In some cases, the cost of wrong classification can be very high in a sample of a special class, such as wrongly misclassifying cancerous individuals or patients as healthy ones.
~Omics data also needs to be preprocessed for highly correlated features, as the contribution of such features in classification would be wrongly estimated in tree-based classifiers [ 5], and for features with homogeneous values across all observations as they decrease classification accuracy [ 6].
Firstly, as a result of lack of a consistent classification, OASI can be wrongly classified as a 2nd degree tear and therefore managed inappropriately.
All the biofilms grown in standing water are well classified, but two biofilm samples grown in flowing water are wrongly classified, which results in a total classification rate of 88.9%.
This indicates that OM may exist as an entity and some OM may be wrongly grouped under the category of RPON in the international headache classification.
If the main classification goal is to minimize the number of pixels wrongly classified, the mean texture parameter should be used, whereas if the main classification goal is to minimize the unclassified pixels the angular second moment texture parameter should be used.
This case report indicates that OM may exist as an entity and some OM may be wrongly grouped under the category of RPON in the current international headache classification.
In the binary logistic regression analysis, the Hosmer-Lemeshow index suggested discrepancies between the observed and predicted classifications, meaning that 15percentt of the cases were classified wrongly by the model.
In addition to the wrongly perceived cause and effect hypothesis, another conflicting view point is the definitional classification using certain 'exclusion criteria'.
The leave-one-out cross-validation of classification error, tests the percentage of N cells that are classified wrongly when one cell is in the test set and N – 1 cells are in the training set.
