| Name : R-basemodels
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:04:59
|
| Group : Development/Libraries/Other
| Source RPM : R-basemodels-1.1.0-lp153.1.5.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Baseline Models for Classification and Regression
|
Description :
Providing equivalent functions for the dummy classifier and regressor
used in \'Python\' \'scikit-learn\' library. Our goal is to allow R users
to easily identify baseline performance for their classification and
regression problems. Our baseline models use no predictors, and are
useful in cases of class imbalance, multiclass classification, and when
users want to quickly identify how much improvement their statistical
and machine learning models are over several baseline models. We use a
\"better\" default (proportional guessing) for the dummy classifier than
the \'Python\' implementation (\"prior\", which is the most frequent class
in the training set). The functions in the package can be used on their
own, or introduce methods named \'dummy_regressor\' or \'dummy_classifier\'
that can be used within the caret package pipeline.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
