In this question, you are asked to trace the Naïve Bayes algorithm for classification on some toy sentences, and then to consider some variants. The following five sentences are the training data: (the number in parentheses indicates the category that each sentence belongs to) The dog barked.  (1) The mouse ran up the clock. (2) The dog ran away. (1) The collie dog barked. (1) A mouse ate the cheese. (2) The following three sentences are the test data: t1 = A dog barked loudly. t2 = The dachshund ran up the hill. t3 = The rodent nibbled the cheese. To which category does the algorithm assign each of the test sentences? Use Laplace smoothing (Add 1 smoothing). Please show your calculations and upload your solution copy .

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
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In this question, you are asked to trace the Naïve Bayes algorithm for classification on some toy sentences, and then to consider some variants.

The following five sentences are the training data:

(the number in parentheses indicates the category that each sentence belongs to)

The dog barked.  (1)

The mouse ran up the clock. (2)

The dog ran away. (1)

The collie dog barked. (1)

A mouse ate the cheese. (2)

The following three sentences are the test data:

t1 = A dog barked loudly.

t2 = The dachshund ran up the hill.

t3 = The rodent nibbled the cheese.

To which category does the algorithm assign each of the test sentences? Use Laplace smoothing (Add 1 smoothing).

Please show your calculations and upload your solution copy . 

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