ExamTopics Logo
Mail Us[email protected]
Menu
Iapp Discussions
exam questions

Exam AIGP All Questions

View all questions & answers for the AIGP exam
Go to Exam

Exam AIGP topic 1 question 75 discussion

Actual exam question from IAPP's AIGP
Question #: 75
Topic #: 1
[All AIGP Questions]

Decreasing the complexity of a machine learning model reduces variance and:

  • A. Increases bias.
  • B. Increases accuracy.
  • C. Decreases tolerance.
  • D. Decreases interpretability.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by Ecommail at June 12, 2025, 7:34 p.m.

Comments

Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.
Switch to a voting comment New
Submit Cancel
Ecommail
3 days, 21 hours ago
Selected Answer: A
A. Increases bias. Decreasing the complexity of a machine learning model reduces variance by making the model less sensitive to small fluctuations in the training data. However, this typically increases bias, as a simpler model may not capture all the underlying patterns in the data, leading to systematic errors. This is known as the bias-variance tradeoff.
upvoted 1 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel