Examlex
Which of the following statements is CORRECT?
Coefficient Of Determination
A metric in statistics that evaluates the percentage of variability in the outcome variable that can be explained by the predictor variable(s).
SSE
Sum of Squared Errors, a measure used in statistics to quantify the discrepancy between data points and a model's predictions.
SSR
Sum of Squares due to Regression, a measure indicating how well a regression model fits the data.
SSE
The Sum of Squared Errors represents the difference between observed data points and the values predicted by a model.
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