Machine Learning

Q8) [15 pta]Naive Bayes. Here is an example dataset which contains features from two classes: dogs and cats. Our aim is to train a naive bayes model to distinguish dogs from cats. Fill in numerical values for the following expressions. Leave your answers as common fractions (e.g., 1/4, 3/5). P(Dog)=P(Sound=MeowClass=Dog)=P(Sound=BarkClass=Dog)=P(Fur=CoarseClass=Dog)=P(Fur=FineClass=Dog)=P(Cat)=P(Sound=MeowClass==Cat)=P(Sound=BarkClass=Cat)=P(Fur=CoarseClass=Cat)=P(Fur=FineClass=Cat)= Consider a new example (Sound=Bark and Fur=Coarse). Write these class probabilities based on a Naive Bayes model. P(Class=Dog Sound=Bark and Fur=Coarse )= P(Class=Cat | Sound=Bark and Fur=Coarse) = What will be the predicted class according to this model