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If we lack relevant problem-specific knowledge, cross-validation methodsmay be used to select a classification method empirically. Weexamine this idea here to show in what senses cross-validation doesand does not solve the selection problem. As illustrated empirically,cross-validation may lead to higher average performance than applicationof any single classification strategy and it also cuts the risk ofpoor performance. On the other hand, cross-validation is no more orless a form of...

Selecting a classification method by cross-validation