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Georgia Institute Of Technology - ISYE 6501Xsample_quiz_questions

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1. Figure A below shows a linear classifier (dashed line) for a classification problem, using two predictors (???? and ????) to separate between black and white points. Figure B shows a CART (classi... fication tree) approach to the same problem. Figure A Figure B In each leaf, “a out of b” means that there are b data points in the leaf, and a of them are classified correctly using the leaf’s answer. a. In Figure A, which predictor (???? or ????) is not important for separating between the black and white points in this model? (CORRECT ANSWER: ????. The classifier is a vertical line, so all that matters is whether x1 is larger or smaller than 3.5.) b. In Figure B, both ???? and ???? are used to classify the points (even though one was unimportant in Figure A). Which classification model do you think is better (Figure A or Figure B), and why? CHOICES i. Figure A, because Figure B overfits the lower-rightmost leaf. ii. Figure B, because it misclassifies 11 points, and Figure A misclassifies 12 points. i. Figure B, because it uses both predictors for classification. ii. Figure A, because it is a simpler model. [Show More]

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