Once this objective is accomplished, further issues such as indicator classification, temporal linkages within the disaster cycle, or more technical challenges such as data availability, indicator weighting or scale issues will follow [ 1, 16, 38].
GA and C are two important indicators for classification accuracy.
It was somewhat difficult to make a clear-cut typology of indicators, whatever classification was used.
Obtaining high-quality data will require consistent definitions for stillbirths, systematic population-based registration, better tools for surveys and verbal autopsies, capacity building and training in procedures to identify causes of death, locally adapted quality indicators, improved classification systems, and effective registration and reporting systems.
Therefore, it can be regarded as a reasonable indicator of classification performances.
31 Indicators of correct classification or treatment were calculated by comparing the HEW's classification and treatment with the gold standard classification from the re-examination and the associated treatments/referral recommended in the iCCM clinical guidelines.
The methods are compared in four performance indicators typical for classification tasks: true (TPR) and false positive rate (FPR), accuracy, and area under receiver operating characteristic (AUROC).
Indicators values and classification results for 6% of the french municipalities (corresponding to 41% of all french buildings) are available through a web cartographic portal by any person interested in such analysis.
Accuracy, probability of detection, probability of false alarm, balance, Area Under Curve (AUC), and Normalized Expected Cost of Misclassification (NECM) are the main performance indicators of our classification approach.
This algorithm performs gene selection from the point of view of the sensitivity and the specificity, both used as quality indicators of the classification test applied to the previously selected genes.
After the calculation, commonly used statistical indicators related to classification are displayed, including number of positive samples, number of negative samples, AUC score, accuracy, MCC, F1 score, sensitivity, specificity and ROC curve.
