4 Model selection (12 points) For the tasks you have to complete below, you have been given a dataset S = {(xx,yi), i = 1, 2, .... n}, where x is a vector of d dimensions. 1. You wish to estimate the generalization error of a classifier that is VERY computationally intensive to train. The number of samples in the dataset, n, is huge, on the order of the number of cat videos on YouTube. You should use A leave one out cross-validation B. 10 fold cross-validation C. 100 bootstrap resamples D. 50%/50% train/test split 4 Model selection (12 points) For the tasks you have to complete below, you have been given a dataset S = {(xx,yi), i = 1, 2, .... n}, where x is a vector of d dimensions. 1. You wish to estimate the generalization error of a classifier that is VERY computationally intensive to train. The number of samples in the dataset, n, is huge, on the order of the number of cat videos on YouTube. You should use A leave one out cross-validation B. 10 fold cross-validation C. 100 bootstrap resamples D. 50%/50% train/test split