Question: Consider the naive classifier that always predicts no , what would its accuracy ( fraction of correctly labeled examples ) be on the training data,

Consider the naive classifier that always predicts no, what would its accuracy (fraction of correctly labeled examples) be on the training data, and on the test data?

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