ISYE 6501
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Latest content ISYE 6501
ISYE 6501 Midterm Questions And Answers What does SVM stand for? –
- Exam (elaborations)
- • 33 pages's •
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ISYE 6501•ISYE 6501
The file credit_card_ contains a dataset with 654 data points, 6 continuous and 4 binary predictor variables. It has anonymized credit card applications with a binary response variable (last column) indicating if the application was positive or negative. The dataset is the “Credit Approval Data Set” from the UCI Machine Learning Repository (
 
1.	Using the support vector machine function ksvm contained in the R package kernlab, find a good classifier for this data. Show the equation of your ...
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- • 9 pages's •
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ISYE 6501•ISYE 6501
ISYE 6501/ISYE6501 Midterm Quiz 1 with Correct Answers
- Exam (elaborations)
- • 27 pages's •
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ISYE 6501•ISYE 6501
ISYE 6501Midterm Quiz 1 with Correct Answers
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- • 25 pages's •
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ISYE 6501•ISYE 6501
ISYE-6501 Intro Analytics Modeling - Homework
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- • 14 pages's •
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ISYE-6501•ISYE-6501
ISYE 6501 Midterm 1
- Exam (elaborations)
- • 48 pages's •
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ISYE-6501•ISYE-6501
- Important to limit the number of factors in the model for 2 reasons: 
o Overfitting – When the number of factors is close to or larger than the number of data 
points the model might fit too closely to random effects 
o Simplicity – on aggregate simple models are better than complex ones. Using less factors 
means that less data is required and the is a smaller chance of including insignificant 
factors. Interpretability is also crucial. Some factors are even illegal to use such as race 
a...
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ISYE 6501•ISYE 6501
what do we do with a lot of factors in our models? 
variable selection helps us choose the best factors for our models 
variable selection can work for any factor based model - regression / classification 
why do we not want a lot of factors in our models? 
- overfitting: when the number of factors is close or larger than number of data points our model will 
overfit 
- overfitting: model captures the random effect of our data instead of the real effects 
too many factors is the same idea - we w...
- Exam (elaborations)
- • 28 pages's •
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ISYE 6501•ISYE 6501
ISYE 6501 WEEK 1 HOMEWORK – SAMPLE SOLUTIONS 
 
 
 
IMPORTANT NOTE 
 
These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to submit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, is to help you learn as much as you can, and develop your analytics skills as much as possible! 
 
 
 
 ...
- Exam (elaborations)
- • 9 pages's •
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ISYE 6501•ISYE 6501
ISYE 6501 WEEK 1 HOMEWORK – SAMPLE SOLUTIONS 
 
 
 
IMPORTANT NOTE 
 
These homework solutions show multiple approaches and some optional extensions for most of the questions in the assignment. You don’t need to submit all this in your assignments; they’re included here just to help you learn more – because remember, the main goal of the homework assignments, and of the entire course, is to help you learn as much as you can, and develop your analytics skills as much as possible! 
 
 
 
 ...
- Exam (elaborations)
- • 9 pages's •
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ISYE 6501•ISYE 6501
Midterm Quiz 2 - Verified MM Learners 
Midterm Quiz 2 due Apr 12, 2021 1500 HKT
- Exam (elaborations)
- • 28 pages's •
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ISYE 6501•ISYE 6501