Isye 6501 mi - Study guides, Class notes & Summaries

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...

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...

ISYE 6501 Midterm Exam 1 Questions and Correct Answers

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...

ISYE 6501 Midterm Quiz 2 - GT Students and Verified MM Learners 2024 With Complete Solution Midterm Quiz 2 - GT Students and Verified MM Learners

Does a SVM classifier need to be a straight line? - No, SVM can be generalized using kernel methods that allow for nonlinear classifiers. Software has a kernel SVM function that you can use to solve for both linear and nonlinear classifiers Should you scale your data in a SVM model? - Yes, so the orders of magnitude are approximately the same. Data must be in bounded range. Common scaling: data between 0 and 1 a. Scale factor by factor b. Linearly What if it's not possible to separate ...

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-Minimizing errors....

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...

ISYE 6501 Midterm UPDATED ACTUAL Questions and CORRECT Answers 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 ANSWERDecrease the distance between the lines