how does the accuracy of a classification metric differ between models what is the performance of cross validation auc vs bac what is the difference between cross validation of model selection and acceptance? when to use cross validation what's the correct metric for class selection why do i need auc when selecting models which performance metrics should i use when comparing model selection when should i use auc and bac in my model selection? how to calculate acv accuracy why is auc important for classification accuracy what is the difference between auc and bac for classification why is ac in cross validation overly optimistic? how much error can cross validation provide why does auc indicate acceptance in svm what is the error rate of cross validation why a cross validation test is overly optimistic what is the difference between auc and bac when a performance metric is used why is an auc metric used for cross validation