| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/hmeasure/R/hmeasure.rdb |
| FileSize | 26429 |
| MD5 | 46D3CFBE666D749FEF85C60E68EB9E16 |
| SHA-1 | 08A6D1A460F62134D72877B4935D95D35D5B26C7 |
| SHA-256 | 6FB67BF3BFBC3D419EA01A590E93872237200531AABD23B22A10FC9BBE84D43B |
| SSDEEP | 768:GgASEkHOIL7XUpivvGBGj6zQIisrixmlrI:G7XIvkYvOGOzRioW |
| TLSH | T1BAC2D068D00F43C27878B80D7D8D7441ED8CC8E71E3EA086CD16A6E3D2CAE7662065A6 |
| 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 |