ISYE 6501 QUESTIONS WITH GUARANTEED ACCURATE ANSWERS
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Course
ISYE 6501
Institution
ISYE 6501
ISYE 6501 QUESTIONS WITH GUARANTEED ACCURATE ANSWERS
Overfitting - ACCURATE ANSWERIf you have less data than features, what is likely to occur?
Fitting random effects - ACCURATE ANSWERWhat can too many factors lead to?
Simple Models - ACCURATE ANSWERReducing variables will result in
For...
ISYE 6501 QUESTIONS WITH
GUARANTEED ACCURATE
ANSWERS
Overfitting - ACCURATE ANSWER✅✅If you have less data than features, what
is likely to occur?
Fitting random effects - ACCURATE ANSWER✅✅What can too many factors
lead to?
Simple Models - ACCURATE ANSWER✅✅Reducing variables will result in
Forbidden Factors - ACCURATE ANSWER✅✅Things that cannot be used due to
legal requirements
Exploration - ACCURATE ANSWER✅✅Gathering more data to develop a better
model
Exploitation - ACCURATE ANSWER✅✅Using data sooner to get less accurate,
but more immediate results
No factors - ACCURATE ANSWER✅✅Forward selection starts with what
look for p <= 0.15 or p <= 0.1 - ACCURATE ANSWER✅✅How do you find the
best factor in forward selection?
Coefficient is not 0 - ACCURATE ANSWER✅✅What does a low p value mean
, Coefficient is 0 - ACCURATE ANSWER✅✅What is the null hypothesis in a
feature test
All factors - ACCURATE ANSWER✅✅Backwards feature selection starts with
Scaling is not required - ACCURATE ANSWER✅✅What is a benefit of classical
feature selection
Stepwise regression - ACCURATE ANSWER✅✅A combination of forward and
backward feature selection
Greedy Algorithm - ACCURATE ANSWER✅✅Does the best thing without
taking into consideration any future events
Greedy - ACCURATE ANSWER✅✅Stepwise, Backward and Forward feature
selection are what kind of approach
Global - ACCURATE ANSWER✅✅Lasso, ElasticNet and Ridge are examples of
what kind of approach
Sum of the absolute value of the coefficients - ACCURATE ANSWER✅✅The tau
value in lasso make sure what doesn't get large
Yes - ACCURATE ANSWER✅✅Is scaling required to use lasso?
The sum of the squares of the coefficients - ACCURATE ANSWER✅✅Ridge
regression puts a constraint on what?
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