Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F45B2A6D144BA006D452DE3743D2D7DF
PackageArch	x86_64
PackageDescription	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.
PackageName	R-hmeasure
PackageRelease	lp152.2.6
PackageVersion	1.0.2
SHA-1	CA4179E31D3E67D060E56A96F3F217CD9401DCF6
SHA-256	0543EFE97A14516E03E318C14FD7982055DADF572DA52709D4A194827E01EE01

Key	Value
MD5	1F18EE8B6B1638EC1DF08EABFF0C9A4C
PackageArch	x86_64
PackageDescription	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.
PackageName	R-hmeasure
PackageRelease	2.21
PackageVersion	1.0.2
SHA-1	98D93B77D81B839F850F0086AF5C68ABCAB48D36
SHA-256	5B6ABB6BCF08F076385F4F24968553532091DF8357ED654EC7A04B991CB99CFC

Key	Value
MD5	95054B3EAC7B7D74A289FAEB9FBD7E06
PackageArch	x86_64
PackageDescription	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.
PackageName	R-hmeasure
PackageRelease	lp153.2.3
PackageVersion	1.0.2
SHA-1	E6D57A31EF46B5A52A4EC6E00B3F7A2A03FB198A
SHA-256	6400CEB81B653E96BABCF5EE399AD38BE36C6A1B73E6F4BDFEBC50FCC22AD275

Key	Value
MD5	F5B2F4CA55DF4F927C501D41D53BBB82
PackageArch	x86_64
PackageDescription	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.
PackageMaintainer	https://www.suse.com/
PackageName	R-hmeasure
PackageRelease	lp154.2.1
PackageVersion	1.0.2
SHA-1	806511F0620EE336B8D1919B77A382C8158A14B1
SHA-256	EC99CECAD5C4C6B0A1DB5CE411077EFCDBDE8D556E5D9FF35153E9B7D46020E4