Question: In a binary classification problem, assume we have a classifier R that guesses randomly (50/50 positive/negative). For data that has 70% positive and 30% negative

In a binary classification problem, assume we have a classifier R that guesses randomly (50/50 positive/negative). For data that has 70% positive and 30% negative instances, show that R gets 50% error.

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