Use two features (F1, F2) in the 'data.xlsx' file I emailed you to predict "T". Build a classifier using Naive Bayes, very similar to what we did in the class. Report the chance of being class "1" if F1 and F2 are equal to 1 and 0, respectively, in percentage.

(70 Points)

99%

0.99%

37%

73%

3.Look at the 8 conditional probabilities you calculated for the previous questions, for instance Prob(F1 =1, T = 1) and the other 7 ones. You pay Facebook to get F1 and F2 features to build your model. Can you tell which feature is more important than the other one in determining the final answer? Maybe you can "remove" a non-relevant feature and save money, but still have a good model.

(30 Points)

F1 is irrelevant, we can remove it

F2 is irrelevant, we canremove it

We cannot determine that