Akaike - Samenvattingen, Aantekeningen en Examens

I have summarized the contents of the knowledge clips, feedback lecture and lecture notes of module 7. This document will help you prepare for the exam. Good luck!

I have summarized the contents of the knowledge clips, lecture notes and feedback lecture of module 8. This document will help you prepare for the exam. Good luck!

Data point - Observation/record of (perhaps multiple) measurements for a single member of a population or data set. In the standard tabular format, a row of data. Bayesian Information criterion (BIC) - Model selection technique that trades off model fit and model complexity. When comparing models, the model with lower BIC is preferred. Generally penalizes complexity more than AIC. 1-norm (rectilinear distance, Manhattan distance) - Think of distances in blocks E (|xi - yi|) 2-norm (euclide...

What are three problems that variable selection tries to minimize? correct answers high dimensionality, multicollinearity, prediction vs explanatory high dimensionality correct answers In linear regression, when the number of predicting variables P is large, we might get better predictions by omitting some of the predicting variables. Models with many predictors have... correct answers low bias, high variance Models with few predictors have... correct answers high bias but low variance ...

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....

1. All regularized regression approaches can be used for variable selection. - False 2. Penalization in linear regression models means penalizing for complex models, that is, models with a large number of predictors. - True 3. Elastic net regression uses both penalties of the ridge and lasso regression and hence combines the benefits of both. - True 4. Variable selection can be applied to regression problems when the number of pre- dicting variables is larger than the number of observation...

ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% 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. - ANSW...

ISYE 6414 Final Exam Questions and Answers Already Graded A 1. If there are variables that need to be used to control the bias selection in the model, they should forced to be in the model and not being part of the variable selection process. True 2. Penalization in linear regression models means penalizing for complex models, that is, models with a large number of predictors. True 3. Elastic net regression uses both penalties of the ridge and lasso regression and hence combines the benefits ...

ISYE 6501 Midterm 1 EXAM QUESTIONS WITH VERIFIED SOLUTIONS 100% 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. - ANSW...

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 ...