Question: Q 1 [ 6 pt ] . Suppose our dataset consists of 1 0 0 positive examples and 1 0 0 negative examples. Our classifier

Q1[6 pt]. Suppose our dataset consists of 100 positive examples and 100 negative examples. Our classifier constantly outputs the majority class of the training set (breaking tie arbitrarily). Then the leave-one-out cross validation error on the dataset is about 50%.

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