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The mean classification rank accuracy over all 12 participants was 0.78 (SD = 0.11).
Using the multidimensional scaling tool (BioloMICS) with the distance matrix, the data points were visualized in 3D and colored according to the classification rank specified.
Normalization of peak VO2 to estimated leg muscle mass, when compared to normalization to total body mass/lean body mass had an impact on the classification rank of training-level in girls.
This impact of normalization on classification rank of training-level was less apparent in boys (2 subjects reclassified) – mainly because their estimated fat mass in legs exhibits very low levels with low variation.
In addition, the normalization of peak VO2 to estimated leg muscle mass, when compared to normalization to total body mass/lean body mass has an impact on the classification rank of training-level in girls, but much less so in boys.
The aim of this pilot study was to: (i) identify preoperative PC measurements that predict acute postoperative morbidity and (ii) compare the predictive value of these PC measurements with that of the assigned (ASA) physical status classification rank in the same (n=32) cancer patients undergoing major abdominal surgery at The University of Texas M.D. Anderson Cancer Center.
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This study investigates the possibility of making tumor classification more informative by using a method for classification ranking that requires no additional ranking analysis and maintains relatively good classification accuracy.
In order to meet the need of classification, ranking, and class probability estimation, we discriminatively design three different versions: RSNB-ACC, RSNB-AUC, and RSNB-CLL.
As biologists have adopted a phylogenetic basis for taxonomy, many have discovered a frustrating clash with one aspect of Linnaean classification: ranks, or the designation of specific levels corresponding to kingdom, phylum, class, order, family, and genus.
Lampre-Polti finished as the winners of the team classification, ranking each of the twenty teams contesting the race by lowest cumulative time.
MDR has been designed for binary classification ranking.
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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