Key | Value |
---|---|
FileName | ./usr/lib64/R/library/hmeasure/Meta/package.rds |
FileSize | 1110 |
MD5 | 17908F0E405EC4A3FA8BE308F1BB792E |
SHA-1 | 5A3BEC6B5FFFF5746FDF51641BE5DA5DADA83613 |
SHA-256 | F3BD32D08CB3F6454E24E73378ABB9016BE6009C6329AF69B97CC447E04D66A4 |
SSDEEP | 24:X+4m8zMhh4c3vj2ZS7o8Nvq8mmdtFWCjUO9tVUf2xtTLoQOcHoOrfo:X+4m8kh4c3L2ZWo0mmwCjUOXVYbMHfo |
TLSH | T1D311EC4C0C756CF355C76AC3250007F54E413C61EDEB558DF68A0735D55403D5F6B594 |
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 | 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 |