ISYE 6501 Analytics Modeling Final Exa m | Verified Quiz Questions and An swers | 100 % Solved | 2026 Edition – GT

ISYE 6501 Analytics Modeling Final Exam
| Verified Quiz Questions and Answers |
100% Solved | 2026 Edition – GT.




Question 1

,What is the main difference between supervised and unsupervised learning?
A) Supervised learning requires labeled data; unsupervised does not
B) Unsupervised learning requires labeled data; supervised does not
C) Supervised learning always uses neural networks
D) Unsupervised learning always uses clustering

Correct Resolution Result Verified Answers : A




Question 2
Which of the following is a non-parametric method?
A) Linear regression
B) k-Nearest Neighbors (k-NN)
C) Logistic regression
D) ARIMA

Correct Resolution Result Verified Answers : B




Question 3
In k-fold cross-validation, what is the purpose of the validation fold?
A) To train the final model
B) To estimate out-of-sample performance during tuning
C) To increase the training set size
D) To select features

Correct Resolution Result Verified Answers : B




Question 4
Which of the following is most sensitive to outliers?
A) Median
B) k-NN with large k
C) Mean

,D) Mode

Correct Resolution Result Verified Answers : C




Question 5
In logistic regression, what does the link function map?
A) Input features to probabilities
B) Probabilities to linear predictors
C) Linear predictors to probabilities
D) Residuals to errors

Correct Resolution Result Verified Answers : C




Question 6
Principal Component Analysis (PCA) is primarily used for:
A) Classification
B) Dimensionality reduction
C) Time series forecasting
D) Hypothesis testing

Correct Resolution Result Verified Answers : B




Question 7
Which of the following is a strength of CART (decision trees)?
A) Always outperforms linear models
B) Highly interpretable
C) No risk of overfitting
D) Works only with continuous outcomes

Correct Resolution Result Verified Answers : B

, Question 8
In k-means clustering, the "elbow method" is used to:
A) Choose the number of clusters
B) Initialize cluster centers
C) Determine convergence
D) Scale the data

Correct Resolution Result Verified Answers : A




Question 9
Which time series model uses both autoregressive and moving average components?
A) AR
B) MA
C) ARMA
D) ETS

Correct Resolution Result Verified Answers : C




Question 10
What is the primary purpose of regularization (e.g., LASSO, ridge)? A)
Reduce training time
B) Reduce overfitting
C) Increase model complexity
D) Handle missing data

Correct Resolution Result Verified Answers : B

Question 11
Which of the following is an example of a support vector machine kernel?
A) Linear
B) Exponential smoothing
C) AIC