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3. Why is averaging preferred over voting perceptron?

3. Why is averaging preferred over voting perceptron?

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Answer #1

--> If you see rule for the averaging perceptron, It will be classified by adding all the components and taking

      sign of that. Where as in Voting perceptron we give each component a vote and take maximum of them

--> In voting perceptron the problem is we might need to give all the components of x same priority, But

      Here we are giving each one a separate vote which is a problem.

--> That's why averaging is preferred over voting perceptron.

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