hmeasure: The H-Measure and Other Scalar Classification Performance
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.
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