PRROC 1.3.1-foss-2020a-R-4.0.0Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method. References: Davis and Goadrich (2006)
Accessing PRROC 1.3.1-foss-2020a-R-4.0.0
To load the module for PRROC 1.3.1-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load PRROC/1.3.1-foss-2020a-R-4.0.0
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- PRROC 1.3.1
For more information visit the PRROC website.
This version of PRROC is a direct dependent of: DROP/1.0.3-foss-2020a-Python-3.8.2-R-4.0.0
Last modified on 26th January 2021