Latest Updated 2025/2026 (Graded A+) Georgia
Institute of Technology
1. The source of error where the neural network may not generalize
(e.g., overfitting due to finite data) to the testing set is known as:
A. Estimation Error
B. Optimization Error
C. Modeling Error
D. Testing Error
Correct Answer: A. Estimation Error
2. Select the following trends of errors that occur as a neural network
grows in complexity:
A. Modeling error decreases
B. Optimization error decreases
C. Modeling error increases
D. Estimation error increases
Correct Answer: A, D
3. Which of the following errors decreases as model capacity
increases?
, A. Estimation Error
B. Modeling Error
C. Testing Error
D. None of the above
Correct Answer: B
4. Which type of error is most directly reduced by using more training
data?
A. Optimization Error
B. Estimation Error
C. Modeling Error
D. Testing Error
Correct Answer: B
5. The error due to the inability of the learning algorithm to find the
global optimum is known as:
A. Estimation Error
B. Optimization Error
C. Modeling Error
D. Training Error
Correct Answer: B
6. Which error component represents underfitting due to limited
model capacity?