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Which of the following is correct use of cross validation? (a) Selecting variables to include in a model (b) Comparing predictors (c) Selecting parameters in prediction function (d) All of the mentioned This question was posed to me in class test. My doubt stems from Cross Validation in chapter Machine Learning of Data Science Select the correct answer from above options Data Science questions and answers, Data Science questions pdf, Data Science question bank, Data Science questions and answers pdf, mcq on Data Science pdf, Data Science questions and solutions, Java mcq Test , Interview Data Science questions, Data Science Questions for Interview, Data Science MCQ (Multiple Choice Questions),Core Data Science Questions, Core Data Science MCQ,core Data Science interview questions for experiencedcore Data Science interview questions for 3 years experience,Data Science programming questions,core Data Science interview questions for freshers,Data Science interview questions and answers for freshers, Data Science programming questions and answers pdf, Data Science interview questions for beginners

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Correct option is (d) All of the mentioned Explanation: Cross-validation is also used to pick type of prediction function to be used.

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