Sentence examples for misclassification and the from inspiring English sources
The optimal combination of attributes minimizes a weighted sum of total fractional misclassification and the percentage of the total number of variables employed to obtain the misclassification.
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.
However, in heterogeneous and changing landscapes, these data may be insufficient to detect temporal changes (and their causes) because of the uncertainty associated with misclassification and the spatio-temporal variability of change patterns.
The simulation results indicate that the proposed scheme is slightly better than the conventional two-stage method with respect to the rate of misclassification, and the real-world data on the basis of Wilk's Lambda and discriminant analysis.
Still, he played down the seriousness of the misclassification and the fact that classified details were revealed to Boal, who does not hold a security clearance, by stating that portions of his remarks had already been revealed by President Barack Obama and other government officials after bin Laden was killed.
Other limitations include the possibility of misclassification and the wide variation in follow-up.
Assessing indoor levels of TRAP through the collection and analysis of settled house dust is a new area of study and has the potential to reduce the misclassification and increase the specificity of exposure.
Clinicians wishing to assess a classifier need to obtain estimates for the costs of misclassification, and calculate the overall risk of reliance.
For each application we estimate the exact probabilities of misclassification, and in the case of Stocks' data we make extensive comparisons with previously published estimates.
If the diet changes, this may entail an important degree of misclassification and decreases the probability of observing effects that depend more on current than in past exposure.
Parameters C and gamma, which controls a tradeoff between allowed training errors and misclassifications, and the width of the radial basis function, were tuned using a 10-fold cross-validation approach.
