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These values provide good indications of model performance in predicting the stripe boundaries.
Starting with the 'propositional' model shown in Figure 1, we first looked at indications of model misspecification observing suggested left out paths.
We relied on the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI) and root mean square error of approximation (RMSEA) as indications of model quality.
It was demonstrated that such approaches can lead to early indications of model predictions, and intuitively demonstrate these in a biological manner.
Within each of the four item sets (i.e., cognitive impact, emotional impact, physical impact, and social functioning impact), we conducted confirmatory factor analysis (CFA) using structural equation modeling (SEM) and followed common current practice with regard to indications of model fit [ 39, 40].
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Large discrepancies between theoretical and empirical autocovariance functions of those estimators can be interpreted as indication of model misspecification.
The standard error of the individual neural network predictions is taken as the indication of model prediction reliability and is incorporated in the optimization objective function.
Consequently, evaluating the residuals from the analysis does not give a good indication of model performance over a long period of time, as would be useful in a real application.
Since the mixed-effects model tries to fit individual growth curves to data within individuals, strong correlation between within-individual residuals is an indication of model misfit.
The RMSEA is an indication of model fit and is based on the population discrepancy function, which is a standardized measure of error of approximation [ 36].
The model details page provides additional information about each model such as template information, an interactive Jmol (40) based 3D molecular viewer, a first indication of model quality and a structure-based target-template alignment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com