| Name : R-visualpred
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.43.1
| Date : 2024-06-27 21:00:20
|
| Group : Development/Libraries/Other
| Source RPM : R-visualpred-0.1.0-lp154.43.1.src.rpm
|
| Size : 1.77 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Visualization 2D of Binary Classification Models
|
Description :
Visual 2D point and contour plots for binary classification modeling
under algorithms such as glm(), randomForest(), gbm(), nnet() and
svm(), presented over two dimensions generated by FAMD and MCA methods.
Package \'FactoMineR\' for multivariate reduction functions and package
\'MBA\' for interpolation functions are used. The package can be used to
visualize the discriminant power of input variables and algorithmic
modeling, explore outliers, compare algorithm behaviour, etc. It has
been created initially for teaching purposes, but it has also many
practical uses.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
