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For an overfit data set the cross validation error will be much bigger than the training error.

a) True
b) False

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Yes the Answer is a) True

For an over fit data set the cross validation error will be much bigger than the training error because  than the validation error in the system the training error is much lower as the because our model is to get over fit.But if the dropout regularization  layer is being used in the network then the validation layer becomes smaller than the training error.

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