Help with Nominal Logistic Fit: Confusion Matrix vs ROC Table Output?
Hi JMP Community, I have been studying the Nominal Logistic Fit to determine the value of a Baseline Biomarker to predict the outcome of a Clinical Treatment. I thought that I understood the concept of the Confusion Matrix: it returns the numbers of True Positive, True Negative, False Positive, and False Negative for a given model for the Training data set and, if defined, the Validation set. Howe...