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However, all of these classification systems and models (including CTP and MELD) still rely on traditional measures of liver function, only provide a global assessment of liver function, and/or do not take into account spatial variations in liver function [15].
All of these classification tasks can be biased by the data range (the j-th features of the data vector could take value in a different range with respect to the i-th one), and then, the opportunity of a scaling operation has to be analyzed in terms of classification performance.
In fact, almost all of these classification methods were proposed through analyzing an individual dataset [ 1- 3, 5, 7, 8].
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Of course, all of these classifications are arbitrary and pointless, but it would be interesting to look closely at whether boundaries between genres have gotten more rigid or more porous over time.
All of these classifications were made on the basis of notes or data in the patient record.
Interestingly, virtually all of these annotation classifications exhibited induced expression profiles exclusive to the resistant reaction.
To verify the reliability of these classifications all the sequences identified in Physcomitrella were then aligned with known sequences from A. thaliana, O. sativa, Populus spp, C. reinhardtii, O. tauri, the additional algal sequences and Lil7 from the two Selaginella species.
For all of these reasons, these classifications never gained popularity.
"None of these classifications is satisfactory by itself," Perec notes, "every library is ordered starting from a combination of these modes of classification, whose relative weighting, resistance to change, obsolescence, and persistence give every library a unique personality".
Nevertheless, using all of these features in a classification system may not enhance but instead degrade the performance.
The classifier, in our case a support vector machine (SVM), then uses correlations between all of these features to give a classification for each example.
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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