ISYE 6501 Bundled Exams Questions and Answers (2023/2024) (Complete and Accurate)

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 learn...

ISYE 6501 - Midterm 2 Questions and Answers 100% Correct 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 ...

ISYE 6501 Final Exam Questions and Answers 100% Pass 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...

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 trad...

ISyE 555 Exam 1 Questions and Answers Already Passed What are the two different approaches to safety and how do they differ? - Proactive approach: proactive risk assessment, safety audit, near miss reporting systems - Reactive approaches: accident and incident investigation What are the goals of an...

ISYE 6501 Final Questions and Answers Already Passed Support Vector Machine A supervised learning, classification model. Uses extremes, or identified points in the data from which margin vectors are placed against. The hyperplane between these vectors is the classifier SVM Pros/Cons Pros: It works ...

ISyE 6501 Final Exam Latest 2023 Rated A 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(|

ISYE6501: MIDTERM 1 LATEST 2023 RATED A Matching models/methods to categories (cusum and pca = NONE) Select all of the following models that are designed for use with attribute/feature data (i.e., not time-series data): k-nearest-neighbor, PCA, k-means, logistic regression, linear regression, rand...

ISYE 6501 Midterm 2 Part 1 Latest 2023 Rated A greedy algorithm at each step, the algorithm does the thing that looks best without taking future options into consideration; more classical variable selection methods stepwise - (forward, backward, combination) lasso elastic net available metrics for...