| Name : R-ROCR
| |
| Version : 1.0.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.3.1
| Date : 2021-12-11 07:27:06
|
| Group : Development/Libraries/Other
| Source RPM : R-ROCR-1.0.11-lp154.3.1.src.rpm
|
| Size : 0.55 MB
| |
| Packager : (none)
| |
| Summary : Visualizing the performance of scoring classifiers
|
Description :
ROC graphs, sensitivity/specificity curves, lift charts, and
precision/recall plots are popular examples of trade-off visualizations
for specific pairs of performance measures. ROCR is a flexible tool for
creating cutoff-parameterized 2D performance curves by freely combining
two from over 25 performance measures (new performance measures can be
added using a standard interface). Curves from different
cross-validation or bootstrapping runs can be averaged by different
methods, and standard deviations, standard errors or box plots can be
used to visualize the variability across the runs. The parameterization
can be visualized by printing cutoff values at the corresponding curve
positions, or by coloring the curve according to cutoff. All components
of a performance plot can be quickly adjusted using a flexible
parameter dispatching mechanism. Despite its flexibility, ROCR is easy
to use, with only three commands and reasonable default values for all
optional parameters.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
