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It had the second lowest AIC, highest pseudo R-squared (amount of explained variability) of 18% and an AUROC of 0.79 (Table 6).
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(The so-called R-squared measure ofcorrelation is 0.90 where 1.0 would mean marching in lockstep).
Visibility, together with humidity, was found appropriate in predicting PM2.5 (R-squared: 0.64) and PM10 (R-squared: 0.62).
The GLM procedure was used to compute R-squared values (giving the amount of variation in price explained) for models and predictors.
R-squared values for all estimates of the amount of variance among individuals were estimated as the square of the Pearson correlation coefficient reported by SAS/JMP.
However, in all our models there is a large amount of unexplained variation (R-squared values for our correlation models vary between 0.18 and 0.41).
We note that the R-squared term (coefficient of determination) represents the amount of variance explained by the regression model and provides a measure of how reliably progression effects can predict survival effects.
This can be seen from the R-squared and the adjusted R square.
The R-squared was chosen because it relates to the amount of variation that the imputed genotypes explain in the masked high-density genotypes.
A statistic called the R-squared value was even used to measure just how tight.
The coefficient of adjusted r-squared for the recovery capability is 0.31, which suggests a significant amount of unexplained variance by the regression model.
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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