The H-Measure and Other Scalar Classification Performance Metrics
The H-measure and other classification performance metrics
Computes the H-measure, AUC, and several other scalar classification p...
Computes misclassification counts and related statistics by contrastin...
Plotting function illustrating the H-measure of classification perform...
Converts class labels to the default choice of numeric 0s and 1s
Report performance measures using an object of class "hmeasure"
Classification performance metrics that are derived from the ROC curve of a classifier. The package includes the H-measure performance metric as described in <http://link.springer.com/article/10.1007/s10994-009-5119-5>, which computes the minimum total misclassification cost, integrating over any uncertainty about the relative misclassification costs, as per a user-defined prior. It also offers a one-stop-shop for other scalar metrics of performance, including sensitivity, specificity and many others, and also offers plotting tools for ROC curves and related statistics.