# 3. Suppose for a binary classification problem that you have a data set of 50 examples,...

###### Question:

3. Suppose for a binary classification problem that you have a data set of 50 examples, evenly split between positive and negative examples. If leave-one-out cross-validation is used, how will a simple majority classifier perform? Such a classifier outputs the class that is in the majority in the training set, regardless of the input. Please explain.

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