Given the training set (the following table) and X {youth, low, excellent}, a Nave Bayes classifier...
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Given the training set (the following table) and X {"youth", "low", "excellent"}, a Nave Bayes classifier is trained based on the given training set, please answer the following questions. Table 3: Training Data Credit rating Class: buys.computer Age senior Income low excellent no senior medium fair no middle aged medium fair yes middle aged low fair yes senior low fair no youth medium excellent yes middle aged high excellent yes youth high fair yes youth low fair yes youth medium fair no 1. (2 points) What is the probability that buys.computer = no (P(no))? 2. (2 points) What is the probability that buys.computer = yes (P(yes))? 3. (2 points) What is the probability, P(X|no)? 1. (2 points) What is the probability P(X|yes)? 5. (2 points) Which class should X belong to? Given the training set (the following table) and X {"youth", "low", "excellent"}, a Nave Bayes classifier is trained based on the given training set, please answer the following questions. Table 3: Training Data Credit rating Class: buys.computer Age senior Income low excellent no senior medium fair no middle aged medium fair yes middle aged low fair yes senior low fair no youth medium excellent yes middle aged high excellent yes youth high fair yes youth low fair yes youth medium fair no 1. (2 points) What is the probability that buys.computer = no (P(no))? 2. (2 points) What is the probability that buys.computer = yes (P(yes))? 3. (2 points) What is the probability, P(X|no)? 1. (2 points) What is the probability P(X|yes)? 5. (2 points) Which class should X belong to?
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To calculate the probabilities and determine which class X belongs to we first need to calculate som... View the full answer
Related Book For
Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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