Choose the validation method to test your model. Usually, with smaller samples, the K-fold cross-validation method is appropriate. With larger samples, you can select a fraction of cases to use for training and testing.
Complete the following steps if you want to use the K-fold cross-validation method to validate the test sample. The K-fold cross-validation method is the default method when the number of rows is ≤ 5000.
Complete the following steps if want to specify a fraction of the data to use for training and for testing. The Test set validation method is the default method when the number of rows is > 5000. In many cases, 70% of the data is used for training, and 30% of the data is used for testing.