0.632 bootstrapping, a method to divide test and training sets for error estimation of machine learners (see Frank and Witten, "Data Mining: Practical Machine Learning Tools and Techniques". Morgan Kaufmann 2005).
@author Steffen Torbahn
@author Roland Ewald
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