Requirements
A data set containing an outcome variable and predictor variables to use the predictive model.
Method
To run a Random Forest model:
1. Select Create > Classifier > Random Forest.
2. Under Inputs > Random Forest > Outcome select your outcome variable.
3. Under Inputs > Random Forest > Predictor(s) select your predictor variables.
4. Make any other selections as required.
For examples and technical details, see Machine Learning - Random Forest in our Technical Guide.
More information
This blog post explains random forests.
This post describes the data fitting process.
The calculation of variable importance is described here.
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