Suppose you train the following logistic regression model: h(x; w) = 0(w + wiz1 + uzz2) to fit some data, where o(2) = 1/(1+e) is the sigmoid function, and you find the following weights: wp = 2, wi 0, wz =-1. “球、“事 Which of the following figures represents the decisions made by this hypothesis function? 4Predict ye4 Predict "y-0 Predict y- 1 Predict y Predict y-1 Predict Predict y (F) Predic (D) (C) (A) OE O A OF D None of these. OB

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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Suppose you train the following logistic regression model: h(x; w) = a(wo + W1T1 + wy#2) to
fit some data, where a(2) = 1/(1 +e) is the sigmoid function, and you find the following
weights: wn = 2, wi = 0, wy = -1.
its
Which of the following figures represents the decisions made by this hypothesis function?
X24
Predict "y-0"
2-
Predict y" 4
Predict "y-1
Predict "y1
Predict "y-1"
Predict "y-g
Predict y"
(F)
Predictyo
(E)
(D)
(C)
(B)
(A)
OE
O A
OF
OD
O None of these.
OB
Transcribed Image Text:Suppose you train the following logistic regression model: h(x; w) = a(wo + W1T1 + wy#2) to fit some data, where a(2) = 1/(1 +e) is the sigmoid function, and you find the following weights: wn = 2, wi = 0, wy = -1. its Which of the following figures represents the decisions made by this hypothesis function? X24 Predict "y-0" 2- Predict y" 4 Predict "y-1 Predict "y1 Predict "y-1" Predict "y-g Predict y" (F) Predictyo (E) (D) (C) (B) (A) OE O A OF OD O None of these. OB
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