| Name : R-supervisedPRIM
| |
| Version : 2.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.9.4
| Date : 2024-06-14 11:46:28
|
| Group : Development/Libraries/Other
| Source RPM : R-supervisedPRIM-2.0.0-lp153.9.4.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Supervised Classification Learning and Prediction using Patient Rule Induction Method (PRIM)
|
Description :
The Patient Rule Induction Method (PRIM) is typically used for \"bump
hunting\" data mining to identify regions with abnormally high
concentrations of data with large or small values. This package extends
this methodology so that it can be applied to binary classification
problems and used for prediction.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
