COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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For evaluating regression models, which of the following metrics can not be used?
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R Squared
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Adjusted R Squared
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SSE
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MST
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Explanation:
Detailed explanation-1: -Unlike classification, you cannot use classification accuracy to evaluate the predictions made by a regression model.
Detailed explanation-2: -Root Mean Squared Error: RMSE is the most widely used metric for regression tasks and is the square root of the averaged squared difference between the target value and the value predicted by the model.
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