COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Leave One Out CV
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K-Fold CV
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Stratified K-Fold CV
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Timeline CV
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Detailed explanation-1: -There are various types of cross-validation. However, mentioned above are the 7 most common types-Holdout, K-fold, Stratified k-fold, Rolling, Monte Carlo, Leave-p-out, and Leave-one-out method.
Detailed explanation-2: -Cross-validation is primarily used in applied machine learning to estimate the skill of a machine learning model on unseen data. That is, to use a limited sample in order to estimate how the model is expected to perform in general when used to make predictions on data not used during the training of the model.
Detailed explanation-3: -Explanation: Cross-validation is also used to pick type of prediction function to be used. 2. Point out the wrong combination. a) True negative=correctly rejected. b) False negative=correctly rejected.