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Georgia Institute Of Technology ISYE 6501 Week 1 Homework (Complete Solution)

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Question 2.1 Describe a situation or problem from your job, everyday life, current events, etc., for which a classification model would be appropriate. List some (up to 5) predictors that you might ... use. https://www.forbes.com/sites/shaharziv/2020/05/14/exclusive-proposal-dont-give-americans-equal-1200-second-stimulus-checks-save-35- billion/#55f2eb9056ec If the US federal government wants to more efficiently distribute stimulus funds, they could vary the amount of money that goes to each household. Residents of states with a higher cost of living would get more money, and residents of states with a lower cost of living would get less money. In addition, families with more children would still get more money. Finally, people who have filed for unemployment would get a larger stimulus than people who are currently employed. In summary, here are the predictors that could be used to determine the amount of stimulus issued by the government: 1. Yearly Income 2. Cost of Living in State of Residence 3. Number of Dependents Question 2.2 Part 1: Using the support vector machine function ksvm contained in the R package kernlab, find a good classifier for this data. Show the equation of your classifier, and how well it classifies the data points in the full data set. (Don’t worry about test/validation data yet; we’ll cover that topic soon.) [Show More]

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