Key | Value |
---|---|
FileName | ./usr/lib64/R/library/hmeasure/Meta/links.rds |
FileSize | 190 |
MD5 | 63B2BF75C6BDC3B1A749925F04EEBB43 |
SHA-1 | 61745F22614391F2A5B71B39CC81A8474BE46FFD |
SHA-256 | 996D4FBD04CD3EB03BBB8446825600E2F7A2117E976DEFD80C84BC90D7A95970 |
SSDEEP | 3:FttVFHIXgEFxlx0+IO5KkK1hPs8DESnUucn/FADKpRKVLt7vtgsD00ryrAvmINPV:XtVFoQEMXO5KH1rDEYUucRKv7vfoS5vJ |
TLSH | T1CCC01248484A62D8E42713F50D84299F56B78E17D45044EC0A45218E6455D42D1C2A65 |
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 | 16F407E9253555312E844C97E4B33F6B |
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 | lp153.2.1 |
PackageVersion | 1.0.2 |
SHA-1 | 8B338D03650E85312D4FC9D890488D7C459E20E0 |
SHA-256 | 98C6A74BC879C364AEB8F800B22A100D8024E89789A2A79AB86E3300C5C2B48F |