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From this figure, we can find that, compared with AdaboostSVM, GA-AdaboostSVM has better classification performance, which can make the classifier get a lower overall error, no matter what the threshold is set to be.
To make the classifier publicly available, we have developed a new web server, called MuStab (http://bioinfo.ggc.org/mustab/).
To achieve this, we strive to make the classifier base its prediction on features that do not correlate with the confounding variable.
However, differences in network topology between free-living organisms and obligate intracellular species may make the classifier less accurate when applied to the latter group of species.
To make the classifier accessible to the genetics research community, we have developed a new web server, called MuStab (http://bioinfo.ggc.org/mustab/).
In order to diminish the impact of the global shift and make the classifier derived from the previous two studies applicable to these unpublished samples, we centered the measurements of each identified gene by subtracting its median in each individual dataset.
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These 9 features constitute the smallest subset of features that make the classifiers have the best prediction performance, so we select them as our selected subset of features [ 19, 20].
This provided the most comprehensive view of Rab evolution obtained to date, and we have established a Rab Database web server to make the classifiers and full analysis available.
This makes the classifier easier to store and faster to compute in the classification phase.
Also, feature selection has the advantage of reducing the dimensionality of the data (the number of features), making the classifier's training much easier.
Intuitively this operation has the effect of making the classifier more likely to predict the larger class by a factor determined by the relative class frequencies.
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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