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Exam (elaborations)

ISYE 6501 Final Questions and Answers.

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ISYE 6501 Final Questions and Answers.

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  • October 14, 2024
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  • 2024/2025
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  • Questions & answers
  • ISYE 6501x
  • ISYE 6501x
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ISYE 6501 Final Questions
and Answers


Denning [Date] [Course title]

, Factor Based Models - Correct Answers:s :classification, clustering, regression. Implicitly assumed that
we have a lot of factors in the final model



Why limit number of factors in a model? 2 reasons - Correct Answers:s :overfitting: when # of factors is
close to or larger than # of data points. Model may fit too closely to random effects

simplicity: simple models are usually better



Classical variable selection approaches - Correct Answers:s :1. Forward selection

2. Backwards elimination

3. Stepwise regression

greedy algorithms



Backward elimination - Correct Answers:s :variable selection; classical

Opposite of forward selection. Start with model with all factors, at each step find worst factor and
remove from model. Continue until no more to add, # of factor threshold is satisfied. Remove factors at
the end that were not good enough



Forward selection - Correct Answers:s :variable selection; classical

Start with model with no factors, at each step find best new factor to add. Continue until none bad
enough to remove, # of factor threshold is satisfied. Remove factors at the end that were not good
enough



Stepwise regression - Correct Answers:s :variable selection; classical

Combination of forward selection and backwards elimination. Start with all or no factors. Each step
remove/add a factor. As it continues, after adding in new factor we eliminate right away any factors that
may be good. Helps model adjust when new factors are added, goodness values change



Ways of determining if factors are good enough in variable selection - Correct Answers:s :p-value,
Rsquared, AIC, BIC



Greedy algorithm - Correct Answers:s :At each step, it does the one thing that looks best

without taking future options into consideration. Good for initial analysis

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