Which of the following statements is false?
A) The k in the k-nearest neighbors algorithm is a xe "machine learning:hyperparameter"hyperparameter of the algorithm.
B) Hyperparameters are set after using the algorithm to train your model.
C) In real-world machine learning studies, you'll want to use xe "hyperparameter:tuning"hyperparameter tuning to choose hyperparameter values that produce the best possible predictions.
D) To determine the best value for k in the kNN algorithm, try different odd values of k then compare the estimator's performance with each.
Correct Answer:
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