Key | Value |
---|---|
FileName | ./usr/lib64/R/library/hmeasure/R/hmeasure.rdb |
FileSize | 26720 |
MD5 | 733284C2AA36A2F7270B060DB8B6C1D0 |
SHA-1 | 2004F95D89DF8119FBCF4AABA581FB80FC457F90 |
SHA-256 | 787587253AB3EAAD3FE44BF8E5B117346485CB4A16FF50970CE509074EA97FC7 |
SSDEEP | 768:z8f13Xai/c8bqx/C25Fr9V2lkU9o0YHxpHlmHKOg2JA:z8t3Xad8bI5OlZo1pHlmqaA |
TLSH | T179C2F1A4294BE1994860A115420A472254C7D47EA374EF2D31ECB483B5FBE7F0EFF898 |
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 |