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In most cases, the classification is based on basic mathematical operations.
In such cases, the classification rule can change if only a few individuals were added to that cell.
Investigation of the false positive classified patients indicated that in several cases the classification "diabetic renal damage" may in fact be correct, but albuminuria may be under the respective criteria (see method section: 'Methods').
In 98% of the cases the classification was identical.
Secondly, even for seemingly clear-cut cases, the classification of "disease" might be misleading.
In such cases, the classification is unclear because the sequence or relative importance of β-cell dysfunction and insulin resistance is unknown.
Similar(45)
In some cases the classifications presented in Figure 1 were simplified or edited for analysis purposes (e.g. excluding small categories and 'no answers').
In both cases the classifications fall outside the range of values for the other species and showed low conditional probabilities, suggesting the classification was likely incorrect.
In the general case the classification is given in the category of the C∗-algebras which are C X -modules.
In this case, the classification problem is imbalanced, that is the number of positive cases (exploration) is much smaller than negative cases (return).
As was the case for supervised learning case, the classification problem of the lab set appears to be more difficult than that of the home set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com