Question: what is the difference between running cross validation and testing/training?
Answer: The model is fit on the training set, and the fitted model is used to predict the responses for the observations in the validation set. ... The “training” data set is the general term for the samples used to create the model, while the “test” or “validation” data set is used to qualify performance.