are shortly described
and available below: CORElearn,
SemiArtificial and ExplainPrediction. The
software is available under the
GNU public license
(GPLv3 or later).
options are available.
explanation of predictions and some machine learning
utilities. The source code
and binaries of the learning
system CORElearn can be downloaded
Some of the functionality
and features are described in my papers.
The R package
also to the standalone
to R system available via CRAN: sources and also
Windows, Linux, and OS X)
- the latest development
08 February, 2020: CORElearn_1.56.0.tar.gz
version (version 0.9.44, 25 January, 2015) consists
of the same C++ code, plus compilation
instructions, parameters file, data format description, and same sample testing
data. It is tested to compile with
gcc and msvc
and contains Windows executable. It may
be older than
the R port, mail me if you
need a fresh
one. To compile the sources
ReadMe.htm file first. Supported data input
formats are C4.5, C5, and native format. The
system is tested
to compile and run on Windows
and Linux. The documentation is available through
R, just install
and type ?CORElearn at R prompt.
new data based
on the properties of an existing data set is available via CRAN. Current version is semiArtificial 2.4.1
(23 September 2021). The working principles
are described in my papers.
of predictions of a given prediction
model. Two explanation
methods (EXPLAIN and IME) and two levels
of prediction explanations are available:
- an instance level explanation,
contributions of features to the
decision of the model for individual instance,
- a model level explanation,
explanations of individual instances
to create a summary
explanation of the whole
is available via CRAN. Current development
version is ExplainPrediction
1.3.0 (07 January, 2018). The working
principles are described in my papers.
Home page of Marko Robnik Šikonja.