regression
Random Forest Regression enables you to perform machine learning by creating models from datasets that use binary objectives with input variables.
To create your model, you must first complete the Model Properties tab. The Basic Options
and Advanced Options tabs provide sufficient default settings to complete a job, but you
can change those settings to meet your needs. You then run your job and a limited version
of the resulting model appears on the Model Output tab; the complete output is available in
the Machine Learning Model Management tool.
Note: Click here for additional information regarding Random
Forest Regression and its options.