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)
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.
sumanshu
Highly Voted 2 months, 2 weeks agodipti24
Most Recent 6 days, 4 hours agoBSMOOTH
1 week, 1 day agoRavindraDevkhile
1 month, 1 week agoBoss001
2 months, 2 weeks agosajani93
2 months, 2 weeks agoVanessa23
1 year agoLogen
1 year, 2 months agoshiruK
1 year, 2 months agoRJ1989
1 year, 3 months agoDip_ml_2023
1 year, 3 months agosowhkk
1 year, 5 months agordemontis
1 year, 6 months agofguglia
1 year, 9 months agoDhuuh
1 year, 11 months agoGargoyleFeast
2 years, 1 month agoGanaparthi
2 years, 1 month ago