Exam DSA-C02 Topic 1 Question 62 Discussion
Actual exam question for Snowflake's DSA-C02 exam
Question #: 62
Topic #: 1
Question #: 62
Topic #: 1
Which of the following cross validation versions is suitable quicker cross-validation for very large datasets with hundreds of thousands of samples?
Suggested Answer: C Vote an answer
Explanation
Holdout cross-validation method is suitable for very large dataset because it is the simplest and quicker to compute version of cross-validation.
Holdout method
In this method, the dataset is divided into two sets namely the training and the test set with the basic property that the training set is bigger than the test set. Later, the model is trained on the training dataset and evaluated using the test dataset.
Holdout cross-validation method is suitable for very large dataset because it is the simplest and quicker to compute version of cross-validation.
Holdout method
In this method, the dataset is divided into two sets namely the training and the test set with the basic property that the training set is bigger than the test set. Later, the model is trained on the training dataset and evaluated using the test dataset.
by Abraham at Feb 28, 2025, 11:45 AM
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