Open bjcliang-uchi opened 4 years ago
You would have to explain how the method might classify different kinds of points in different ways by observing the plots - or by how it performs differently.
It would be enough for the assignment, but it'll be an useful opportunity to learn how to tackle tougher to classify datasets if you pick up something else.
I am confused with the question: "How does this classify relevant to k-nearest neighbor, Naive Bayes, logistic and decision-tree approaches?"--what does it mean?
Also, I happened to pick a dataset that can be classified super well even with logistic regression (98%). Would this be fine or should I use a harder one?