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Solid and open bars indicate the numbers of occurrences of probable and possible SSEs, respectively.
The numbers in parentheses above the map indicate the numbers of recombinants detected in the mapping population.
The numbers 1 56 indicate the numbers of the strains as they are listed in Table 1.
The terms (n_{x}), (n_{z}), and (n_{W}) indicate the numbers of industrial sectors, waste treatment sectors, and waste categories, respectively.
Table 1 Confusion matrix of a classifier [37] Classified positive Classified negative Actual positive TP FN Actual negative FP TN In Table 1, TP and TN indicate the numbers of positive examples and negative examples that are correctly classified, respectively; FN and FP indicate the numbers of positive examples and negative examples that are incorrectly classified, respectively.
Table 5 Confusion matrix of SOM based spectral clustering with CONN similarity, for Zone1 SC_CONN, k = 30 Ineligible Eligible Producer accuracy Ineligible 5,168,7341 3,091,4972 62.57 Eligible 845,3423 13,934,4274 94.28 User accuracy 85.94 81.84 82.91 The elements indicate the numbers of pixels in Figure 2b: 1black, 2blue, 3red, and 4white.
Similar(34)
The numbers underneath each marker indicate the numbers of recombinants between GNS4 and the molecular markers.
Bubble size and the number indicate the number of patients.
Numbers indicate the number of unigenes assigned to each term.
Numbers indicate the number of patients in each category.
#Numbers in parenthesis indicate the number of plants or lines.
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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