Statistics - Deviance

Thomas Bayes


The deviance is negative two times the maximized log-likelihood.

And in the case of least squares regression, the deviance and the residual sum of squares are equivalent but for other model types the deviance is really just a generalization of residual sum of squares.

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Statistics - Best Subset Selection Regression

The most direct approach in order to generate a set of model for the feature selection approach is called all subsets or best subsets regression. We compute the least squares t for all possible subsets...
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Statistics - Residual sum of Squares (RSS) = Squared loss ?

The Residual sum of Squares (RSS) is defined as below and is used in the Least Square Method in order to estimate the regression coefficient. The smallest residual sum of squares is equivalent to the...

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