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D Question 9 2 pts Match the term to the definition. The most common use for Naive Bayes in data analytics [ Choose ] Used

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D Question 9 2 pts Match the term to the definition. The most common use for Naive Bayes in data analytics [ Choose ] Used in conjunction with the Naive Bayes classifier to attack a problem [ Choose ] Two practical hurdles (issues) in implementing Naive Bayes using Excel are [ Choose ] Words having little lexical content [ Choose ] "Training" a model to make predictions using previously classified data [ Choose ] [ Choose ] Supervised Data Mining Document Classification Rare Words, Floating-point underflow Stop Words D Question 10 Bag-of-Words model 8 pts To use the Naive Bayes model in our example, you must (1) prep the tweets, (2) tokenize them, (3) calculate their logged (In) token probabilities for both classes, and (4) determine which class is most likely. Briefly explain each step (20+ words each step) Edit View Insert Format Tools Table 12pt " Paragraph * B I U Av Z V TV V V Q BY ROS

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