Question: in the multi - fold cross - validation approach, the data set is divided into k sunbets. each time, one of the k subbets is

in the multi-fold cross-validation approach, the data set is divided into k sunbets. each time, one of the k subbets is used as the validation set and the other k-1 subnets are put together to form a training set. then the average performance across all k trails is computed. if we increase the number of splits (k), the variance will increase and bias will decrease. true or false

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