What would be her argument against cross validation

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Reference no: EM133411530

Question: You and your colleague are working on a classification problem. You have have approximately 6000 observations and about 15 highly correlated predictors. You both agree on using a penalized logistic regression method. You also suggest cross validation to determine model's tuning (penalty) parameter, but your colleague does not think that cross validation is a good idea. What would be her argument against cross validation?

Reference no: EM133411530

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