Welcome to ExamTopics
ExamTopics Logo
- Expert Verified, Online, Free.
Mail Us[email protected]
Menu
Ibm Discussions
exam questions

Exam C1000-012 All Questions

View all questions & answers for the C1000-012 exam
Go to Exam

Exam C1000-012 topic 1 question 86 discussion

Actual exam question from IBM's C1000-012
Question #: 86
Topic #: 1
[All C1000-012 Questions]

What is the main criteria for separating training and test data when training a machine learning system?

  • A. Test data should be as random as possible, so that it tests the boundaries of the system.
  • B. Training data should be random, but the test data should be created by a subject matter expert.
  • C. Training data should be as random as possible, in order to create a robust model.
  • D. The data set should be representative and randomly split in to a training set and a test set so that they do not overlap.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
by CERTIFICATION1990 at Nov. 30, 2019, 7:55 a.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
CERTIFICATION1990
4 years, 12 months ago
D. The data set should be representative and randomly split in to a training set and a test set so that they do not overlap.
upvoted 2 times
...

Get IT Certification

Unlock free, top-quality video courses on ExamTopics with a simple registration. Elevate your learning journey with our expertly curated content. Register now to access a diverse range of educational resources designed for your success. Start learning today with ExamTopics!

Start Learning for free
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