This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.
Select whether to validate with a test data set in addition to the out-of-bag validation.
Random Forests® Classification uses bootstrap sampling for every tree. Every record in a bootstrap sample is randomly selected with replacement from the original data set. Out of the total observations of the original data set, some records will be left out from every bootstrap sample. The left-out rows from a bootstrap sample create an out-of-bag data set.
Complete the following steps to specify a fraction of the data to use for training and testing. If you select Validation with a test set in addition to out-of-bag data, by default, Minitab uses 30% of the data for testing.