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As the authors acknowledge, they used administratively coded databases, which have inherent misclassification and testing biases.
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To estimate a distribution of the misclassification rate, for each of the 1000 data sets the classifiers were trained and tested, yielding a sample of misclassification rates.
(e) Sample misclassification plot: states of correct classification or misclassification in training and testing samples in each of 10-fold cross-validations are shown.
In addition to misclassification due to testing differences, there is also potential misclassification due to the use of self-reporting of diabetes.
It is seen in Figures 4 e) and 4(f) that there is one sample misclassification in both training and testing in 50% load state.
Furthermore, as drainage classes form an ordered series rather than unrelated classes, differential costs for misclassification were tested in combination with each technique.
31 A more complex method that incorporates both a priori available information about the RA prevalence in Italy and empirical misclassification was also tested in order to improve the estimation based on the current knowledge.
Extant multiple-cost-sensitive learning algorithms are usually designed for dealing with misclassification cost (MC) and test cost (TC) together.
Considering any misclassification due to test performance, a sensitivity test was carried out regarding the correlations between LS and the 13 cognitive tests.
We propose net diagnostic gain and indication area as more appropriate measures of test performance; then, the loss in certainty due to misclassification and the information of "no test" would be performed are taken into account.
Moreover, these results have management implications, regarding the dangers of misclassification, uncertainty in the assessment, use of conflicting indices, and testing and validation of indices.
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