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Go Classes | DA Course | Machine Learning

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Suppose you are using a Majority Classifier on the following training set containing 10 examples where each example has one real-valued feature, $x$, and a binary class label, $y$, with value 0 or 1 . Define this Majority Classifier to predict the class label that is in the majority in the training set, regardless of the input value. In case of ties, predict class 1.

What is the Leave-1-Out Cross-Validation accuracy?


A. $0 \%$
B. $10 \%$
C. $50\%$
D. $90 \%$

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$0 \%$ because each of the 10 test examples is classified incorrectly because the majority class of the other 9 is in the opposite class, so the average accuracy is $0 \%$
 
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