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)
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sumanshu
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