Which of the following describes the technique of cross$-$validation when evaluating a machine learning model?

A$.$ Cross$-$validation is a resampling method that uses portions of the data to test and train a model on different iterations.

B$.$ Cross$-$validation is the process of choosing a set of optimal hyperparameters for a learning algorithm.

C$.$ Cross$-$validation is a method used to normalize the range of independent variables or features of data.

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