Isye 6501 final exam 1 - Study guides, Class notes & Summaries

ISYE 6501 Final PRACTICE EXAM (QUESIONS AND ANSWERS) Factor Based Models - CORRECT ANSWER-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 - CORRECT ANSWER-overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better Classical variable selection approaches - CORRECT ANSWER-1....

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 to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better Classical variable selection approaches 1. Forward selection 2. Backwa...

ISYE 6501 FINAL QUIZ 1 GT STUDENTS & VERIFIED EXAM SOLUTION , Georgia Institute Of Technology

Isye 6501 Final exam with complete solution 1. 1-norm: 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(|5g1|+|5g2|+ï+|5g5Z| = |5m£g1o|+v|e5rgi2=|1+ï|+5|g55gV| |= 2. A/B Testing: testing two alternatives to see which one performs better 3. 2-norm: Similar to Euclidian distance; measures the straight-line length of a vector from the origin. If z=(z1,z2,...

ISYE 6501 FINAL EXAM WITH COMPLETE SOLUTION 2022/2023 1. Factor Based Models: classification, clustering, regression. Implicitly assumed that we have a lot of factors in the final model 2. Why limit number of factors in a model? 2 reasons: overfitting: when # of factors is close to or larger than # of data points. Model may fit too closely to random effects simplicity: simple models are usually better 3. Classical variable selection approaches: 1. Forward selection 2. Backwards eli...

Isye 6501 Final exam with complete solution 2023 1. 1-norm: 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(|5g1|+|5g2|+ï+|5g5Z| = |5m£g1o|+v|e5rgi2=|1+ï|+5|g55gV| |= 2. A/B Testing: testing two alternatives to see which one performs better 3. 2-norm: Similar to Euclidian distance; measures the straight-line length of a vector from the origin. If z=(z...

ISYE 6501 FINAL EXAM QUESTIONS WITH ALL CORRECT ANSWERS 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 erro...