domains / families / data / splitting-datasets

splitting-datasets

separate

Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.

When to use

• Prepare a dataset for machine learning model training.
• Create training, validation, and testing sets.
• Partition data to evaluate model performance.

When not to use

• Full preprocessing-pipeline ownership
• Leakage audits and prediction-time checks
• Model training and tuning after the split

Skill page

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