Given Email B with its feature vector. Compute the probability of email B being “spam” and “ham” using Naïve bayes algorithm and then finally assign
Given Email B with its feature vector. Compute the probability of email B being “spam” and “ham” using Naïve bayes algorithm and then finally assign
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Q: Given Email B with its feature vector. Compute the probability of email B being “spam” and “ham” using Naïve bayes
P(spam) = 0.65
Email B = < 0, 1, 1, 1 >, = < count(meeting), count(enron), count(dating), count(hi) >
P (meeting | spam) = 0.6, P (meeting | ham) = 0.02
P (enron | spam) = 0.4, P (enron | ham) = 0.001
P (dating | spam) = 0.7, P (dating | ham) = 0.005
P (hi | spam) = 0.3, P (hi | ham) = 0.09
Course/Subject: Introduction to Data Science.
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