Weka package for KNN undersampling.
Based on code from here:
https://github.com/fracpete/knn-undersampling-weka-package
Filter options:
-k <number of references>
Number of Nearest Neighbors (default 5).
-s <classname + options>
Nearest Neighbors search method to use (default LinearNNSearch).
-t <Threshold decision>
Threshold decision to remove, based in the count of neighbors belonging to another class (default 1).
-w <Index of majority class>
Index of majority class, starting with 0 (default 0).
Use the following dependency in your pom.xml:
<dependency>
<groupId>com.github.fracpete</groupId>
<artifactId>knn-undersampling-weka-package</artifactId>
<version>2021.10.17</version>
<type>jar</type>
<exclusions>
<exclusion>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>weka-dev</artifactId>
</exclusion>
</exclusions>
</dependency>For more information on how to install the package, see:
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