You are trying to predict if a consumer who was targeted by a marketing campaign will purchase your company's product or not. You build a logistic model to make that prediction and train it on a data set with 6 examples. The table below tells you whether the consumers in your data purchased the product or not. Consumer Purchased product? No Yes 3 Yes 14 No 15 Yes No Let P, be the probability that consumer i purchases the product. The logistic regression estimates will be obtained as the result of the maximization of which likelihood function? O PIP2P3PaPsP6 o (1-PıX1-P.)(1-P:X1-P.)(1-Ps)(1-Pe)
You are trying to predict if a consumer who was targeted by a marketing campaign will purchase your company's product or not. You build a logistic model to make that prediction and train it on a data set with 6 examples. The table below tells you whether the consumers in your data purchased the product or not. Consumer Purchased product? No Yes 3 Yes 14 No 15 Yes No Let P, be the probability that consumer i purchases the product. The logistic regression estimates will be obtained as the result of the maximization of which likelihood function? O PIP2P3PaPsP6 o (1-PıX1-P.)(1-P:X1-P.)(1-Ps)(1-Pe)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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
Transcribed Image Text:You are trying to predict if a consumer who was targeted by a marketing campaign will purchase your company's product or not. You build a logistic model to make
that prediction and train it on a data set with 6 examples. The table belovw tells you whether the consumers in your data purchased the product or not.
Consumer
Purchased product?
1
No
Yes
3
Yes
4
No
15
Yes
6
No
Let P, be the probability that consumer i purchases the product. The logistic regression estimates will be obtained as the result of the maximization of which
likelihood function?
O PIP2P3P4PSP6
o (1-P.X1-P.)(1- P:X1-Pa)(1 - Ps)(1- Pe)
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