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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

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