After the logistic model is built, variables are tested for importance. Selecting this option will remove unimportant variables and repeat the model building process. This option is recommended as it leads to more robust models.
A random percentage of the data can be withheld from the training phase and used as an independent validation set to determine if the final model has good generalisation properties.
