001...

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 31E
icon
Related questions
Question

I want correct explanation

(b) Assume that we are tasked with training a Naive Bayes classifier over data instances with 100 dimensional
features and binary labels, that is, P(y =0) = P(y = 1) = 0.5. Moreover, all the features are binary valued,
and have the same conditional probabilities as follows:
P(x; = 1|y = 0) = a,
i = 1,..., 100
P(x; = 1|y = 1) = b,
i = 1,..., 100
where 0< a,b< 1. For an item with alternating feature values x = (x1 = 1,x2 = 0,x3 = 1,...,X100 = 0),
compute P(y = 1|x).
Transcribed Image Text:(b) Assume that we are tasked with training a Naive Bayes classifier over data instances with 100 dimensional features and binary labels, that is, P(y =0) = P(y = 1) = 0.5. Moreover, all the features are binary valued, and have the same conditional probabilities as follows: P(x; = 1|y = 0) = a, i = 1,..., 100 P(x; = 1|y = 1) = b, i = 1,..., 100 where 0< a,b< 1. For an item with alternating feature values x = (x1 = 1,x2 = 0,x3 = 1,...,X100 = 0), compute P(y = 1|x).
Expert Solution
steps

Step by step

Solved in 3 steps with 7 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage