Overfitting in regression Study guides, Class notes & Summaries
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ISYE 6501 - Midterm 2 Exam 2024
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ISYE 6501 - Midterm 2 Exam 2024 
when might overfitting occur - answerwhen the # of factors is close to or larger 
than the # of data points causing the model to potentially fit too closely to random 
effects 
Why are simple models better than complex ones - answerless data is required; 
less chance of insignificant factors and easier to interpret 
what is forward selection - answerwe select the best new factor and see if it's 
good enough (R^2, AIC, or p-value) add it to our model and fit the ...
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ISYE 6501 - Midterm 1 2024 with complete verified solutions.
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What do descriptive questions ask? 
What happened? (e.g., which customers are most alike) 
 
 
What do predictive questions ask? 
What will happen? (e.g., what will Google's stock price be?) 
 
 
 
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What do prescriptive questions ask? 
What action(s) would be best? (e.g., where to put traffic lights) 
 
 
What is a model? 
Real-life situation expressed as math. 
 
 
What do classifiers help you do? 
differentiate 
 
 
What is a soft classifier and when is it...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE Support Vector Machine(SVM) is a supervised machine learnin
- Exam (elaborations) • 7 pages • 2023
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ISYE 6501 Midterm 1 
QUESTIONS CORRECTLY 
ANSWERED LATEST UPDATE 
Support Vector Machine(SVM) is a supervised machine learning 
algorithm used for? - ANSWER Classification 
How to split the data if we only have one model? - ANSWER 
70% training data, 30% testing data 
How to split the data if we want to compare models? - ANSWER 
70% training, 15% validation and 15% testing 
When do we need to do scaling in data? - ANSWER When our 
factors/attributes/dimensions are orders of magnitude differe...
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ISYE 6501 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 5 pages • 2023
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ISYE 6501 EXAM 
QUESTIONS WITH 
100% SOLUTIONS 
LATEST UPDATE 
2023/2024 
Support Vector Machine(SVM) is a supervised machine learning algorithm used for? - 
ANSWER Classification 
How to split the data if we only have one model? - ANSWER 70% training data, 30% 
testing data 
How to split the data if we want to compare models? - ANSWER 70% training, 15% 
validation and 15% testing 
When do we need to do scaling in data? - ANSWER When our 
factors/attributes/dimensions are orders of magnit...
-
ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 6 pages • 2023
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ISYE 6501 Midterm 1 EXAM 
QUESTIONS WITH 100% 
SOLUTIONS LATEST UPDATE 
2023/2024 
True or false: In a regression tree, every leaf of the tree has a different regression 
model that might use different attributes, have different coefficients, etc. - ANSWER 
True 
- Each leaf's individual model is tailored to the subset of data points that follow all of the 
branches leading to the leaf. 
True or false: Tree-based approaches can be used for other models besides regression. 
- ANSWER True ...
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ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024
- Exam (elaborations) • 8 pages • 2023
- Available in package deal
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ISYE 6501 Midterm 1 EXAM 
QUESTIONS WITH VERIFIED 
SOLUTIONS 100% LATEST 
UPDATE 2023/2024 
True or false: In a regression tree, every leaf of the tree has a 
different regression model that might use different attributes, have 
different coefficients, etc. - ANSWER True 
- Each leaf's individual model is tailored to the subset of data 
points that follow all of the branches leading to the leaf. 
True or false: Tree-based approaches can be used for other 
models besides regression. - ANSW...
-
ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024
- Exam (elaborations) • 8 pages • 2023
- Available in package deal
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- $12.99
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ISYE 6501 Midterm 1 EXAM 
QUESTIONS WITH VERIFIED 
SOLUTIONS 100% LATEST 
UPDATE 2023/2024 
True or false: In a regression tree, every leaf of the tree has a 
different regression model that might use different attributes, have 
different coefficients, etc. - ANSWER True 
- Each leaf's individual model is tailored to the subset of data 
points that follow all of the branches leading to the leaf. 
True or false: Tree-based approaches can be used for other 
models besides regression. - ANSW...
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ISYE 6501 Final exam questions and answers
- Exam (elaborations) • 14 pages • 2024
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Factor Based Models 
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 
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 
 
 
 
 
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OMSA MIDTERM 2 2023 QUESTIONS AND ANSWERS ALREADY PASSED A+
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Overfitting - CORRECT ANS Number of factors is too close to or larger than number of data points -- fitting to both real effects and random effects. Comes from including too many variables! 
Ways to avoid overfitting - CORRECT ANS - Need number of factors to be same order of magnitude as the number of points 
- Need enough factors to get good fit from real effects and random effects 
Simplicity - CORRECT ANS Simple models are better than complex. When fewer factors exist, less dat...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE
- Exam (elaborations) • 7 pages • 2023
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ISYE 6501 Midterm 1 
QUESTIONS CORRECTLY 
ANSWERED LATEST UPDATE 
Support Vector Machine(SVM) is a supervised machine learning 
algorithm used for? - ANSWER Classification 
How to split the data if we only have one model? - ANSWER 
70% training data, 30% testing data 
How to split the data if we want to compare models? - ANSWER 
70% training, 15% validation and 15% testing 
When do we need to do scaling in data? - ANSWER When our 
factors/attributes/dimensions are orders of magnitude differe...