APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following is true about Residuals?
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Lower is better
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Higher is better
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A or B depend on the situation
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None of these
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Explanation:
Detailed explanation-1: -Which of the following is true about residuals? Residuals refer to the error values of the model. Therefore lower residuals that have normal distribution are desired.
Detailed explanation-2: -A residual is the difference between the observed value of a quantity and its predicted value, which helps determine how close the model is relative to the real world quantity being studied. The smaller the residual, the more accurate the model, while a large residual may indicate that the model is not appropriate.
Detailed explanation-3: -Solution: A Sum of residual in regression is always zero. It the sum of residuals is zero, the ‘Mean’ will also be zero.
There is 1 question to complete.