Isye 6501 midterm exam Study guides, Class notes & Summaries

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 is tailored to the subset of data points that follow all of the branches leading to the leaf. True or false: Tree-based approaches can be used for other models besides regression. - ANSWER True ...

ISYE 6501 - Midterm 1 Exam – Questions And Answers

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 ...

What do descriptive questions ask? - ANSWERSWhat happened? (e.g., which customers are most alike) What do predictive questions ask? - ANSWERSWhat will happen? (e.g., what will Google's stock price be?) What do prescriptive questions ask? - ANSWERSWhat action(s) would be best? (e.g., where to put traffic lights) What is a model? - ANSWERSReal-life situation expressed as math. What do classifiers help you do? - ANSWERSdifferentiate What is a soft classifier and when is it used? - A...

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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)

ISYE 6501 Midterm Exam 1 Questions and 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 error?, - ANSWER Minimizing errors.

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