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ISYE 6501 - MIDTERM 1 QUESTIONS WITH THE BEST ANSWERS 2025

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ISYE 6501 - MIDTERM 1 QUESTIONS WITH THE BEST ANSWERS 2025

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ISIYE 6501
Course
ISIYE 6501










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Institution
ISIYE 6501
Course
ISIYE 6501

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Uploaded on
February 9, 2025
Number of pages
28
Written in
2024/2025
Type
Exam (elaborations)
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Questions & answers

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ISYE 6501 - MIDTERM 1 QUESTIONS WITH THE BEST
ANSWERS 2025

What do descriptive questions ask? - Correct Answer-What happened? (e.g., which
d. d. d. d. d. d. d. d. d. d.




customers are most alike)
d. d. d. d.




What do predictive questions ask? - Correct Answer-What will happen? (e.g., what will
d. d. d. d. d. d. d. d. d. d. d. d.




Google's stock price be?)
d. d. d. d.




What do prescriptive questions ask? - Correct Answer-What action(s) would be best?
d. d. d. d. d. d. d. d. d. d. d.




(e.g., where to put traffic lights)
d. d. d. d. d. d.




What is a model? - Correct Answer-Real-life situation expressed as math.
d. d. d. d. d. d. d. d. d. d.




What do classifiers help you do? - Correct Answer-differentiate
d. d. d. d. d. d. d. d.




What is a soft classifier and when is it used? - Correct Answer-In some cases, there won't
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




be a line that separates all of the labeled examples. So we use a classifier that minimizes
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




the number of mistakes.
d. d. d. d.




What does it mean when the classifier/decision boundary is almost parallel to the vertical
d. d. d. d. d. d. d. d. d. d. d. d. d.




x-axis? - Correct Answer-The horizontal attribute is all that is needed.
d. d. d. d. d. d. d. d. d. d. d.




What does it mean when the classifier/decision boundary is almost parallel to the
d. d. d. d. d. d. d. d. d. d. d. d.




horizontal y-axis? - Correct Answer-The vertical attribute is all that is needed.
d. d. d. d. d. d. d. d. d. d. d. d.




What is time-series data? - Correct Answer-The same data recorded over time often
d. d. d. d. d. d. d. d. d. d. d. d.




recorded at equal intervals
d. d. d. d.




What is quantitative data? - Correct Answer-Number with a meaning: higher means
d. d. d. d. d. d. d. d. d. d. d.




more, lower means less (e.g., age, sales, temperature, income)
d. d. d. d. d. d. d. d. d.

,What is categorical data? - Correct Answer-Numbers w/o meaning (e.g., zip codes), non-
d. d. d. d. d. d. d. d. d. d. d. d.




numeric (e.g., hair color), binary data (e.g., male/female, yes/no, on/off)
d. d. d. d. d. d. d. d. d.




Which of these is time series data? d. d. d. d. d. d.




A. The average cost of a house in the United States every year since 1820
d. d. d. d. d. d. d. d. d. d. d. d. d. d.




B. The height of each professional basketball player in the NBA at the start of the season -
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




Correct Answer-A
d. d.




Which of these is structured data? d. d. d. d. d.




A. The contents of a person's Twitter feed
d. d. d. d. d. d. d.




B. The amount of money in a person's bank account - Correct Answer-B
d. d. d. d. d. d. d. d. d. d. d. d.




What is structured data? - Correct Answer-Data that can be stores in a structured way
d. d. d. d. d. d. d. d. d. d. d. d. d. d.




What is unstructured data? - Correct Answer-Data that is not easily described and
d. d. d. d. d. d. d. d. d. d. d. d.




stored (e.g., written text)
d. d. d. d.




A survey of 25 people recorded each person's family size and type of car. Which of these
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




is a data point?
d. d. d. d.




A. The 14th person's family size and car type
d. d. d. d. d. d. d. d.




B. The 14th person's family size
d. d. d. d. d.




C. The car type of each person - Correct Answer-A.
d. d. d. d. d. d. d. d. d. d.




A data point is all the information about one observation
d. d. d. d. d. d. d. d. d.




The farther the wrongly classified point is from the line ___ - Correct Answer-The bigger
d. d. d. d. d. d. d. d. d. d. d. d. d. d.




the mistake we've made
d. d. d. d.




The term including the margin gets larger so the importance of a large margin out weights
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




avoiding mistakes and classifying known data samples
d. d. d. d. d. d. d.




. - Correct Answer-As lambda gets larger
d. d. d. d. d. d.




That term also drops towards zero, so the importance of minimizing mistakes and
d. d. d. d. d. d. d. d. d. d. d. d.




classifying known data points outweighs having a large margin.
d. d. d. d. d. d. d. d. d.

, d. - Correct Answer-As lambda drops towards zero
d. d. d. d. d. d.




What can svms be used for - Correct Answer-to find a classifier with maximum
d. d. d. d. d. d. d. d. d. d. d. d. d.




separation or margin between the two sets of points?
d. d. d. d. d. d. d. d. d.




When to use SVM? - Correct Answer-If it's impossible to avoid classification errors, SVM
d. d. d. d. d. d. d. d. d. d. d. d. d.




can find a classifier that trades off reducing errors and enlarging the margin.
d. d. d. d. d. d. d. d. d. d. d. d. d.




Error for data point j d. d. d. d. d.




- Correct Answer-What does this formula describe?
d. d. d. d. d. d.




Total error d.




d. - Correct Answer-What does this formula describe ?
d. d. d. d. d. d. d.




To maximize the distance between the two lines what do we need to minimize? - Correct
d. d. d. d. d. d. d. d. d. d. d. d. d. d. d.




Answer-
d.




M_j > 1 - Correct Answer-What value do we give for more costly errors
d. d. d. d. d. d. d. d. d. d. d. d. d.

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