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

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.

View Answer

Answer: B

Explanation: https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data