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where p(m3-|Ck) can be estimated by the number of times word 2' was observed in class Ck plus a smoothing factor divided by the total

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where p(m3-|Ck) can be estimated by the number of times word 2' was observed in class Ck plus a smoothing factor divided by the total number of words in Ck In the testing phase, given a new example xt, you can output the class assignment for this example by comparing log p(Cl|xt) and log p(02|x3). If 10g p(02|xt) > log p(Cl|xt), assign 02 to this example. You need to divide the data into training and testing. Make sure the testing data has equal number of samples from Conan Doyle and Jane Austen. Report accuracy on test data using your Naive Bayes Classier.Do not use any package / tool

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