ISYE6501 Final EXAM QUESTIONS AND ANSWERS LATEST UPDATE
ISYE6501 Final EXAM QUESTIONS AND ANSWERS LATEST UPDATE What do descriptive questions ask? - ANSWER-- What happened? (e.g., which customers are most alike) What do predictive questions ask? - ANSWER-- What will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - ANSWER-- What action(s) would be best? (e.g., where to put traffic lights) What is a model? - ANSWER-- Real-life situation expressed as math. What do classifiers help you do? - ANSWER-- differentiate What is a soft classifier and when is it used? - ANSWER-- In some cases, there won't be a line that separates all of the labeled examples. So we use a classifier that minimizes the number of mistakes. What does it mean when the classifier/decision boundary is almost parallel to the vertical x-axis? - ANSWER-- The horizontal attribute is all that is needed. What does it mean when the classifier/decision boundary is almost parallel to the horizontal y-axis? - ANSWER-- The vertical attribute is all that is needed. What is time-series data? - ANSWER-- The same data recorded over time often recorded at equal intervals What is quantitative data? - ANSWER-- Number with a meaning: higher means more, lower means less (e.g., age, sales, temperature, income) What is categorical data? - ANSWER-- Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair color), binary data (e.g., male/female, yes/no, on/off)
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