Using a Naive Bayes Classifier

Question

Hi, I'm really unsure of how to do this problem. Does anyone with expertise in Machine Learning know how to do this problem?

Answer 1

This explains the concept of Naive Bayes classifier. A "naiveness" in NBC is an assumption of independence of variables. For example, you can assume that Study outcome does not depend on Neighbor being home. This post explains it. So for the first question

$P(Happy) = P(W=Good) \cdot P(S=Pass) \cdot P(N=Out)$

For the second this assumption does not hold, and

$P(Happy) = P(W=Good) \cdot P(S=Pass|N=Out)$

Of course, relationships might be more complicated, as Neighbor can go out only when it is good weather.