Active Learning Uncertainty Sampling

This workflow shows an example of Active Learning. In this example we use scoring based on a previous prediction. and use an "Auto Active Learn Loop End" in order to choose the class for the best scoring sample. One can easily replace the "Auto Active Learn Loop End" with a default "Active Learn Loop End" to manually label the data. The "Auto Active Learn Loop End" should only be used for demonstration or benchmark purposes.

Active Learning Uncertainty Sampling

 

Resources

EXAMPLES Server: 04_Analytics/12_Active_Learning/03_Active_Learning_Uncertainty_Sampling04_Analytics/12_Active_Learning/03_Active_Learning_Uncertainty_Sampling*
Download a zip-archive

References:

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually