Result for 61745F22614391F2A5B71B39CC81A8474BE46FFD

Query result

Key Value
FileName./usr/lib64/R/library/hmeasure/Meta/links.rds
FileSize190
MD563B2BF75C6BDC3B1A749925F04EEBB43
SHA-161745F22614391F2A5B71B39CC81A8474BE46FFD
SHA-256996D4FBD04CD3EB03BBB8446825600E2F7A2117E976DEFD80C84BC90D7A95970
SSDEEP3:FttVFHIXgEFxlx0+IO5KkK1hPs8DESnUucn/FADKpRKVLt7vtgsD00ryrAvmINPV:XtVFoQEMXO5KH1rDEYUucRKv7vfoS5vJ
TLSHT1CCC01248484A62D8E42713F50D84299F56B78E17D45044EC0A45218E6455D42D1C2A65
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
MD516F407E9253555312E844C97E4B33F6B
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
PackageReleaselp153.2.1
PackageVersion1.0.2
SHA-18B338D03650E85312D4FC9D890488D7C459E20E0
SHA-25698C6A74BC879C364AEB8F800B22A100D8024E89789A2A79AB86E3300C5C2B48F