4/15/26, 3:42 PM ISYE 6501 - Midterm 1 Flashcards | Quizlet
ISYE 6501 - Midterm 1
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ISYE 6501 - Final Exam ISYE 6501 - Midterm 2 ISYE 6501 Midterm 1 ISYE 65
414 terms 160 terms 110 terms 321 term
oanise Preview oanise Preview claudiahays Preview Mile
Terms in this set (254)
What do descriptive questions ask? What happened? (e.g., which customers are most alike)
What do predictive questions ask? What will happen? (e.g., what will Google's stock price be?)
What do prescriptive questions ask? What action(s) would be best? (e.g., where to put traffic lights)
What is a model? Real-life situation expressed as math.
What do classifiers help you do? differentiate
What is a soft classifier and when is it used? 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 The horizontal attribute is all that is needed.
is almost parallel to the vertical x-axis?
What does it mean when the classifier/decision boundary The vertical attribute is all that is needed.
is almost parallel to the horizontal y-axis?
What is time-series data? The same data recorded over time often recorded at equal intervals
What is quantitative data? Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
What is categorical data? 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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, 4/15/26, 3:42 PM ISYE 6501 - Midterm 1 Flashcards | Quizlet
Which of these is time series data? A
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
Which of these is structured data? B
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
What is structured data? Data that can be stores in a structured way
What is unstructured data? Data that is not easily described and stored (e.g., written text)
A survey of 25 people recorded each person's family size A.
and type of car. Which of these is a data point? A data point is all the information about one observation
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
The farther the wrongly classified point is from the line ___ The bigger the mistake we've made
The term including the margin gets larger so the As lambda gets larger
importance of a large margin out weights avoiding
mistakes and classifying known data samples.
That term also drops towards zero, so the importance of As lambda drops towards zero
minimizing mistakes and classifying known data points
outweighs having a large margin.
What can SVMs be used for to find a classifier with maximum seperation or margin between the two sets of
points?
When to use SVM? If it's impossible to avoid classification errors, SVM can find a classifier that trades
off reducing errors and enlarging the margin.
Error for data point j What does this formula describe?
Total error What does this formula describe ?
https://quizlet.com/271026865/isye-6501-midterm-1-flash-cards/ 2/8
ISYE 6501 - Midterm 1
7 studiers in 3 days 4.6 (67 reviews)
Save
Students also studied
Flashcard sets Study guides
ISYE 6501 - Final Exam ISYE 6501 - Midterm 2 ISYE 6501 Midterm 1 ISYE 65
414 terms 160 terms 110 terms 321 term
oanise Preview oanise Preview claudiahays Preview Mile
Terms in this set (254)
What do descriptive questions ask? What happened? (e.g., which customers are most alike)
What do predictive questions ask? What will happen? (e.g., what will Google's stock price be?)
What do prescriptive questions ask? What action(s) would be best? (e.g., where to put traffic lights)
What is a model? Real-life situation expressed as math.
What do classifiers help you do? differentiate
What is a soft classifier and when is it used? 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 The horizontal attribute is all that is needed.
is almost parallel to the vertical x-axis?
What does it mean when the classifier/decision boundary The vertical attribute is all that is needed.
is almost parallel to the horizontal y-axis?
What is time-series data? The same data recorded over time often recorded at equal intervals
What is quantitative data? Number with a meaning: higher means more, lower means less (e.g., age, sales,
temperature, income)
What is categorical data? Numbers w/o meaning (e.g., zip codes), non-numeric (e.g., hair color), binary data
(e.g., male/female, yes/no, on/off)
https://quizlet.com/271026865/isye-6501-midterm-1-flash-cards/ 1/8
, 4/15/26, 3:42 PM ISYE 6501 - Midterm 1 Flashcards | Quizlet
Which of these is time series data? A
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
Which of these is structured data? B
A. The contents of a person's Twitter feed
B. The amount of money in a person's bank account
What is structured data? Data that can be stores in a structured way
What is unstructured data? Data that is not easily described and stored (e.g., written text)
A survey of 25 people recorded each person's family size A.
and type of car. Which of these is a data point? A data point is all the information about one observation
A. The 14th person's family size and car type
B. The 14th person's family size
C.The car type of each person
The farther the wrongly classified point is from the line ___ The bigger the mistake we've made
The term including the margin gets larger so the As lambda gets larger
importance of a large margin out weights avoiding
mistakes and classifying known data samples.
That term also drops towards zero, so the importance of As lambda drops towards zero
minimizing mistakes and classifying known data points
outweighs having a large margin.
What can SVMs be used for to find a classifier with maximum seperation or margin between the two sets of
points?
When to use SVM? If it's impossible to avoid classification errors, SVM can find a classifier that trades
off reducing errors and enlarging the margin.
Error for data point j What does this formula describe?
Total error What does this formula describe ?
https://quizlet.com/271026865/isye-6501-midterm-1-flash-cards/ 2/8
