Câu 9: AI-900: Microsoft Azure AI Fundamentals

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

1. A. Use features for training and labels for evaluation.
2. B. Randomly split the data into rows for training and rows for evaluation. — đáp án hiện tại
3. C. Use labels for training and features for evaluation.
4. D. Randomly split the data into columns for training and columns for evaluation.