Computer scienceData scienceMachine learningIntroduction to machine learning

Cross-validation

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Choose the issue that cannot be resolved with Cross-validation?

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Quality of your model during validation is measured based on just a small part of the dataset

Measured quality might differ form the “real” one as your model does not get part of the dataset for its training.

Models training too slow

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