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Coefficient of determination (R2) values above 0.70 indicates a model that fits the data well.
The AUC statistic is a threshold-independent measure of model performance; theoretically, an AUC score of 1.0 indicates optimal performance, while AUC = 0.5 indicates a model that predicted occurrences no better than at random [40].
A higher C-Index (up to a value of 1) indicates a model that more accurately estimates the true risk of recurrence.
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Confidence intervals that widen rapidly as time increase from the starting point of the forecasts also indicate a model that needs frequent updating.
Basic goodness of fit plots and VPC plots indeed indicated that a model that assumes both effects is more appropriate.
In the case of the beef cattle dataset, the posterior estimate of transgenerational epigenetic variability was very low and a model comparison test indicated that a model that did not included it was the most plausible.
Negative LBF values indicate a model fit that is better than the reference model.
The authors start with a model that indicates that a bidirectional transport is required to generate a pattern that reflects the pattern of branching along the moss gametophyte.
The range of possibilities in that projection is indicated in the chart with a much wider range of outcomes, indicating the many uncertainties included in a model that goes beyond polling data.
Under this revised demographic model, Pearson's r for the overall correlation between observed and expected frequencies is 0.93, indicating a neutral model that is conservative can explain nearly all the variation in insertion frequencies.
The scores indicate that W2V induces a model that, among these two, is better suited for IR with the approach taken here.
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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