Feature Engineering within the Cross Validation

@c3josh wrote:

If we are doing feature engineering using for example, category means, should we be doing this inside or outside the cross validation loops?

e.g. for 5 fold cross validation should we be using mean("whole_data_set") for both training and holdout or should we be using training mean("4_training_sets") and mean("holdout_set").

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