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ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024
- Exam (elaborations) • 8 pages • 2024
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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 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024
- Exam (elaborations) • 8 pages • 2024
- Available in package deal
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- $13.99
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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...
-
ISYE 6501 - Final Prep – Midterm Questions With Correct Answers
- Exam (elaborations) • 3 pages • 2024
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ISYE 6501 - Final Prep – 
Midterm Questions With 
Correct Answers 
Types of classification models 
KNN 
SVM 
Types of Clustering Models 
K-Means Clustering 
Types of Response Prediction Models 
ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method 
Cross Validation 
Types of Variation Estimate Models 
GARCH 
Models that use Time Series Data 
ARIMA 
CUSUM 
GARCH 
Exponential Smoothing 
Do models tend to perform better or worse on ...
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ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed
- Exam (elaborations) • 2 pages • 2024
-
- $4.99
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Types of classification models Correct Answer-KNN 
SVM 
Types of Clustering Models Correct Answer-K-Means Clustering 
Types of Response Prediction Models Correct Answer-ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method Correct Answer-Cross Validation 
Types of Variation Estimate Models Correct Answer-GARCH 
Models that use Time Series Data Correct Answer-ARIMA 
CUSUM 
GARCH 
Exponential Smoothing 
Do models tend to perform bette...
-
ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed
- Exam (elaborations) • 2 pages • 2024
-
- $3.49
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Types of classification models Correct Answer-KNN 
SVM 
Types of Clustering Models Correct Answer-K-Means Clustering 
Types of Response Prediction Models Correct Answer-ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method Correct Answer-Cross Validation 
Types of Variation Estimate Models Correct Answer-GARCH 
Models that use Time Series Data Correct Answer-ARIMA 
CUSUM 
GARCH 
Exponential Smoothing 
Do models tend to perform bette...
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Isye 6501 Final Exam Latest 2021 Already Passed
- Exam (elaborations) • 32 pages • 2024
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- $12.99
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1-norm Correct Answer-Similar to rectilinear distance; measures the straight-line length of a vector from 
the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square 
root(|
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Isye 6501 Final Exam Latest 2021 Already Passed
- Exam (elaborations) • 32 pages • 2024
-
- $13.49
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1-norm Correct Answer-Similar to rectilinear distance; measures the straight-line length of a vector from 
the origin. If z=(z1,z2,...,zm) is a vector in an m-dimensional space, then it's 1-norm is square 
root(|
-
ISYE 6501 Final Questions and Answers Latest Update
- Exam (elaborations) • 14 pages • 2024
-
- $10.49
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Factor Based Models Correct Answer-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 Answer-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 Answer-1. Forward selection 
2. Backwards elimination 
3. Stepwise regress...
-
ISYE 6501 Final Questions and Answers Latest Update
- Exam (elaborations) • 14 pages • 2024
-
- $11.49
- + learn more
Factor Based Models Correct Answer-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 Answer-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 Answer-1. Forward selection 
2. Backwards elimination 
3. Stepwise regress...
-
ISYE 6501 - Final Prep - Midterm 1 and 2 Review Latest Update Already Passed
- Exam (elaborations) • 2 pages • 2024
-
- $4.99
- + learn more
Types of classification models Correct Answer-KNN 
SVM 
Types of Clustering Models Correct Answer-K-Means Clustering 
Types of Response Prediction Models Correct Answer-ARIMA 
CART 
Exponential Smoothing 
Linear Regression 
Logistic Regression 
Random Forest 
Types of Validation Method Correct Answer-Cross Validation 
Types of Variation Estimate Models Correct Answer-GARCH 
Models that use Time Series Data Correct Answer-ARIMA 
CUSUM 
GARCH 
Exponential Smoothing
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