SAS program to accompany the article "Model assessment and selection in machine learning" by Rick Wicklin, published 30JAN2019 on The DO Loop blog: https://blogs.sas.com/content/iml/2019/01/30/model-validation-machine-learning.html
This program shows how to use a validation data set to assess the goodness of fit for a model that was fit to data in a training data set. The idea is adapted from Rogers and Girolami, 2016, A First Course in Machine Learning, Second Edition, p. 31-36 and 86.