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A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
(2009)
In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ...