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Problem 2 (10pts). Assume the training data for the classification task is given as follows: (r(),y()), (r(2), y()), (r(M), y(M)), with y() {0,1}, i
Problem 2 (10pts). Assume the training data for the classification task is given as follows: (r(),y()), (r(2), y()), (r(M), y(M)), with y() {0,1}, i = 1,2,..., M. The logistic regression is employed to learn this dataset. a) What is the prediction for a given input z? b) What is the loss function of the logistic regression method?
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Elementary Statisitcs
Authors: Barry Monk
2nd edition
1259345297, 978-0077836351, 77836359, 978-1259295911, 1259295915, 978-1259292484, 1259292487, 978-1259345296
