Result for 5A0B97B97C99ABB45B0FB7692CD0B02548D41C38

Query result

Key Value
FileName./usr/lib64/R/library/hmeasure/R/hmeasure.rdx
FileSize398
MD52FF31B8BF1DDAE1B8214C70BAB37D486
SHA-15A0B97B97C99ABB45B0FB7692CD0B02548D41C38
SHA-256823733EF4A8B5D1D9E11FB1C998D992905503CAFB2A4F05DCBFE473C37A56C42
SSDEEP6:XtL7/xRh9mYQkFXS2A8ZtDzXnp2Xfe/KhGbkjMcs5ZXyvXqCg8h51CkPShXvKPqW:XN/B9xXXJA8l2veOMGMd5ZXCqWoRc5Dn
TLSHT1A5E0F1FE014C2836AC2C19205E114037DCEE5C04A72BE108F8DBC655108A5353EAE15D
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5F5B2F4CA55DF4F927C501D41D53BBB82
PackageArchx86_64
PackageDescriptionClassification 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.
PackageMaintainerhttps://www.suse.com/
PackageNameR-hmeasure
PackageReleaselp154.2.1
PackageVersion1.0.2
SHA-1806511F0620EE336B8D1919B77A382C8158A14B1
SHA-256EC99CECAD5C4C6B0A1DB5CE411077EFCDBDE8D556E5D9FF35153E9B7D46020E4