Key | Value |
---|---|
FileName | ./usr/lib64/R/library/hmeasure/Meta/package.rds |
FileSize | 1111 |
MD5 | 4B0FAF7D89B84BB68DA570993673E3E0 |
SHA-1 | 37B9351B28CAE0A3AF839403A78BE0ABC1EFA971 |
SHA-256 | 3B292FEEB1397FBAB7F466E6777EA4AAA86A41AFBAF10E1566D57048576F3FB8 |
SSDEEP | 24:X+HPOx17jaqud/5XLEe5D8vH1Aa0nI2zKtcy2Z/bXY0eLvl:X+HPOTOqov5DKDJ2zKtVK/1eL9 |
TLSH | T1F821B9904440302E8CCD9125545517B01A4D20B21E065FD7F9549B786FAE018A6A5965 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
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 |