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One addition that would make this table easier to interpret would be the addition of errors on the % importance and rank importance obtained by bootstrapping the data set if this would take an acceptable amount of computation time – for example, how large a change in rank is meaningful?
The biplot of the principal component analysis (PCA) confirmed the order of importance obtained from these means, and indicated a strong correlation between "Taxes" and "Depredation/Other" (Figure 1).
The relative predictive importance obtained with RF for each SNP covariate x j l in each line is plotted in Figure 1.
The ranked scores were converted to percentiles in order to make it possible to compare the order of gene importance obtained from these four analysis methods).
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Nevertheless from this dataset, some examples were hand-picked, corresponding primary literature were read and known residue importances obtained, which were then compared with the predicted ones from our tool.
Thus, by considering clinical importance, we obtained a slightly different interpretation of the importance of these two predictors.
However, fuzzy importance ratings obtained using F-QFD might be misleading because the approach does not consider the random fluctuations of the fuzzy importance ratings.
The mean importance ratings obtained from our 38 survey participants ranged from 38.8 to 83.5 on the 0 to 100-point scale.
The RF++ variable importance ranks obtained from SLB and URF forests were consistently lower than the ranks from SLA forests.
The importance is obtained by randomly permuting the values of a feature and measuring the resulting decrease in classification accuracy.
All the genomic variables were ranked by the importance score obtained from the RF analysis (Additional file 5).
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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