Foundations of split-sample foldover tests

The split-sample foldover test is an important tool for assessing the accuracy of techniques such as data fusion/integration, ascription and predictive modeling, as it is an empirical procedure that does not depend on unverifiable assumptions. When a split-sample foldover test is conducted, there are many criteria that can be evaluated, some of which are relevant and others not. In this paper, we present a typology of evaluative criteria and we will use a number of applications to illustrate how to choose the relevant criteria.

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