問題文
A team wants to search several settings of a classifier and pick the best one on held out data. Which option correctly identifies the three inputs that the cross validation helper requires?
選択肢
- A fitted model to score and a set of parameter maps and an evaluator that ranks the folds of the input data.
- A fitted model to score and a count of folds and an evaluator that picks the columns of the frame.
- An estimator to tune and a set of parameter maps and a separate frame of labels that the helper holds back on its own.
- An estimator to tune and a set of parameter maps and an evaluator that scores each of the fitted models.