Key | Value |
---|---|
FileName | ./usr/lib64/R/library/hmeasure/html/00Index.html |
FileSize | 2258 |
MD5 | 516043DD18FA50A29B89953E0B05F7B7 |
SHA-1 | 59F6C2412D444BDC1780CD308A5BECF8EE321917 |
SHA-256 | 3BADD2CCB99A74D3828D8ED01751BE93C171F2A60237E60E0652A2C7A3DF3410 |
SSDEEP | 48:lmIzYpmGK4ub++z+BP4t+it1Xt+AtQIavL4tNEKxt5p+tGg:1zMK4UqB8dTzegrWGg |
TLSH | T13D41CD86E1C1592FDA834D7491803EA6379307F4EB021D196DBF38F797827E4936228A |
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 |