In this chapter, we will discuss (1) various evaluation strategies for
prediction, clustering, classification, regression, and decision trees,
(2) visualization of ROC curves and performance tradeoffs, and (3)
estimation of future performance, internal statistical cross-validation
and bootstrap sampling.