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.
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
Publisher:David Poole
Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
Problem 11AEXP
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