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ISyE 6501 Final QuizISyE 6501 Final Quiz
Typology: Exams
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LATEST Attempt 1 144 minutes 94.57 out of 100.
Correct!
Variable selection
Prediction from time-series data
Prediction from feature data
Experimental design
Clustering
Classification
Question 1
Classification and/or prediction from feature data
Clustering
Experimental design
Correct!
Prediction from time-series data
Question 2
Correct!
Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
Correct!
Variable selection
Prediction from time-series data
Prediction from feature data
Experimental design
Clustering
Classification
Question 6
Classification and/or prediction from feature data
Clustering
Experimental design
Correct!
Prediction from time-series data
Question 7
Variable selection
Correct!
Variable selection
Prediction from time-series data
Prediction from feature data
Experimental design
Clustering
Classification
Question 8
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict the p robability of something happening two time periods in
the future
Question 9
Using time-series data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Correct!
Using time-series data to predict the variance of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in
the future
Using feature data to predict the p robability of something happening two time periods in
the future
Using feature data to predict the amount of something two time periods in the future
Question 12
Using feature data to predict the amount of something two time periods in the future
Using feature data to predict the p robability of something happening two time periods in
the future
Question 13
Correct!
Using feature data to predict whether or not something will happen two time periods in
the future
Using time-series data to predict the amount of something two time periods in the future
Using time-series data to predict the variance of something two time periods in the future
Correct!
Using time-series data to predict the variance of something two time periods in the future
Using time-series data to predict the amount of something two time periods in the future
Using feature data to predict whether or not something will happen two time periods in
the future
Using feature data to predict the amount and/or probability of something two time
periods in the future
Question 14
Using feature data to predict the amount and/or probability of something two time
periods in the future
Using feature data to predict whether or not something will happen two time periods in
the future
Question 15
Correct! NOT TIME-SERIES
Correct! TIME-SERIES
Correct! NOT TIME-SERIES
Correct!
Correct!
Correct!
Question 18
Question 19
1
Correct!
No, don't use variable selection
Correct! Yes, use variable selection
Correct! Yes, use variable selection
Correct! Yes, use variable selection
Correct!
Linear programming (optimization)
Linear regression
Discrete-event simulation
Question 20
1
Correct!
None of the other choices
Support vector machine
Scale data
Random forest
Make predictions from models
Linear regression
k-nearest-neighbor
k-means
Holt-Winters
Graphing
Cross-validation
Question 24
Cross-validation
Question 25
1
Graphing
Holt-Winters
k-means
k-nearest-neighbor
Linear regression
Make predictions from models
Random forest
Scale data
Support vector machine
Train various models
Correct!
None of the other choices
1
Question
Random forest
Scale data
Support vector machine
Correct!
Train various models
None of the other choices
1
Cross-validation
Coorrrectct!
Graphing
Holt-Winters
k-means
k-nearest-neighbor
Linear regression
Make predictions from models
Random forest
Scale data
Support vector machine
Train various models
None of the other choices
Question
Cross-
Graphi
Holt-
k-
k-nearest-
Linear
Make predictions from
Random
Scale
Train various
None of the other
Cross-validation
Graphing
Question 29
1
Coorrrectct!
Support vector
Cross-validation
Graphing
Holt-Winters
k-means
k-nearest-neighbor
Linear regression
Make predictions from models
Question 30
1
Question
Cross-
Graphi
Holt-
k-
k-nearest-
Linear
Random
Scale
Support vector
Train various
None of the other
Random forest
Correct!
Scale data
Support vector machine
Train various models
None of the other choices
1
o
or r
re ct
ct!
Make predictions from