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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.
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Suggested Answer: B 🗳️

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Chosen Answer:
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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
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dipti24
Most Recent 6 days, 4 hours ago
Selected Answer: B
B is correct
upvoted 1 times
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BSMOOTH
1 week, 1 day ago
Selected Answer: B
correct
upvoted 1 times
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RavindraDevkhile
1 month, 1 week ago
vote foe C
upvoted 1 times
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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
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sajani93
2 months, 2 weeks ago
Selected Answer: B
Answer is B
upvoted 2 times
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Vanessa23
1 year ago
training vs evaluation ratio: 70% vs 30%
upvoted 2 times
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Logen
1 year, 2 months ago
B is correct
upvoted 2 times
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shiruK
1 year, 2 months ago
B makes sense
upvoted 2 times
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RJ1989
1 year, 3 months ago
Selected Answer: B
B is correct
upvoted 1 times
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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
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sowhkk
1 year, 5 months ago
Selected Answer: B
B est correct
upvoted 1 times
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rdemontis
1 year, 6 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
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fguglia
1 year, 9 months ago
Absolutely B!
upvoted 2 times
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Dhuuh
1 year, 11 months ago
Selected Answer: B
that is correct answer
upvoted 2 times
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GargoyleFeast
2 years, 1 month ago
Correct option is B
upvoted 1 times
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Ganaparthi
2 years, 1 month ago
B is Correct
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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