ISYE 6501 - Midterm 1 Exam with Answers
Question 1
What do descriptive questions ask?
Correct Answer
What happened? (e.g., which customers are most alike)
Question 2
What do predictive questions ask?
Correct Answer
What will happen? (e.g., what will Google's stock price be?)
Question 3
What do prescriptive questions ask?
Correct Answer
What action(s) would be best? (e.g., where to put traffic lights)
Question 4
What is a model?
Correct Answer
Real-life situation expressed as math.
Question 5
What do classifiers help you do?
Correct Answer
differentiate
Page 1 of 50
,Question 6
What is a soft classifier and when is it used?
Correct 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.
Question 7
What does it mean when the classifier/decision boundary is almost parallel to the
vertical x-axis?
Correct Answer
The horizontal attribute is all that is needed.
Question 8
What does it mean when the classifier/decision boundary is almost parallel to the
horizontal y-axis?
Correct Answer
The vertical attribute is all that is needed.
Question 9
What is time-series data?
Correct Answer
The same data recorded over time often recorded at equal intervals
Question 10
What is quantitative data?
Correct Answer
Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
Page 2 of 50
,Question 11
What is categorical data?
Correct 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)
Question 12
Which of these is time series data?
A. The average cost of a house in the United States every year since 1820
B. The height of each professional basketball player in the NBA at the start of the
season
Correct Answer
A
Question 13
Which of these is structured data?
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
Correct Answer
B
Question 14
What is structured data?
Correct Answer
Data that can be stores in a structured way
Question 15
What is unstructured data?
Correct Answer
Data that is not easily described and stored (e.g., written text)
Page 3 of 50
, Question 16
A survey of 25 people recorded each person's family size and type of car. Which of
these is a data point?
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
Correct Answer
A.
A data point is all the information about one observation
Question 17
The farther the wrongly classified point is from the line ___
Correct Answer
The bigger the mistake we've made
Question 18
The term including the margin gets larger so the importance of a large margin out
weights avoiding mistakes and classifying known data samples.
Correct Answer
As lambda gets larger
Question 19
That term also drops towards zero, so the importance of minimizing mistakes and
classifying known data points outweighs having a large margin.
Correct Answer
As lambda drops towards zero
Question 20
What can SVMs be used for
Correct Answer
to find a classifier with maximum seperation or margin between the two sets of
points?
Page 4 of 50
Question 1
What do descriptive questions ask?
Correct Answer
What happened? (e.g., which customers are most alike)
Question 2
What do predictive questions ask?
Correct Answer
What will happen? (e.g., what will Google's stock price be?)
Question 3
What do prescriptive questions ask?
Correct Answer
What action(s) would be best? (e.g., where to put traffic lights)
Question 4
What is a model?
Correct Answer
Real-life situation expressed as math.
Question 5
What do classifiers help you do?
Correct Answer
differentiate
Page 1 of 50
,Question 6
What is a soft classifier and when is it used?
Correct 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.
Question 7
What does it mean when the classifier/decision boundary is almost parallel to the
vertical x-axis?
Correct Answer
The horizontal attribute is all that is needed.
Question 8
What does it mean when the classifier/decision boundary is almost parallel to the
horizontal y-axis?
Correct Answer
The vertical attribute is all that is needed.
Question 9
What is time-series data?
Correct Answer
The same data recorded over time often recorded at equal intervals
Question 10
What is quantitative data?
Correct Answer
Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
Page 2 of 50
,Question 11
What is categorical data?
Correct 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)
Question 12
Which of these is time series data?
A. The average cost of a house in the United States every year since 1820
B. The height of each professional basketball player in the NBA at the start of the
season
Correct Answer
A
Question 13
Which of these is structured data?
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
Correct Answer
B
Question 14
What is structured data?
Correct Answer
Data that can be stores in a structured way
Question 15
What is unstructured data?
Correct Answer
Data that is not easily described and stored (e.g., written text)
Page 3 of 50
, Question 16
A survey of 25 people recorded each person's family size and type of car. Which of
these is a data point?
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
Correct Answer
A.
A data point is all the information about one observation
Question 17
The farther the wrongly classified point is from the line ___
Correct Answer
The bigger the mistake we've made
Question 18
The term including the margin gets larger so the importance of a large margin out
weights avoiding mistakes and classifying known data samples.
Correct Answer
As lambda gets larger
Question 19
That term also drops towards zero, so the importance of minimizing mistakes and
classifying known data points outweighs having a large margin.
Correct Answer
As lambda drops towards zero
Question 20
What can SVMs be used for
Correct Answer
to find a classifier with maximum seperation or margin between the two sets of
points?
Page 4 of 50