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Q4. A logistic regression model was trained on training examples, each of 4 features. Here is the trained model: W =< 1, 2, 3, 4 >, b = 3 a) Given an example x =< -3,-1,2, 3 >, what is the predicted label? What is the confidence of the classifier? Show your work. b) If the true label of the above example is "negative", what is the cross-entropy loss for it?

Q4. A logistic regression model was trained on training examples, each of 4 features. Here is the trained model: W =< 1, 2, 3, 4 >, b = 3 a) Given an example x =< -3,-1,2, 3 >, what is the predicted label? What is the confidence of the classifier? Show your work. b) If the true label of the above example is "negative", what is the cross-entropy loss for it?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Q4. A logistic regression model was trained on training examples, each of 4 features. Here is the trained model: W = 1, 2, 3, 4>, b = 3 - a) Given an example <-3, 1, 2, 3 >, what is the predicted label? What is the confidence of the classifier? Show your work. b) If the true label of the above example is "negative", what is the cross-entropy loss for it?
Transcribed Image Text:Q4. A logistic regression model was trained on training examples, each of 4 features. Here is the trained model: W = 1, 2, 3, 4>, b = 3 - a) Given an example <-3, 1, 2, 3 >, what is the predicted label? What is the confidence of the classifier? Show your work. b) If the true label of the above example is "negative", what is the cross-entropy loss for it?
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