Why would we use cross-validation instead of a fixed validation set (select all that apply)? It is computationally less expensive It maximizes the data available for training the model, which is particularly important for smaller datasets It enables us to skip the use of a test set for evaluating model performance It provides a better evaluation of how well the model can generalize to new data because the validation performance is not biased by the choice of datapoints to use in a fixed validation set 1 point