Answer-first summary for fast verification
Answer: For pipelines containing estimators, encapsulate the entire pipeline within the cross-validator., To mitigate data leakage risks, position the pipeline inside the cross-validator.
The arrangement depends on the presence of estimators or transformers in the pipeline. For instance, with estimators like StringIndexer, refitting is necessary each time if the pipeline is placed inside the cross-validator. However, to prevent data leakage from initial steps, it's safer to position the pipeline within the cross-validator. This approach ensures the cross-validator first splits the data before fitting the pipeline, avoiding potential information leakage from the hold-out set to the training set.
Author: LeetQuiz Editorial Team
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In the context of machine learning pipelines utilizing cross-validation, how should the pipeline and cross-validator be arranged when estimators or transformers are involved?
A
Place the cross-validator within the pipeline under all circumstances.
B
For pipelines containing estimators, encapsulate the entire pipeline within the cross-validator.
C
To mitigate data leakage risks, position the pipeline inside the cross-validator.
D
Regardless of the scenario, always embed the pipeline inside the cross-validator.
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