oneClassClassifier

Performs one-class classification on a dataset. Classifier reduces the class being classified to just a single class, and learns the datawithout using any information from other classes. The testing stage will classify as 'target'or 'outlier' - so in order to calculate the outlier pass rate the dataset must contain informationfrom more than one class. Also, the output varies depending on whether the label 'outlier' exists in the instances usedto build the classifier. If so, then 'outlier' will be predicted, if not, then the label willbe considered missing when the prediction does not favour the target class. The 'outlier' classwill not be used to build the model if there are instances of this class in the dataset. It cansimply be used as a flag, you do not need to relabel any classes. For more information, see: Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases and 19th European Conference on Machine Learning, ECMLPKDD2008, Berlin, 505--519, 2008.

License

License

Categories

Categories

Weka Business Logic Libraries Machine Learning
GroupId

GroupId

nz.ac.waikato.cms.weka
ArtifactId

ArtifactId

oneClassClassifier
Last Version

Last Version

1.0.4
Release Date

Release Date

Type

Type

jar
Description

Description

oneClassClassifier
Performs one-class classification on a dataset. Classifier reduces the class being classified to just a single class, and learns the datawithout using any information from other classes. The testing stage will classify as 'target'or 'outlier' - so in order to calculate the outlier pass rate the dataset must contain informationfrom more than one class. Also, the output varies depending on whether the label 'outlier' exists in the instances usedto build the classifier. If so, then 'outlier' will be predicted, if not, then the label willbe considered missing when the prediction does not favour the target class. The 'outlier' classwill not be used to build the model if there are instances of this class in the dataset. It cansimply be used as a flag, you do not need to relabel any classes. For more information, see: Kathryn Hempstalk, Eibe Frank, Ian H. Witten: One-Class Classification by Combining Density and Class Probability Estimation. In: Proceedings of the 12th European Conference on Principles and Practice of Knowledge Discovery in Databases and 19th European Conference on Machine Learning, ECMLPKDD2008, Berlin, 505--519, 2008.
Project URL

Project URL

http://weka.sourceforge.net/doc.packages/oneClassClassifier
Project Organization

Project Organization

University of Waikato, Hamilton, NZ
Source Code Management

Source Code Management

https://svn.cms.waikato.ac.nz/svn/weka/tags/oneClassClassifier-1.0.4

Download oneClassClassifier

How to add to project

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>oneClassClassifier</artifactId>
    <version>1.0.4</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/
implementation 'nz.ac.waikato.cms.weka:oneClassClassifier:1.0.4'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/oneClassClassifier/
implementation ("nz.ac.waikato.cms.weka:oneClassClassifier:1.0.4")
'nz.ac.waikato.cms.weka:oneClassClassifier:jar:1.0.4'
<dependency org="nz.ac.waikato.cms.weka" name="oneClassClassifier" rev="1.0.4">
  <artifact name="oneClassClassifier" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='oneClassClassifier', version='1.0.4')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "oneClassClassifier" % "1.0.4"
[nz.ac.waikato.cms.weka/oneClassClassifier "1.0.4"]

Dependencies

compile (1)

Group / Artifact Type Version
nz.ac.waikato.cms.weka : weka-dev jar [3.7.1,)

test (2)

Group / Artifact Type Version
nz.ac.waikato.cms.weka : weka-dev test-jar [3.7.1,)
junit : junit jar 3.8.2

Project Modules

There are no modules declared in this project.

Versions

Version
1.0.4
1.0.3
1.0.2