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You have been assigned to build a fact checking software. To make your software generate output correctly, you trained your software on 2753 fake and 4098 authentic news. The word "sadlife" was in 1300 fake news and 1900 authentic news. The threshold for marking as fake is 0.55. a. Now, you have a news article that contains "sadlife". what is the probability that the news will be marked as fake? b. Now, you have a news article that contains "sadlife". What is the probability that the news will be not marked as fake?

You have been assigned to build a fact checking software. To make your software generate output correctly, you trained your software on 2753 fake and 4098 authentic news. The word "sadlife" was in 1300 fake news and 1900 authentic news. The threshold for marking as fake is 0.55. a. Now, you have a news article that contains "sadlife". what is the probability that the news will be marked as fake? b. Now, you have a news article that contains "sadlife". What is the probability that the news will be not marked as fake?

A First Course in Probability (10th Edition)
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...
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You have been assigned to build a fact checking software. To make your software generate output correctly, you trained your software on 2753 fake and 4098 authentic news. The word "sadlife" was in 1300 fake news and 1900 authentic news. The threshold for marking as fake is 0.55. a. Now, you have a news article that contains "sadlife". what is the probability that the news will be marked as fake? b. Now, you have a news article that contains "sadlife". What is the probability that the news will be not marked as fake?
Transcribed Image Text:You have been assigned to build a fact checking software. To make your software generate output correctly, you trained your software on 2753 fake and 4098 authentic news. The word "sadlife" was in 1300 fake news and 1900 authentic news. The threshold for marking as fake is 0.55. a. Now, you have a news article that contains "sadlife". what is the probability that the news will be marked as fake? b. Now, you have a news article that contains "sadlife". What is the probability that the news will be not marked as fake?
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