Sentence examples for misclassification is calculated from inspiring English sources

To carry out this evaluation process, misclassification is calculated as follows 1. False negative in % = N A * 100   2.

The effect of misclassification was calculated in terms of sensitivity and specificity.

Proportion of misclassifications is calculated as the ratio: number of wrong classification divided by total number of classifications.

The rates of false positives and diagnostic misclassifications were calculated for the sample as a whole and then by anatomical system.

The misclassification score is calculated by multiplying the number of times a class was misclassified by the misclassification weight for that class and then summing across the classes.

Assuming that the probability of positive and negative increments is p = 0.5 the probability of misclassification is the following: For example the probability of at most two misclassifications in 27 paired samples is calculated as: which after Bonferroni correction on the number of U133A probe sets becomes adjusted p-value = 0.062.

The misclassification of the potential weak classifier is calculated based on the soft membership values.

The rate of misclassification errors was calculated as the ratio of the number of children with a partial discordance, again to all children in the study.

The minimum detectable receptor site concentration, relative or absolute numerical bias and imprecision which are complex and integral functions of misclassification, have been calculated from practical data and for a range of experimental conditions likely to be encountered in practice.

Ranking of genes according to their contribution to the classification and misclassification rates were calculated, and a classifier composed of 724 genes was found that could discriminate between the two compound groups (Fig.  44 and therefore, in principal, predict human drug toxicity.

The detector׳s discrimination of neutrons from photons is relatively good; specifically, one out of 105 photons is misclassified as a neutron and, more importantly, this misclassification rate can be calculated precisely for different measurement environments and can be taken into account in setting alarm limits for neutron detection.