Although the combination of measures
improves classification accuracy in a prediction model, in practice, it is difficult to discern the combination of cut scores and patterns of performance that would identify a student as at risk for not passing the criterion measure.
Not exact matches
«We hope that our new molecular
classification method will help
improve diagnostic
accuracy in CNS tumors and, thus, also
improve the chances for successful treatment,» said von Deimling.
«Furthermore, we think that multimodal data analyses, which integrate imaging data from multiple sources, can
improve and enhance the
classification by providing higher
accuracies and more comprehensive backgrounds about the nature of the diagnosis.»
Conducted data analysis using logistical model, LDA, QDA, KNN, tree
classification and random forest method to identify high readmission risk patient and
improved the
accuracy (C - scores) by 30 percent.