ISYE 6501 – Final Exam Questions & Answers| Grade A+ |
100% Correct (Verified Solutions) Georgia Tech
Question 1
What do we do after we've performed cross-validation?
Correct Answer
We train the model again using all the data.
Question 2
Why is GARCH different from ARIMA and exponential smoothing?
Correct Answer
GARCH estimates variance
ARIMA and exponential smoothing both estimate the value of an attribute; GARCH estimates the variance
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Correct! Prediction from feature data
Prediction from time-series data
Variable selection
, 0..5 pts
Question 2
Select the type of problem that fractional factorial design is best
suited for.
Classification
Clustering
Correct! Experimental design
Prediction from time-series data
Variable selection and/or prediction from feature data
0..5 pts
Question 3
Select the type of problem that lasso regression is best suited for.
Classification
Clustering
Experimental design
Prediction from time-series data
Correct! Variable selection and/or prediction from feature data
, 0..5 pts
Question 4
Select the type of problem that logistic regression is best suited
for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 5
Select the type of problem that k-means is best suited for.
Classification
Correct! Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
, Variable selection
0..5 pts
Question 6
Select the type of problem that support vector machine is best
suited for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 7
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Experimental design
100% Correct (Verified Solutions) Georgia Tech
Question 1
What do we do after we've performed cross-validation?
Correct Answer
We train the model again using all the data.
Question 2
Why is GARCH different from ARIMA and exponential smoothing?
Correct Answer
GARCH estimates variance
ARIMA and exponential smoothing both estimate the value of an attribute; GARCH estimates the variance
0..5 pts
Question 1
Select the type of problem that linear regression is best suited for.
Classification
Clustering
Experimental design
Correct! Prediction from feature data
Prediction from time-series data
Variable selection
, 0..5 pts
Question 2
Select the type of problem that fractional factorial design is best
suited for.
Classification
Clustering
Correct! Experimental design
Prediction from time-series data
Variable selection and/or prediction from feature data
0..5 pts
Question 3
Select the type of problem that lasso regression is best suited for.
Classification
Clustering
Experimental design
Prediction from time-series data
Correct! Variable selection and/or prediction from feature data
, 0..5 pts
Question 4
Select the type of problem that logistic regression is best suited
for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 5
Select the type of problem that k-means is best suited for.
Classification
Correct! Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
, Variable selection
0..5 pts
Question 6
Select the type of problem that support vector machine is best
suited for.
Correct! Classification and/or prediction from feature data
Clustering
Experimental design
Prediction from time-series data
Variable selection
0..5 pts
Question 7
Select the type of problem that GARCH is best suited for.
Classification and/or prediction from feature data
Clustering
Experimental design
