Isye 6501 Quiz 2 Expected Questions With Verified Answers

ISYE 6501 QUIZ 2 EXPECTED
QUESTIONS WITH VERIFIED ANSWERS

Question 1.
If you have less data than features, what is likely to occur?
ANSWER
Overfitting


Question 2.
What can too many factors lead to?

ANSWER
Fitting random effects


Question 3.
Reducing variables will result in
ANSWER
Simple Models


Question 4.
Things that cannot be used due to legal requirements

ANSWER
Forbidden Factors


Question 5.
Gathering more data to develop a better model
ANSWER
Exploration






,Question 6.
Using data sooner to get less accurate, but more immediate results
ANSWER
Exploitation


Question 7.
Forward selection starts with what

ANSWER
No factors


Question 8.
How do you find the best factor in forward selection?
ANSWER
look for p <= 0.15 or p <= 0.1


Question 9.
What does a low p value mean

ANSWER
Coefficient is not 0


Question 10.
What is the null hypothesis in a feature test
ANSWER
Coefficient is 0


Question 11.
Backwards feature selection starts with

ANSWER
All factors






, Question 12.
What is a benefit of classical feature selection
ANSWER
Scaling is not required


Question 13.
A combination of forward and backward feature selection

ANSWER
Stepwise regression


Question 14.
Does the best thing without taking into consideration any future events
ANSWER
Greedy Algorithm


Question 15.
Stepwise, Backward and Forward feature selection are what kind of approach

ANSWER
Greedy


Question 16.
Lasso, ElasticNet and Ridge are examples of what kind of approach
ANSWER
Global


Question 17.
The tau value in lasso make sure what doesn't get large

ANSWER
Sum of the absolute value of the coefficients