RMSECV

AcronymDefinition
RMSECVRoot-Mean-Square Error of Cross-Validation
References in periodicals archive ?
A combinacao de intervalos que apresenta menor RMSECV, geralmente apresenta maior seletividade com a propriedade estudada, fornecendo melhores coeficientes de correlacao e os menores erros de predicao [18, 22, 23].
Dentre os modelos empregando a regressao multivariada destacaram-se os modelos i8PLS, bi32PLS e si2PLS16, sendo que os respectivos valores de RMSECV, RMSEP e coeficientes de correlacao (r) estao apresentados na Tabela 1.
The validation error of the model was expressed by RMSECV, analogous to RMSEC:
The series of PLS models proposed in this work showed RMSEC and RMSECV values up to 56 w/w % (with the exception of the PLS model for prediction of muscovite based on the KBr pellet technique).
The best calibration model for particle size was that based on first derivative preprocessing (17-point smoothing) with three latent variables, which gave a reasonable combination of low RMSECV, high correlation coefficient, and low number of LVs.
5] Nonstandard abbreviations: CVD, cardiovascular disease; TG, triglyceride; NMR, nuclear magnetic resonance; PLS, partial least-squares; IDL, intermediate-density lipoprotein; and RMSECV, root mean square error of crossvalidation.
A linha tracejada corresponde ao valor do RMSECV para o modelo contendo as informacoes do espectro inteiro com 5 variaveis latentes, as barras correspondem ao RMSECV dos intervalos e o numero na base da barra corresponde ao numero de variaveis latentes (VLs) utilizadas para construir o modelo.
Neste algoritmo, os RMSECVs sao calculados para cada combinacao dos intervalos e e escolhida a combinacao de intervalos que apresentar menor RMSECV, geralmente fornecendo melhores coeficientes de correlacao e menores erros de predicao em relacao ao iPLS [30, 33, 34].
The accuracy of prediction of the calibration set (using leave-one-out cross-validation) and the validation set was assessed using the following statistics: RMSECV for the calibration set, or the root mean squared error of prediction (RMSEP) for the validation set; bias; standard error of cross-validation (SECV) for the calibration set, or standard error of prediction (SEP) for the validation; RPD (Fearn 2002); concordance coefficient, which is an index between 0 and 1 that measures how close the regression line, between predicted and measured values, is to a 1 : 1 relationship (Lin 1989, 2000); Pearson's correlation coefficient ([R.