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Forest Model Tool

The Forest Model tool creates a model that constructs a set of decision tree models to predict a target variable based on one or more predictor variables. The different models are constructed using random samples of the original data, a procedure known as bootstrapping. In addition, only a limited number of variables is considered at each tree split, with the number determined set either automatically by R or set by the user. See Random Forest.

This tool uses the R programming language. Go to Options > Download Predictive Tools to install R and the packages used by the R Tool.