Conduct an out-of-sample testing using data labeled as "Used for testing". Use the rule of thumb of 50% purchase probability as a cut-off point to categorize customers into "purchase" and "not purchase". Then, create a cross table to access the number of cases of type I and type II errors of your prediction based on out-of-sample testing.