hard20 pts · first answer countsml-pipelinesreproducibility

Same seed, different data order

A team sets random_state=42 everywhere, yet results differ when they rerun on a refreshed copy of the same table. Which cause is most likely?

A.random_state is ignored by scikit-learnB.The query returns rows in a different orderC.Seeds stop working after one monthD.Seeds only apply to GPU training

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Same seed, different data order

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