Let Y:{-1, 1} be a binary variable Y and consider its prediction from a variable X: →R. Prove that the Bayes predictors for the 0/1 loss function r(y, y) = 1yty and for the quadratic loss r(y, y) = (y - y)² coincide.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
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Let Y : N { 1,1} be a binary variable Y and consider its prediction from a variable X:
N - R.
Prove that the Bayes predictors for the 0/1 loss function r(y, y) 1yy and for the quadr atic
loss r(y, y) = (y-y) coincide.
Transcribed Image Text:Let Y : N { 1,1} be a binary variable Y and consider its prediction from a variable X: N - R. Prove that the Bayes predictors for the 0/1 loss function r(y, y) 1yy and for the quadr atic loss r(y, y) = (y-y) coincide.
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