12/13/25, 3:39 PM ISYE 6501 - Final Exam | Quizlet
Name: Score:
20 Multiple choice questions
Term 1 of 20
what is rectangular distance useful for?
calculating driving distance when the city is mapped in a grid
calculating flight distance between cities
determining distance in three-dimensional environments
measuring distance in curved spaces
Term 2 of 20
what are some areas where deep learning is useful
We make sure each part of the data is equally separated.
recognizing speech and writing, natural language processing, and image recognition.
transformation of input data, consider interaction terms, variable selection, has trees
flow into node = flow out of node; flow on arc between min and max allowable
Term 3 of 20
What is a training set used for
used to select model parameters
used to test model accuracy
used to fit the models
used to evaluate model performance
https://quizlet.com/test/isye-6501-final-exam-290666437 1/8
, 12/13/25, 3:39 PM ISYE 6501 - Final Exam | Quizlet
Term 4 of 20
what question is the wilcoxon signed rank test trying to answer
We train the model again using all the data.
When more than 5% of the data is moving per factor
When we see a new point, we just choose whichever cluster center is closest.
is the median of the distribution different from m
Term 5 of 20
Why doesn't Ridge Regression perform variable selection?
Since we expect there to be some randomness, we include a value C to pull
the running total down
What value do we give for more costly errors
The coefficients values are squared so they go closer to zero or regularizes
them
it is a combination of forward selection and backward elimination. We can
either start with all factors or no factors and at each step we remove or add
a factor. As we go through the procedure after adding each new factor and
at the end we eliminate right away factors that no longer appear.
https://quizlet.com/test/isye-6501-final-exam-290666437 2/8
Name: Score:
20 Multiple choice questions
Term 1 of 20
what is rectangular distance useful for?
calculating driving distance when the city is mapped in a grid
calculating flight distance between cities
determining distance in three-dimensional environments
measuring distance in curved spaces
Term 2 of 20
what are some areas where deep learning is useful
We make sure each part of the data is equally separated.
recognizing speech and writing, natural language processing, and image recognition.
transformation of input data, consider interaction terms, variable selection, has trees
flow into node = flow out of node; flow on arc between min and max allowable
Term 3 of 20
What is a training set used for
used to select model parameters
used to test model accuracy
used to fit the models
used to evaluate model performance
https://quizlet.com/test/isye-6501-final-exam-290666437 1/8
, 12/13/25, 3:39 PM ISYE 6501 - Final Exam | Quizlet
Term 4 of 20
what question is the wilcoxon signed rank test trying to answer
We train the model again using all the data.
When more than 5% of the data is moving per factor
When we see a new point, we just choose whichever cluster center is closest.
is the median of the distribution different from m
Term 5 of 20
Why doesn't Ridge Regression perform variable selection?
Since we expect there to be some randomness, we include a value C to pull
the running total down
What value do we give for more costly errors
The coefficients values are squared so they go closer to zero or regularizes
them
it is a combination of forward selection and backward elimination. We can
either start with all factors or no factors and at each step we remove or add
a factor. As we go through the procedure after adding each new factor and
at the end we eliminate right away factors that no longer appear.
https://quizlet.com/test/isye-6501-final-exam-290666437 2/8
