COMPSCI 189 Study Guide - Final Guide: Anatoly Efros, Decision Tree Learning, Logistic Regression
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If you are not sure of your answer you may wish to provide a brief explanation. Do not attach any extra sheets: the total number of points is 150. No partial credit: the set of all correct answers must be checked. First and last name of student to your left. First and last name of student to your right. Squares. (cid:13) can reduce the l1-penalized residual sum of. In this problem, we want to investigate whether given enough training examples, the bayes decision rule gives more accurate results that nearest neighbors. A life insurance company needs to estimate whether a client is at risk of dying in the year to come, based on his age and blood pressure. We call x = [a, b] (a=age, b=blood pressure) the two dimensional input vector and y the outcome (y = 1 if the client dies and y = 1 otherwise).
