Difference between revisions of "Orange: CN2 Rule Viewer"

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     Data: dataset to filter
 
     Data: dataset to filter
 
 
     CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules
 
     CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules
  

Revision as of 08:07, 23 January 2020

Sumber: https://docs.biolab.si//3/visual-programming/widgets/visualize/cn2ruleviewer.html


CN2 Rule Viewer

Inputs

   Data: dataset to filter
   CN2 Rule Classifier: CN2 Rule Classifier, including a list of induced rules

Outputs

   Filtered Data: data instances covered by all selected rules

A widget that displays CN2 classification rules. If data is also connected, upon rule selection, one can analyze which instances abide to the conditions.

CN2RuleViewer-stamped.png
   Original order of induced rules can be restored.
   When rules are many and complex, the view can appear packed. For this reason, compact view was implemented, which allows a flat presentation and a cleaner inspection of rules.
   Click Report to bring up a detailed description of the rule induction algorithm and its parameters, the data domain, and induced rules.

Additionally, upon selection, rules can be copied to clipboard by pressing the default system shortcut (ctrl+C, cmd+C).

Contoh

In the schema below, the most common use of the widget is presented. First, the data is read and a CN2 rule classifier is trained. We are using titanic dataset for the rule construction. The rules are then viewed using the Rule Viewer. To explore different CN2 algorithms and understand how adjusting parameters influences the learning process, Rule Viewer should be kept open and in sight, while setting the CN2 learning algorithm (the presentation will be updated promptly).

CN2-Viewer-Example1.png

Selecting a rule outputs filtered data instances. These can be viewed in a Data Table.



Referensi

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