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PBAC Scorer

KNIME Active Learning Plug-in version 4.0.0.v201905311239 by KNIME AG, Zurich, Switzerland

This node contains the default Prototype Based Active Classification (PBAC) implementation in a single node
For more information on PBAC see:
http://www.inf.uni-konstanz.de/bioml2/publications/Papers2009/CeBe09.pdf

Options

Exploitation Factor
The weighting factor between exploration and exploitation.
Radius Alpha
The radius alpha parameter for the node potential portion of PBAC.
Number of Neighbors
The number of neighbors considered by the kNN Learner.
Class Column (Port 1)
The column containing the class labels in the second input table.

Input Ports

All unlabeled
All labeled

Output Ports

Scored unlabeled

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Active Learning Plug-in from the following update site:

KNIME 4.0
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