Short questions. Please choose the right choices for each question. There may be more than one correct choice. 1. A machine learning model usually has a few hyper-parameters to tune. Which of the two following settings are good for choosing hyper-parameters that can generalize well to new data: (a) Choose hyperparameters that work best on the all data (b) Choose hyperparameters that work best on the training set (c) Choose hyperparameters that work best on the validation set (d) Choose hyperparameters by performing k-fold cross-validation.

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