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We then compare and rank the models by classical measures of fit based on information criteria.
The ranking procedure employs a robust principal component analysis and statistics used as the measures of fit.
For each approach, we present measures of fit to historic observations and predictions of future response, as well as estimates of model parameter uncertainty, when available.
Looking beyond the usual measures of fit and adequacy, residual analysis revealed nothing out of the ordinary and tests of parameter coefficients significance all looked satisfactory.
Looking beyond the usual measures of fit and adequacy, residuals analysis revealed nothing out of the ordinary and all parameter estimates were significant (|t| > 2.5).
Statistical measures of fit included the Chi-square (χ2), root mean square error of approximation RMSEA and comparative fit index CFI.
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The equation in each chart represents the linear relationship between the measures, while the measure of fit is provided by the Pearson product-moment correlation coefficient (R).
oThe procedure is much the same as for classification trees, but the fitting criterion is the error sum of squares or a closely related measure of fit.
The widely used global quantization error (QE) metric is the standard measure of fit of a SOM model to a particular distribution.
Empirically, (beta) should be parameterized with relatively high values, establishing (overline{qe}(t)) as the main measure of "fit" and using (overline{lambda }(t)) as a failsafe mechanism.
The parameters are adjusted so that a measure of fit is optimized.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com