Question: During validation and testing, what aspect of the dataset do we _ hold back _ from the model while we generate predictions from it ?

During validation and testing, what aspect of the dataset do we_hold back_from the model while we generate predictions from it?
The dimensions of the dataset
The sum of each column
The labels/annotations
The names of the predictor variables
During validation and testing, what aspect of the dataset do we_hold

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