Result for 37B9351B28CAE0A3AF839403A78BE0ABC1EFA971

Query result

Key Value
FileName./usr/lib64/R/library/hmeasure/Meta/package.rds
FileSize1111
MD54B0FAF7D89B84BB68DA570993673E3E0
SHA-137B9351B28CAE0A3AF839403A78BE0ABC1EFA971
SHA-2563B292FEEB1397FBAB7F466E6777EA4AAA86A41AFBAF10E1566D57048576F3FB8
SSDEEP24:X+HPOx17jaqud/5XLEe5D8vH1Aa0nI2zKtcy2Z/bXY0eLvl:X+HPOTOqov5DKDJ2zKtVK/1eL9
TLSHT1F821B9904440302E8CCD9125545517B01A4D20B21E065FD7F9549B786FAE018A6A5965
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
MD51F18EE8B6B1638EC1DF08EABFF0C9A4C
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.
PackageNameR-hmeasure
PackageRelease2.21
PackageVersion1.0.2
SHA-198D93B77D81B839F850F0086AF5C68ABCAB48D36
SHA-2565B6ABB6BCF08F076385F4F24968553532091DF8357ED654EC7A04B991CB99CFC