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ISYE 6501 Midterm 1 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

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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...

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ISYE 6501 Midterm EXAM QUESTIONS AND SOLUTIONS LATEST UPDATE 2023/2024

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ISYE 6501 Midterm EXAM QUESTIONS AND SOLUTIONS LATEST UPDATE 2023/2024 Factor Based Models 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 overfitting: when # of factors is close t...

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ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

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ISYE 6501 Midterm EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024 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 d...

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ISYE 6501 - Midterm 2

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ISYE 6501 - Midterm 2 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...

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ISYE 6501 – original set Mid term 2 A+ Pass Revised 2023//2024

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ISYE 6501 – original set Mid term 2 A+ Pass Revised 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...

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ISYE 6501 -Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024

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ISYE 6501 -Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024 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 ...

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ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024

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ISYE 6501 Exam 2 QUESTIONS WITH 100% VERIFIED SOLUTIONS LATEST UPDATE 2023/2024 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 sever...

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ISYE 6501 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

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ISYE 6501 EXAM QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024 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 d...

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Isye 6501 Final exam Revised 2023//2024

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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(|

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ISYE 6501 Spring '23 Exam 1 QUESTIONS WITH 100% SOLUTIONS LATEST UPDATE 2023/2024

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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 ...

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ISYE 6501 - Midterm 2 AND Isye 6501 MID Final exam1 2023/2024

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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...

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ISYE 6501 - Midterm 2 2023

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ISYE 6501 - Midterm 2 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 factor...

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