12. Imagine that the proportion of all e-mails in our training data that are spam is .62, and the proportion of e-mails that are ham is .38. An e-mail comes through our Bayesian filter and it contains only two words: "lucrative lottery." From our training data, we know the probabilities that each of these words would appear in either type of e-mail. The probabilities are shown below: SPAM НАМ lucrative .05 .01 lottery .15 .03 Using a naive bayes methodology, what is the probability that this e-mail is spam?
12. Imagine that the proportion of all e-mails in our training data that are spam is .62, and the proportion of e-mails that are ham is .38. An e-mail comes through our Bayesian filter and it contains only two words: "lucrative lottery." From our training data, we know the probabilities that each of these words would appear in either type of e-mail. The probabilities are shown below: SPAM НАМ lucrative .05 .01 lottery .15 .03 Using a naive bayes methodology, what is the probability that this e-mail is spam?
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
Related questions
Question
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 1 images
Recommended textbooks for you
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON