which test compares model output with test target? when do cross validation tests take p values when to use a means of p values in cross validation what is the mean of p value during cross validation why do model p values differ during cross validation why is cross validation valid what is the model output when comparing model output vs test output do you take p values what model produces the same output distribution as the training target p value definition cross validation when is it valid to test a model with a training target? why do modelers cross validate how can a model be compared to a test target? when comparing model output with test target why is cross-validation valid when comparing the predicted output of a model to the actual output of a training target? what is a model output and p value why is it valid to take a mean of p values in cross validation? when is it valid to take a mean of p value for testing when is cross validation valid why is it important to measure the model compared to the test