GT Students
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied or sca
...
GT Students
180 Minute Time Limit
Instructions
Work alone. Do not collaborate with or copy from anyone else.
You may use any of the following resources:
Two sheets (both sides) of handwritten (not photocopied or scanned) notes
Blank scratch paper and pen/pencil
If any question seems ambiguous, use the most reasonable interpretation (i.e. don't be like Calvin):
Good Luck!
This the beginning of the Final Quiz. Please make sure that you submit all your answers before the time runs out. Once you submit an
answer to a question, you cannot change it. There is no overall Submit button.
Information for Question 1
There are eight questions labeled "Question 1." Answer all eight questions. For each of the following eight questions, select the type of problem
that the model is best suited for. For each question there may be more than one correct answer; you need only choose one. Each type of
problem might be used zero, one, or more than one time in the eight questions.
Question 1
0.5/0.5 points (graded)
Select the type of problem that linear regression is best suited for. There may be more than one correct answer; you need only choose one.
You have used 1 of 1 attempt
Question 1
0.5/0.5 points (graded)
Select the type of problem that k-means is best suited for. There may be more than one correct answer; you need only choose one.
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
Variable selection
Submit
ClassiÕcation
Clustering
Experimental design
Prediction from feature data
Prediction from time-series data
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