Isye 6501 midterm - Study guides, Revision notes & Summaries
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ISYE 6501 Midterm 1 (2023/2024) Already Graded A
- Exam (elaborations) • 24 pages • 2023
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ISYE 6501 Midterm 1 (2023/2024) Already Graded A Rows Data points are values in data tables 
Columns The 'answer' for each data point (response/outcome) 
Structured Data Quantitative, Categorical, Binary, Unrelated, Time Series 
Unstructured Data Text 
Support Vector Model Supervised machine learning algorithm used for both classification and regression challenges. Mostly used in classification problems by plotting each data item as a point in n-dimensional space (n is the number of features y...
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ISYE 6501 Midterm Questions and Answers Already Graded A
- Exam (elaborations) • 47 pages • 2023
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ISYE 6501 Midterm Questions and Answers Already Graded A What does SVM stand for? Support Vector Machine 
Is written text structured or unstructured? Unstructured 
When we increase the sum of the square of the coefficients we... Decrease the distance between the lines 
In SVM soft classifier we tradeoff between maximizing ___ and minimizing ___ margin and errors 
If lambda gets small what gets emphasized, large margin or minimizing training error?, Minimizing errors. 
What is a support vector? A...
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2023 ISYE 6501 Midterm 1 A+ Already Graded
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2023 ISYE 6501 Midterm 1 A+ Already Graded
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ISYE 6501 Midterm Questions with 100% correct answers | verified | latest update 2024
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ISYE 6501 Midterm Questions with 100% correct answers | verified | latest update 2024
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ISYE 6501 Midterm Questions with 100% correct answers | verified | latest update 2024
- Exam (elaborations) • 24 pages • 2024
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ISYE 6501 Midterm Questions with 100% correct answers | verified | latest update 2024
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ISYE 6501 Midterm 2 Intro Analytics Modeling Exam New Latest
- Exam (elaborations) • 38 pages • 2023
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ISYE 6501 Midterm 2 Intro Analytics Modeling Exam 
New Latest Version Updated with All 
Questions from Actual Past Exam 
nursing (Chamberlain University)
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ISYE 6501 MIDTERM 1 EXAM TEST
- Exam (elaborations) • 20 pages • 2024
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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 ANSWER-differentiate 
What is a soft...
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ISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEW
- Exam (elaborations) • 23 pages • 2024
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ISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM QUESTIONS WITH ANSWERS VERIFIED BY EXPERTS 2024 NEWISYE 6501 MIDTERM...
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ISYE 6501 Midterm exam 2023/2024 with 100% correct answers
- Exam (elaborations) • 29 pages • 2023
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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 error?, - correct answer M...
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ISYE 6501 - Midterm 2 AND Isye 6501 MID Final exam1 2023/2024
- Exam (elaborations) • 53 pages • 2023
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ISYE 6501 - Midterm 
2 AND 
Isye 6501 MID Final 
exam1 2023/2024 
when might overfitting occur 
when the # of factors is close to or larger than the # of data 
points causing the model to potentially fit too closely to 
random effects 
Why are simple models better than complex ones 
less data is required; less chance of insignificant factors and 
easier to interpret 
what is forward selection 
we select the best new factor and see if it's good enough (R^2, 
AIC, or p-value) add it to our ...
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