Helps plan dataset splits for machine learning training, validation, and testing. Specifies ratios, random seeds, class balance rules, and time or group constraints, with guidance for handing the split to leakage review and model training.
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.
Run score Not tested
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Treat this skill as a narrow helper for partition strategy.
Use this skill when:
preprocessing-data-with-automated-pipelinesml-data-leakage-guardscikit-learnpreprocessing-data-with-automated-pipelines for the broader preprocessing sequenceml-data-leakage-guard to verify the split does not leak future or test informationNo reviews yet. Tell others what you thought.
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