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Which of the following describes the k-fold cross-validation method?Multiple select question.The choice of the model will be sensitive to how the data are partitioned.The k-fold method is less sensitive to data partitioning than the holdout methodThe sample data set is partitioned into two independent and mutually exclusive data sets—the training set and the validation set.The sample data are partitioned into k subsets, where one of the k subsets is used as the validation set
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