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UPDATED ISYE6501 Final EXAM QUESTIONS AND ANSWERS 2022-2024/ISYE 6501 FINAL EXAM LATEST UPDATE 2024
What do descriptive questions ask? - ANSWER-- What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - ANSWER-- What will happen? 
(e.g., what will Google's stock price be?) 
What do prescriptive questions ask? - ANSWER-- What action(s) would 
be best? (e.g., where to put traffic lights) 
What is a model? - ANSWER-- Real-life situation expressed as math. 
What do classifiers help you do? - ANSWER-- differentiate 
What is a soft classifier and when is it used? ...
- Tentamen (uitwerkingen)
- • 47 pagina's •
What do descriptive questions ask? - ANSWER-- What happened? (e.g., 
which customers are most alike) 
What do predictive questions ask? - ANSWER-- What will happen? 
(e.g., what will Google's stock price be?) 
What do prescriptive questions ask? - ANSWER-- What action(s) would 
be best? (e.g., where to put traffic lights) 
What is a model? - ANSWER-- Real-life situation expressed as math. 
What do classifiers help you do? - ANSWER-- differentiate 
What is a soft classifier and when is it used? ...
LATEST ISYE 6501 Spring '23 Exam 1 QUESTIONS WITH 100% SOLUTIONS 2024
What is modeling? - ANSWER Describing a real-life situation mathematically, analyzing 
the math and then turning the math back into a real-life situation. 
What is a data point? - ANSWER A row of data. All of the information about one 
observation. 
What are some (4) names for columns of data? - ANSWER Attributes, features, 
covariates, predictors 
Name some common types of structured data (5) - ANSWER Quantitative, categorical, 
binary, unrelated, time series 
What is binary data? - ANSWER A su...
- Tentamen (uitwerkingen)
- • 6 pagina's •
What is modeling? - ANSWER Describing a real-life situation mathematically, analyzing 
the math and then turning the math back into a real-life situation. 
What is a data point? - ANSWER A row of data. All of the information about one 
observation. 
What are some (4) names for columns of data? - ANSWER Attributes, features, 
covariates, predictors 
Name some common types of structured data (5) - ANSWER Quantitative, categorical, 
binary, unrelated, time series 
What is binary data? - ANSWER A su...
2024 ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS
What does SVM stand for? - ANSWER Support Vector Machine 
Is written text structured or unstructured? - ANSWER Unstructured 
When we increase the sum of the square of the coefficients we... - ANSWER Decrease 
the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - 
ANSWER margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training error?, - 
ANSWER Minimizing errors. 
What is a support vector? - ANSWER A...
- Tentamen (uitwerkingen)
- • 22 pagina's •
What does SVM stand for? - ANSWER Support Vector Machine 
Is written text structured or unstructured? - ANSWER Unstructured 
When we increase the sum of the square of the coefficients we... - ANSWER Decrease 
the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ - 
ANSWER margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training error?, - 
ANSWER Minimizing errors. 
What is a support vector? - ANSWER A...
UPDATED ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST 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 
- For example, a classification tree might have a different SVM or KNN model at each 
lea...
- Tentamen (uitwerkingen)
- • 6 pagina's •
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 
- For example, a classification tree might have a different SVM or KNN model at each 
lea...
UPDATED Isye 6501 Final exam Revised 2023//2024
1-norm - 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(|
- Tentamen (uitwerkingen)
- • 25 pagina's •
1-norm - 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 EXAM QUESTIONS WITH 100% SOLUTIONS 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 magnitude different such as income vs. 
credit score (income is much much larger) 
Whic...
- Tentamen (uitwerkingen)
- • 5 pagina's •
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 different such as income vs. 
credit score (income is much much larger) 
Whic...
LATEST ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2024
What are some of the consequences of outliers in k-means? - ANSWER It will drag the 
cluster center artificially to one side 
Because k-means is a heuristic and thus fast what can we do? - ANSWER run it 
several times choosing different clusters centers and choose the best one and we can 
choose different values of k 
How does bias/variance change as k changes in KNN? - ANSWER the higher the k, 
the higher the bias; 
the lower the k, the higher the variance. 
when k = 1, that is the most complex...
- Tentamen (uitwerkingen)
- • 3 pagina's •
What are some of the consequences of outliers in k-means? - ANSWER It will drag the 
cluster center artificially to one side 
Because k-means is a heuristic and thus fast what can we do? - ANSWER run it 
several times choosing different clusters centers and choose the best one and we can 
choose different values of k 
How does bias/variance change as k changes in KNN? - ANSWER the higher the k, 
the higher the bias; 
the lower the k, the higher the variance. 
when k = 1, that is the most complex...
LATEST ISYE 6501 -Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2024
Building simpler models with fewer factors helps avoid which problems? 
A. Overfitting 
B. Low prediction quality 
C. Bias in the most important factors 
D. Difficulty in interpretation - ANSWER A. Overfitting 
D. Difficulty of interpretation 
Two main reasons to limit # of factors in a model. - ANSWER 1. Overfitting 
2. Simplicity 
When is overfitting likely to happen? - ANSWER When the number of factors is close to 
the number of data points. 
How does using a # of factors that is close to the...
- Tentamen (uitwerkingen)
- • 9 pagina's •
Building simpler models with fewer factors helps avoid which problems? 
A. Overfitting 
B. Low prediction quality 
C. Bias in the most important factors 
D. Difficulty in interpretation - ANSWER A. Overfitting 
D. Difficulty of interpretation 
Two main reasons to limit # of factors in a model. - ANSWER 1. Overfitting 
2. Simplicity 
When is overfitting likely to happen? - ANSWER When the number of factors is close to 
the number of data points. 
How does using a # of factors that is close to the...
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270+ PRACTICE QUESTIONS AZ-104 RENEWAL EXAM AND 100% CORRECT ANSWERS 2023-2024(A+ GUARANTEE)