Problem 2 (10pts). Assume the training data for the classification task is given as follows: (r(),y()),...

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Problem 2 (10pts). Assume the training data for the classification task is given as follows: (r(¹),y(¹)), (r(2), y(²)), (r(M), y(M)), with y(¹) € {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? Problem 2 (10pts). Assume the training data for the classification task is given as follows: (r(¹),y(¹)), (r(2), y(²)), (r(M), y(M)), with y(¹) € {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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1 Solution Logistic regression is used for classification tasks Since in the question we can see tha... View the full answer