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 answer: 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 answer: 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 answer: 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 answer: 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 answer: C
Question 6
Principal Component Analysis (PCA) is primarily used for:
A) Classification
B) Dimensionality reduction
C) Time series forecasting
D) Hypothesis testing
Correct answer: 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 answer: 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 answer: A
Question 9
Which time series model uses both autoregressive and moving average components?
A) AR
B) MA
C) ARMA
D) ETS
Correct answer: 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 answer: B
Question 11
Which of the following is an example of a support vector machine kernel?
A) Linear
B) Exponential smoothing
| 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 answer: 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 answer: 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 answer: 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 answer: 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 answer: C
Question 6
Principal Component Analysis (PCA) is primarily used for:
A) Classification
B) Dimensionality reduction
C) Time series forecasting
D) Hypothesis testing
Correct answer: 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 answer: 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 answer: A
Question 9
Which time series model uses both autoregressive and moving average components?
A) AR
B) MA
C) ARMA
D) ETS
Correct answer: 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 answer: B
Question 11
Which of the following is an example of a support vector machine kernel?
A) Linear
B) Exponential smoothing
