… measures. In particular, we suggest evaluating the performance of classifiers using measures
… As suggested by Bayes’s theory [9,10], the measures listed in the survey section have the …

In this paper, we present a classification model to evaluate the performance of companies
on the basis of qualitative criteria, such as organizational and managerial variables. The …

… of the discriminant analysis based … measure helps the discriminant analysis based feature
extraction methods achieve good pattern recognition performance, we analyze discriminant …

… In this study, masticatory performance was assessed in both tests at the same time. Then,
the … measure what we think it is measuring, it hardly matters that the measurement is reliable. …

… This paper reviews discriminant analysis in terms of … of discriminant analysis for classification
purposes, covers historical develop ment in the Pearsonian stage, dealing with measures …

… the study was to measure the diagnostic usefulness of autoantibody tests in a large tertiary
hospital environment and to assess the challenges facing performance evaluation with new …

… The general objectives for performance measurement outlined above have been partially
achieved in the Antarctic setting. A high degree of agreement between supervisor and peer …

… used for combining multiple measures of student performance were often subjective and …
was to use a discriminant analysis to combine a set of multiple measures in a manner that …

… Although the discriminatory power of the analysis is not affected, the redundant information
in the correlated measures is disregarded in discriminant analysis. For example, if two …

… in the setting of the quadratic and linear discriminant analysis has been addressed by many
… of discriminant analysis. The available methods for robust linear discriminant analysis are …