The sheer number of model evaluation techniques available to asses how good your model is can be completely overwhelming. As well as the oft-used confidence intervals, confusion matrix and cross validation, there are dozens more that you could use for specific situations, including McNemar's test, Cochran's Q, Multiple Hypothesis testing and many more. This one picture whittles down that list to a dozen or so of the most popular. You'll find links to articles explaining the specific tests and procedures below the image.
Classification Statistics and Tools:
Gain and Lift Image: Understanding And Interpreting Gain And Lift Charts