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Consider the model selection procedure where we choose the degree of polynomial, d, using a cross validation set. For the final model (with parameters 0), we might generally expect Jcv(0) to be lower than Jtest (0) because: O a. O b. O c O d. The cross validation set is usually larger than the test set. The cross validation set is usually smaller than the test set. An extra parameter, d, has been fit to the test set. An extra parameter, d, has been fit to the cross validation set.

Consider the model selection procedure where we choose the degree of polynomial, d, using a cross validation set. For the final model (with parameters 0), we might generally expect Jcv(0) to be lower than Jtest (0) because: O a. O b. O c O d. The cross validation set is usually larger than the test set. The cross validation set is usually smaller than the test set. An extra parameter, d, has been fit to the test set. An extra parameter, d, has been fit to the cross validation set.

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Transcribed Image Text:Consider the model selection procedure where we choose the degree of polynomial, d, using a cross validation set. For the final model (with parameters 0), we might generally expect Jcv (0) to be lower than Jtest (0) because: O a. O b. O C. O d. The cross validation set is usually larger than the test set. The cross validation set is usually smaller than the test set. An extra parameter, d, has been fit to the test set. An extra parameter, d, has been fit to the cross validation set.

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