When is knn used Study guides, Class notes & Summaries
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ISYE 6501 - Midterm 1 ALL SOLUTION & ANSWERS 100% CORRECT SPRING FALL-2023/24 EDITION GUARANTEED GRADE A+
- Exam (elaborations) • 22 pages • 2023
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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?) 
 
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 used? 
 
In some cases, ther...
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ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% LATEST UPDATE 2023/2024
- Exam (elaborations) • 8 pages • 2023
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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 Spring '23 Exam 1 QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 6 pages • 2023
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ISYE 6501 Spring 
'23 Exam 1 
QUESTIONS WITH 
100% SOLUTIONS 
LATEST UPDATE 
2023/2024 
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) - ANSWE...
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ISYE 6501 MIDTERM 1 FINAL PRACTICE TEST
- Exam (elaborations) • 6 pages • 2024
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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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ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024
- Exam (elaborations) • 6 pages • 2023
- Available in package deal
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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 ...
And that's how you make extra money
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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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- $10.49
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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 ACTUAL EXAM (UPDATED QUESTIONS AND ANSWERS)
- Exam (elaborations) • 33 pages • 2024
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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...
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ISYE 6501 Midterm 1 QUESTIONS CORRECTLY ANSWERED LATEST UPDATE
- Exam (elaborations) • 7 pages • 2024
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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 - Midterm 1 Questions and Answers 2023
- Exam (elaborations) • 19 pages • 2023
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Available in package deal
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ISYE 6501 - Midterm 1 Questions and Answers 2023 
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?) 
 
 
 
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 class...
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Machine Learning - supervised machine learning exam questions and answers
- Exam (elaborations) • 3 pages • 2024
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What is supervised learning? 
A type of machine learning which is used when we want to predict a certain output from a given input and have examples of input/out pairs. The training set we feed into the algorithm includes the desired solutions (labels). 
 
labelled data: each instance comes with the expected output 
 
 
 
What are the two types of supervised machine learning? 
(1) classification 
- binary classification: 2 classes 
- multiclass classification: classification between more than 2 ...
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