Multiple Choice Flashcards on 01 Databricks Certified Machine Learning Associ...

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Flashcard Practice Databricks Certified Machine Learning Associate Multiple Choice

A team plans to oversample the minority class. When should the oversampling be applied?

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Before splitting the full dataset, so duplicated examples appear in every split. Within the training data after held-out splits are created. On the test set, because test metrics should be balanced. After model scoring, so predictions have equal class counts.

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