DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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1 and 2
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2 and 3
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1 and 3
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1, 2 and 3
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Detailed explanation-1: -Q22) Which of the following options is/are true for K-fold cross-validation? An increase in K will result in a higher time required to cross-validate the result. Higher values of K will result in higher confidence in the cross-validation result as compared to a lower value of K.
Detailed explanation-2: -1. Which of the following is correct use of cross validation? Explanation: Cross-validation is also used to pick type of prediction function to be used.
Detailed explanation-3: -K-Folds cross validation is one method that attempts to maximize the use of the available data for training and then testing a model. It is particularly useful for assessing model performance, as it provides a range of accuracy scores across (somewhat) different data sets.