Subgroup discovery toolkit for Orange
The subgroup discovery toolkit for Orange implements three algorithms for subgroup discovery: SD, CN2-SD and Apriori-SD, two visualization methods: the BAR and the ROC visualization and six evaluation measures for subgroup discovery.
It is distributed free under GPL and can be downloaded from this web page.
One needs to have Orange installed and working. Orange is
available for download at here.
In order for the PMML functionality to work, one also needs to have
pyxml installed. The version for Python 2.5 is available
Zip file: SubgroupDiscovery_v1.0.1.zip (released on November 3, 2008)
Subgroup discovery schema 1:
Subgroup BAR vizualization from Schema 1:
Subgroup ROC vizualization from Schema 1:
Scatter plot vizualization from Schema 1:
Subgroup discovery evaluation schema:
Subgroup evaluation from the evaluation schema:
Petra Kralj Novak(1), Nada Lavrač(1)
Petra Kralj Novak
|Last update: 20090210|