Please refer to the following question:

Consider a Boolean classification problem with a yeso class label (and some features). Consider a classifier called VERY_S|MPLE that works as follows. Let C be the class label that occurs more frequently in the training dataset {if both yes and no are equally frequent, let C = "yes\" to break the tie). When given a new datapoint to classify, VERY_S|MPLE will always output C, regardless of the values of the features of the new datapoint. Suppose we have a dataset with exactly one half of the records with class "yes" and exactly one half with class "no". Compute the accuracy of VERY_SIMPLE on this dataset using leave-one-out cross validation