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Topic starter
27/10/2022 12:22 am
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.
Suggested Answer: B
Explanation:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data
Explanation:
https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data