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Answer: When you want to refit the entire pipeline, including both the estimator and any preceding transformers
The primary reason for placing the CrossValidator inside the Pipeline is to ensure the entire pipeline, including both the estimator and any preceding transformers, is refitted during the cross-validation process. This is crucial for avoiding data leakage and ensuring a fair evaluation of the model. While options A, B, and D are relevant considerations, option C directly addresses the main purpose of integrating CrossValidator within a Pipeline for consistent refitting across all components during hyperparameter tuning.
Author: LeetQuiz Editorial Team
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When is it appropriate to include the CrossValidator inside a Pipeline? Choose only ONE best answer.
A
When you want to train models in parallel
B
When there is a risk of data leakage from earlier steps in the pipeline
C
When you want to refit the entire pipeline, including both the estimator and any preceding transformers
D
When there are estimators or transformers in the pipeline
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