Assignment Task
Linear Discriminant Analysis
Q. Given is the following set of decision boundaries for a two class classification problem. Assuming that a classifier method only uses x1 and x2 as input to the model, and there are no nonlinear transformations allowed, which of the following methods could produce each of the decision boundaries?
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(b) Quadratic Discriminant Analysis
(c) Logistic Regression
(d) k-Nearest Neighbors classifier with k = 2
(e) A random forest classifier with 3 trees, for each of the maximum depth is being set to 3
(f) A decision tree classifier with a depth setting of 2
Note: It could always be more than one method per decision boundary. Ideally, write down a short motivation for you choice.
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