Data science for business

Part I: Multiple Choices Tin 1.1 Atte 2 H I want to rank credit applicants by their estimated likelihood of default. Which technique would be most helpful in assessing the quality of a ranking model mined from data? cross-validation O calculate area under the ROC curve holdout testing O calculate percent correctly classified instances