Answer Posted / Sonali Srivastava

The allocation of data for training, validation, and test sets depends on the specific machine learning task and dataset. A common practice is to use 70% of the data for training, 15% for validation, and 15% for testing. However, these ratios can be adjusted based on the available data and the specific requirements of the project.

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