Lambda errors Study guides, Class notes & Summaries

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...

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...

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...

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. Backwards elimination 3. Stepwise regression greedy algorithms Backward elimination...

ISYE-6501 Midterm Exam QUESTIONS & CORRECT ANSWERS What is modeling? A real life situation expressed as math. What is a classification model? A model that puts things into categories. e.g. a loan applicant classification with a SVM splitting people into 2 buckets - yes and no. What is a data point? A 'row' of data essentially. It is not just one attribute (column) on a row of data. What is Quantitative Data numbers that have meaning What is Categorical Data Non-numeric informa...

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 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 minimiz...

Rows - CORRECT ANSWER-Data points are values in data tables Columns - CORRECT ANSWER-The 'answer' for each data point (response/outcome) Structured Data - CORRECT ANSWER-Quantitative, Categorical, Binary, Unrelated, Time Series Unstructured Data - CORRECT ANSWER-Text Support Vector Model - CORRECT ANSWER-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 ndimens...

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....

ISYE-6501 Midterm Exam QUESTIONS & CORRECT ANSWERS What is modeling? A real life situation expressed as math. What is a classification model? A model that puts things into categories. e.g. a loan applicant classification with a SVM splitting people into 2 buckets - yes and no. What is a data point? A 'row' of data essentially. It is not just one attribute (column) on a row of data. What is Quantitative Data numbers that have meaning What is Categorical Data Non-numeric informa...

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? 2 | P a g e : A point that holds up a sh...