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Misclassification between the non-adjacent LIR and HIR classes was kept to a minimum and the model yielded cross-validated error of 16% for the 5061 database records.
Together, either a confirmatory OGTT or repeated-measures OGTTs over time lowered the likelihood of misclassification between the groups.
Nevertheless, the 10percentt misclassification between the gene profile and pathological scoring might partly be attributed to this phenomenon.
In contrast to other studies [ 18, 19], ours did not adjust for stage, because stage migration might entail differential misclassification between the pre- and post-program groups.
However, because there was a possibility of misclassification between the primary focus and metastatic infection site, the clinical impact of this finding is unclear.
The DS02 dataset shows that there is virtually no misclassification between the DS86 categories "below 5 mSv" and "above 5 mSv".
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When we compared misclassifications between the BRCA1 aCGH and MLPA classifiers we found that five BRCA1-mutated tumours were not classified as BRCA1-like with MLPA and five were missed by aCGH (not completely overlapping).
There is some potential for misclassification between these categories.
To evaluate the degree of potential misclassification between definitions, we assessed the agreement of the questionnaire definition with that of genetic ancestry, using genomic components (Online Resource 7).
A last possibility is that the misclassification between neighbours is mainly due to the fact that songs of neighbouring groups are too similar and therefore cannot reliably be assigned to the correct group.
The distribution of misclassification errors between the trained machine and simple guess (the class label was predicted based on the majority class in the training data set) were compared by the Friedman Rank Sum test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com