Optimizing Discretization

Created: 2010-06-18 08:04:32      Last updated: 2010-06-18 08:04:33

This process generates a decision tree on the Iris data set. Before the decision tree is generated, the input attributes are discretised so we only work on nominal attributes. We use a combination of "Select Subprocess" and "Optimize Parameters" to select the best out of five different discretizazion methods independently for each of the attributes. The process shows, that the resulting accuracy heavily depends on the choice of the method. It varies between 64% and 94%.

Information Preview

Information Run

Not available

Information Workflow Components


Information Workflow Type


Information Uploader

Information License

All versions of this Workflow are licensed under:

Information Version 1 (of 1)

Information Credits (0)



Information Attributions (0)



Information Tags (0)


Log in to add Tags

Information Shared with Groups (0)


Information Featured In Packs (0)


Log in to add to one of your Packs

Information Attributed By (0)



Information Favourited By (0)

No one

Information Statistics


Citations (0)


Version History

In chronological order:

Reviews Reviews (0)

No reviews yet

Be the first to review!

Comments Comments (1)

Log in to make a comment

  • Sunday 03 April 2011 20:36:23 (UTC)

     Hi Simon

    how do I open the workflow chart?

    Can you post the whole process?




Workflow Other workflows that use similar services (0)

There are no workflows in myExperiment that use similar services to this Workflow.