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Table 1A shows the distribution of the classification of stimuli by category averaged across all scanning subjects.
Figure 7 shows the cumulative distribution of the classification error difference on the two datasets for the respective methods.
The advantage of this approach is that one avoids making assumptions about the distribution generating the dataset or the distribution of the classification errors.
When distinguishing patients with DN from normoalbuminuric diabetic patients, the distribution of the classification factors in the control group (patients without DN) was broader than in the case group (see figures 2B and 3A).
With 1000 permutations, we obtain an estimated null distribution of the classification performance when there is no true classification signal in the data.
Figure 1 shows the spatial distribution of the classification accuracy on slices through the STP containing HG and on the temporal lobe surfaces.
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Moreover, the spatial distribution of the suitability classification derived from the soil-landscape prediction model shows a more realistic pattern and better identification of extreme land characteristics, such as rocky areas and deep soils.
The distribution of the WHO classification and Masaoka Koga stage of the 187 patients is shown in Table 2.
On the whole, the distribution of the functional classification of all scaffolds built by our collected soybean genes was comparable with those identified from a similar study performed with a collection of Populus nigra.
For example, analysis of Table 1 in the paper by Vesconi and colleagues [ 1] reveals the wide diversity of the patient study population involved; the distribution of the RIFLE classification at the start of RRT is intriguing as a substantial portion of the patients was started on dialysis without even having class 'I' of RIFLE.
The distribution of the candidate classification criteria for the 125 PMR patients and 169 non-PMR comparison subjects (all, RA only and shoulder condition only) is displayed in table 1. Criteria items present in over 80% of the PMR subjects were 2 weeks or greater duration of symptoms, bilateral shoulder pain and elevated CRP and/or ESR.
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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