Examlex
Which of the following is the best example of overregularization?
Total SS
Stands for the total sum of squares in statistics, which measures the total variation in a dataset.
Coefficient of Determination
A statistical measure represented by R^2 that indicates the proportion of the variance in the dependent variable predictable from the independent variable(s).
Sum of Squares for Error
The sum of the squared differences between the observed value and the estimated value of the parameter of interest, used as a measure of variation within a dataset.
Sum of Squares for Regression
The sum of squares for regression quantifies the variation explained by the regression model, comparing the fitted values against the mean of the dependent variable.
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