Suppose we have 4 documents. We have also classified 3 messages as normal and 1 as spam. Use Naïve Bayes multinomial to answer the question that follows. Use alpha=1 to avoid zero probabilities. Message Content Classification 1 Chinese Beijing Chinese Normal 2 Chinese Chinese Shanghai Normal 3 Chinese Macao Normal 4 Tokyo Japan Chinese Spam Round your answer to the nearest ten thousand P(Tokyo | Spam)

Suppose we have 4 documents. We have also classified 3 messages as normal and 1 as spam. Use Naïve Bayes multinomial to answer the question that follows. Use alpha=1 to avoid zero probabilities. Message Content Classification 1 Chinese Beijing Chinese Normal 2 Chinese Chinese Shanghai Normal 3 Chinese Macao Normal 4 Tokyo Japan Chinese Spam Round your answer to the nearest ten thousand P(Tokyo | 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...

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Concept explainers

Network transmission cabling

A network is a collection of devices connected by communication links. A device can be a computer or any instrument capable of sending and receiving data or information formed by other nodes toward the network. A channel that connects people or things is known as a network. It sends the data from one place to another. It is the basic concept of a computer, network, and data communications.

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Suppose we have 4 documents. We have also classified 3 messages as normal and 1 as spam. Use Naïve Bayes multinomial to answer the question that follows. Use alpha=1 to avoid zero probabilities.

Message	Content	Classification
1	Chinese Beijing Chinese	Normal
2	Chinese Chinese Shanghai	Normal
3	Chinese Macao	Normal
4	Tokyo Japan Chinese	Spam

Round your answer to the nearest ten thousand

P(Tokyo | Spam)

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