| Name : R-hyperSMURF
| |
| Version : 2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.8.11
| Date : 2024-06-14 12:06:45
|
| Group : Development/Libraries/Other
| Source RPM : R-hyperSMURF-2.0-lp153.8.11.src.rpm
|
| Size : 0.16 MB
| |
| Packager : (none)
| |
| Summary : Hyper-Ensemble Smote Undersampled Random Forests
|
Description :
Machine learning supervised method to learn rare genomic features in
imbalanced genetic data sets. This method can be also applied to
classify or rank examples characterized by a high imbalance between the
minority and majority class. hyperSMURF adopts a hyper-ensemble
(ensemble of ensembles) approach, undersampling of the majority class
and oversampling of the minority class to learn highly imbalanced data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
