ISYE 6501 Exam Questions and Answers (Solved Papers) Classification problems are commonly solved using what model(s)? - Correct Answers ✅Support Vector Machine Clustering problems are commonly solved using what model(s)? - Correct Answers ✅k-means Response Prediction questions are commonly solved using what model(s)? - Correct Answers ✅-ARIMA -CART -Exponential smoothing -linear regression -logistic regression -Random Forest Validation questions are commonly solved using what model(s)? - Correct Answers ✅-Cross Validation Variance Estimation questions are commonly solved using what model(s)? - Correct Answers ✅-GARCH Examples of models that are designed for use with time series data - Correct Answers ✅-ARIMA
-CUSUM
-Exponential Smoothing 1 / 3
ISYE 6501 Exam Questions and Answers (Solved Papers)
-GARCH
In the soft classification SVM model where we select coefficients a_0 ... a_m to minimize sum(max(0, 1 - (sum(a_i * x_ij) + a_0 ) * y_j ) + C * sum(a_i ^ 2) ). If we want to have a larger margin even though it means possibly having more
classification error, the value of C should get: - Correct
Answers ✅Larger Best way to split data - Correct Answers ✅-70% for training -15% for validation -15% for test Purpose of a test set - Correct Answers ✅Estimate quality of selected model Purpose of a training set - Correct Answers ✅Fit parameters of all models Purpose of a validation set - Correct Answers ✅compare all models and select best
True or False: The most useful classification models are the
ones that correctly classify the highest fraction of data points.
- Correct Answers ✅False. 2 / 3
ISYE 6501 Exam Questions and Answers (Solved Papers)
Explanation: Sometimes the cost of a false positive is so high
that it's worth accepting more false negatives, or vice versa.Lesson 10.6 A model is built to determine whether data points belong to a
category or not. A "true negative" result is: - Correct
Answers ✅A data point that is not in the category, and the model correctly says so.
Explanation: True' and 'false' refer to whether the model is
correct or not, and 'positive' and 'negative' refer to whether the model says the point is in the category. Lesson 10.5 A logistic regression model can be especially useful when the response... - Correct Answers ✅is binary (zero or one) or is a probability (a number between zero and one). Lesson 10.4
True or False: When using a random forest model, it's easy to
interpret how its results are determined. - Correct Answers ✅False
Explanation: Unlike a model like regression where we can
show the result as a simple linear combination of each attribute times its regression coefficient, in a random forest model there are so many different trees used simultaneously
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