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In our first approach, we used bootstrapping and defined variable importance as the proportion a given variable is selected and hence leads to models that are more stable than models selected using only automated procedures.
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Gain index percentage reporting how much greater the proportion of a given target category at each node differs from the overall proportion.
If the relative proportion for a given room is >0.167, then it is overrepresented in that room type.
Therefore, if the relative proportion for a given room is >0.167, then it was overrepresented in that room type.
Finally, the object by proportion of a given faculty is that item under which all things known by that faculty fall.
In this case, the proportion of a given phenotype would reflect the probability of an individual cell to reach that phenotype.
Class accuracy refers to the proportion of a given observed class that was correctly classified.
FastR performs the search on a filtered database, which is only a small proportion of a given genome.
Hence, a detectable proportion of a given abundant transcript with a processed 5′ end can survive the enrichment procedure.
Sensitivity (Sn) is the proportion of a given feature (nucleotides/exons/introns/genes) in the annotation that are correctly predicted.
The weights were the inverse of the variance of the proportion at a given phase for each jurisdiction.
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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