Crossvalidation with SVM

Created: 2010-04-29 16:42:49

Performs a crossvalidation on a given data set with nominal label, using a Support Vector Machine as a learning algorithm. Inside the cross validation, the first subprocess generates an SVM model, and the second subprocess evaluates it. applying it on a so-far unused subset of the data and counting the misclassifications.

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 (1)

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 (2)

Log in to make a comment

  • Thursday 25 August 2011 10:18:30 (UTC)

    I am new to rapidminer and I do not know how to get workflow from my experiment to rapidminer. When I press " Download Workflow File/Package (XML)" I get file without extension. Then I tried insert it to rapidminer with import process (with or without extensions xml, rmp) an it always gives error: content is not allowed in prolog.

    I would be very happy if somebody helps me.


  • Saturday 30 March 2013 06:58:54 (UTC)

    Hi Milan

    I am experiencing the same problem as well

    So my question is similar to Milan's how do we import workflow processes into RapidMiner once these have been download from


    Regards Michael

Workflow Other workflows that use similar services (0)

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