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Let's consider the binary classification problem: Y = { + 1 , 1 } Vector of correct answers: ( y 1 , . . .

Let's consider the binary classification problem: Y ={+1,1}
Vector of correct answers:
(y1,...,y10)=(1,+1,1,1,+1,1,+1,1,1,+1).
Vector of predicted values of some binary classifier:
(a1,...,a10)=(+1,+1,+1,+1,+1,1,1,1,+1,+1).
Calculate: Empirical risk
Note: round answer to hundredths

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