CN2 Rule Viewer

../../_images/cn2ruleviewer.png

CN2 Rule Viewer

Signals

Inputs:

  • Data

    Data set to filter.

  • CN2 Rule Classifier

    CN2 Rule Classifier, including a list of induced rules.

Outputs:

  • Filtered Data

    If data is connected, upon active selection (at least one rule is selected), filtered data is emitted. Output are data instances covered by all selected rules.

Description

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

../../_images/CN2RuleViewer-stamped.png
  1. Original order of induced rules can be restored.
  2. 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.
  3. 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).

Examples

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 data set for the rule constrution. 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).

../../_images/CN2-Viewer-Example1.png

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