2. Getting Started: Retrieve and Apply a Model to a Data Set

Created: 2011-01-17 08:50:27      Last updated: 2011-01-19 09:46:40

This getting started process demonstrates how to load (retrieve) a model from the repository and apply it to a data set. The result is a data set (at the lab output for "labeled data" ) with has a new "prediction" attribute which indicated the prediction for each example (ie. row/record).

You will need to adjust the path of the retrieve data operator to the actual location where the model is stored by a previews execution of the "1. Getting Started: Learn and Store a Model" process (or execute the disabled operator at the top of the process).


Tags: Rapidminer, retrieve data, repository, model , apply, load data

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 (7)

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 (0)

No comments yet

Log in to make a comment

Workflow Other workflows that use similar services (0)

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