| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/hmeasure/help/aliases.rds |
| FileSize | 142 |
| MD5 | C82CAA9EF6EAD924FCB1899823581E95 |
| SHA-1 | 4E3261B81FFAFD46E52D88D042C7181C61F24C40 |
| SHA-256 | F864EFAA969E3DEC096DD31D957E71C343668ADF96B48563CBE469149C3BF484 |
| SSDEEP | 3:FttVFHIXgEF6cMsgFl8+TGnIPg9cMrXFa+ZgzhYA7HfzDFW8B+NmLln:XtVFoQEHgzunIlMrXg+ZgL7HfNBdln |
| TLSH | T13EC02B24012E0D18F01F037244CC6C6595CAC53296D441CE2030104664CCC4DCBC3248 |
| 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 |