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ISYE 6501 MIDTERM 1 COMPLETE EXAM WITH UPGRADED QUESTIONS AND ANSWERS
ISYE 6501 MIDTERM 1 COMPLETE 
EXAM WITH UPGRADED QUESTIONS 
AND ANSWERS 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What...
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- Exam (elaborations)
- • 20 pages •
ISYE 6501 MIDTERM 1 COMPLETE 
EXAM WITH UPGRADED QUESTIONS 
AND ANSWERS 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What...
ISYE 6501 MIDTERM 1 FINAL PRACTICE TEST
ISYE 6501 MIDTERM 1 FINAL PRACTICE 
TEST 
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. - CORRECT 
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. 
- CORRECT ANSWER-True 
- For example, a classific...
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- Exam (elaborations)
- • 6 pages •
ISYE 6501 MIDTERM 1 FINAL PRACTICE 
TEST 
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. - CORRECT 
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. 
- CORRECT ANSWER-True 
- For example, a classific...
ISYE 6501 MIDTERM EXAM GRADED A+ LATEST
ISYE 6501 MIDTERM EXAM GRADED A+ 
LATEST 
What does SVM stand for? -CORRECT ANSWER-Support Vector Machine 
Is written text structured or unstructured? -CORRECT ANSWER-Unstructured 
When we increase the sum of the square of the coefficients we... -CORRECT 
ANSWER-Decrease the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - 
CORRECT ANSWER-margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training e...
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- Exam (elaborations)
- • 22 pages •
ISYE 6501 MIDTERM EXAM GRADED A+ 
LATEST 
What does SVM stand for? -CORRECT ANSWER-Support Vector Machine 
Is written text structured or unstructured? -CORRECT ANSWER-Unstructured 
When we increase the sum of the square of the coefficients we... -CORRECT 
ANSWER-Decrease the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - 
CORRECT ANSWER-margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training e...
QUESTIONS AND ANSWERS FOR ISYE 6501 FINAL
QUESTIONS AND ANSWERS FOR ISYE 
6501 FINAL 
Support Vector Machine - CORRECT ANSWER-A supervised learning, classification 
model. Uses extremes, or identified points in the data from which margin vectors are 
placed against. The hyperplane between these vectors is the classifier 
SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of 
separation 
It is effective in high dimensional spaces. 
It is effective in cases where the number of dimensions is greater than the ...
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- Exam (elaborations)
- • 8 pages •
QUESTIONS AND ANSWERS FOR ISYE 
6501 FINAL 
Support Vector Machine - CORRECT ANSWER-A supervised learning, classification 
model. Uses extremes, or identified points in the data from which margin vectors are 
placed against. The hyperplane between these vectors is the classifier 
SVM Pros/Cons - CORRECT ANSWER-Pros: It works really well with a clear margin of 
separation 
It is effective in high dimensional spaces. 
It is effective in cases where the number of dimensions is greater than the ...
ISYE 6501 FINAL ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS)
ISYE 6501 FINAL ACTUAL EXAM 
(UPDATED QUESTIONS AND ANSWERS) 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifie...
- Package deal
- Exam (elaborations)
- • 33 pages •
ISYE 6501 FINAL ACTUAL EXAM 
(UPDATED QUESTIONS AND ANSWERS) 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifie...
ISYE 6501 MIDTERM 1 EXAM WITH COMPLETE SOLUTION
ISYE 6501 MIDTERM 1 EXAM WITH 
COMPLETE SOLUTION 
Rows - CORRECT ANSWER-Data points are values in data tables 
Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) 
Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, 
Time Series 
Unstructured Data - CORRECT ANSWER-Text 
Support Vector Model - CORRECT ANSWER-Supervised machine learning algorithm 
used for both classification and regression challenges. 
Mostly used in classification problem...
- Package deal
- Exam (elaborations)
- • 11 pages •
ISYE 6501 MIDTERM 1 EXAM WITH 
COMPLETE SOLUTION 
Rows - CORRECT ANSWER-Data points are values in data tables 
Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) 
Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, 
Time Series 
Unstructured Data - CORRECT ANSWER-Text 
Support Vector Model - CORRECT ANSWER-Supervised machine learning algorithm 
used for both classification and regression challenges. 
Mostly used in classification problem...
ISYE 6501 FINAL EXAM (PRACTICE QUESTIONS AND ANSWERS)
ISYE 6501 FINAL EXAM (PRACTICE 
QUESTIONS AND ANSWERS) 
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(|
- Package deal
- Exam (elaborations)
- • 25 pages •
ISYE 6501 FINAL EXAM (PRACTICE 
QUESTIONS AND ANSWERS) 
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 MIDTERM 1 VERIFIED EXAM TEST
ISYE 6501 MIDTERM 1 VERIFIED EXAM 
TEST 
Matching models/methods to categories - CORRECT ANSWER-(cusum and pca = 
NONE) 
Select all of the following models that are designed for use with attribute/feature data 
(i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, 
logistic regression, linear regression, random forest, SVM's 
Classification models - CORRECT ANSWER-CART, k-nearest-neighbor, logistic 
regression, random forest, support vector machine 
Clustering - ...
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- Exam (elaborations)
- • 2 pages •
ISYE 6501 MIDTERM 1 VERIFIED EXAM 
TEST 
Matching models/methods to categories - CORRECT ANSWER-(cusum and pca = 
NONE) 
Select all of the following models that are designed for use with attribute/feature data 
(i.e., not time-series data): - CORRECT ANSWER-k-nearest-neighbor, PCA, k-means, 
logistic regression, linear regression, random forest, SVM's 
Classification models - CORRECT ANSWER-CART, k-nearest-neighbor, logistic 
regression, random forest, support vector machine 
Clustering - ...
ISYE 6501 Final PRACTICE EXAM (QUESIONS AND ANSWERS)
ISYE 6501 Final PRACTICE EXAM 
(QUESIONS AND ANSWERS) 
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....
- Package deal
- Exam (elaborations)
- • 11 pages •
ISYE 6501 Final PRACTICE EXAM 
(QUESIONS AND ANSWERS) 
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....
ISYE 6501 MIDTERM 1 EXAM TEST
ISYE 6501 MIDTERM 1 EXAM TEST 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifiers help you do? - CORRECT ANSWE...
- Package deal
- Exam (elaborations)
- • 20 pages •
ISYE 6501 MIDTERM 1 EXAM TEST 
What do descriptive questions ask? - CORRECT ANSWER-What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - CORRECT ANSWER-What will happen? (e.g., 
what will Google's stock price be?) 
What do prescriptive questions ask? - CORRECT ANSWER-What action(s) would be 
best? (e.g., where to put traffic lights) 
What is a model? - CORRECT ANSWER-Real-life situation expressed as math. 
What do classifiers help you do? - CORRECT ANSWE...
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