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SSE is also commonly referred to as the error sum of squares.
Error sum of square.
predictive error sum of squares.
distributed predictive error sum of squares.
Predicted residual error sum of squares.
The validity of the models was assessed by using the Prediction Residual Error Sum of Squares (PRESS).
The minimum Prediction Residual Error Sum of Squares (PRESS) was 0.824 tested by leave one out cross validation.
The predicted residual error sum of squares (PRESS) was computed from the error in prediction.
7 9 define the Distributed PRedictive Error Sum of Squares (DPRESS) approach to estimating predictive uncertainty.
is the error sum of squares between the observed and predicated data.
The predictive uncertainty factor γt* is obtained by distributing the internal predictive error sum of squares across objects in the training set based on the distances between them, hence the acronym: Distributed PRedictive Error Sum of Squares (DPRESS).
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