Imagine that you have been given a dataset of 1,000 documents that have been classified as being about entertainment or education. There are 700 entertainment documents in the dataset and 300 education documents in the dataset. The tables below give the number of documents from each topic that a selection of words occurred in.

Using a nave Bayes classifier, what is the predicted classification for the following query documents (with only one sentence) (6 points)

a) "machine learning is fun"

b) "christmas family fun"

Data given in the photo attached

4. [Naive Bayes Classifier] Imagine that you have been given a dataset of 1,000 documents that have been classified as being about entertainment or education. There are 700 entertainment documents in the dataset and 300 education documents in the dataset. The tables below give the number of documents from each topic that a selection of words occurred in. Dataset Word-document counts Fun Is Machine Christmas Family Learning entertainment 415 695 35 60 400 70 education 200 295 120 20 10 105 Using a naive Bayes classifier, what is the predicted classification for the following query documents (with only one sentence) (6 points) a) "machine learning is fun" b) "christmas family fun" (No points will be given if no calculation is provided.)