exam questions

Exam AI-900 All Questions

View all questions & answers for the AI-900 exam

Exam AI-900 topic 1 question 2 discussion

Actual exam question from Microsoft's AI-900
Question #: 2
Topic #: 1
[All AI-900 Questions]

For a machine learning progress, how should you split data for training and evaluation?

  • A. Use features for training and labels for evaluation.
  • B. Randomly split the data into rows for training and rows for evaluation.
  • C. Use labels for training and features for evaluation.
  • D. Randomly split the data into columns for training and columns for evaluation.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

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
sumanshu
Highly Voted 2 months, 2 weeks ago
Vote for 'B' A. Use features for training and labels for evaluation. ==> Wrong (Training need both features and labels) B. Randomly split the data into rows for training and rows for evaluation. ==> Correct (few data used for training and on few data we can evaluate performance of model) , (so split in rows) C. Use labels for training and features for evaluation. ==> Wrong (for training we need both features and labels) D. Randomly split the data into columns for training and columns for evaluation. ==> Wrong (Data will be split row -wise)
upvoted 9 times
...
dipti24
Most Recent 3 days, 4 hours ago
Selected Answer: B
B is correct
upvoted 1 times
...
BSMOOTH
5 days, 23 hours ago
Selected Answer: B
correct
upvoted 1 times
...
RavindraDevkhile
1 month ago
vote foe C
upvoted 1 times
...
Boss001
2 months, 2 weeks ago
Selected Answer: B
B. Randomly split the data into rows for training and rows for evaluation.
upvoted 3 times
...
sajani93
2 months, 2 weeks ago
Selected Answer: B
Answer is B
upvoted 2 times
...
Vanessa23
1 year ago
training vs evaluation ratio: 70% vs 30%
upvoted 2 times
...
Logen
1 year, 2 months ago
B is correct
upvoted 2 times
...
shiruK
1 year, 2 months ago
B makes sense
upvoted 2 times
...
RJ1989
1 year, 3 months ago
Selected Answer: B
B is correct
upvoted 1 times
...
Dip_ml_2023
1 year, 3 months ago
Selected Answer: B
Split the data for training and testing. randomly 75-25 split on row may be a good idea.
upvoted 1 times
...
sowhkk
1 year, 5 months ago
Selected Answer: B
B est correct
upvoted 1 times
...
rdemontis
1 year, 5 months ago
Selected Answer: B
give answer is correct, you can randomly split rows in order to have a variable sample to train and to evaluate the model
upvoted 1 times
...
fguglia
1 year, 9 months ago
Absolutely B!
upvoted 2 times
...
Dhuuh
1 year, 11 months ago
Selected Answer: B
that is correct answer
upvoted 2 times
...
GargoyleFeast
2 years, 1 month ago
Correct option is B
upvoted 1 times
...
Ganaparthi
2 years, 1 month ago
B is Correct
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
Loading ...