logo metaCost

This metaclassifier makes its base classifier cost-sensitive using the method specified in Pedro Domingos: MetaCost: A general method for making classifiers cost-sensitive. In: Fifth International Conference on Knowledge Discovery and Data Mining, 155-164, 1999. This classifier should produce similar results to one created by passing the base learner to Bagging, which is in turn passed to a CostSensitiveClassifier operating on minimum expected cost. The difference is that MetaCost produces a single cost-sensitive classifier of the base learner, giving the benefits of fast classification and interpretable output (if the base learner itself is interpretable). This implementation uses all bagging iterations when reclassifying training data (the MetaCost paper reports a marginal improvement when only those iterations containing each training instance are used in reclassifying that instance).

homepage: weka.sourceforge.net/doc.packages/metaCost
fresh index:
last release: 4 years ago, first release: 5 years ago
packaging: jar
get this artifact from: central
see this artifact on: search.maven.org

How much is this artifact used as a dependency in other Maven artifacts in Central repository and GitHub:
How many Android projects use it:
How is this artifact used:

© Jiri Pinkas 2015 - 2017. All rights reserved. Admin login To submit bugs / feature requests please use this github page
related: JavaVids | Top Java Blogs | Java školení | 4npm - npm search | monitored using: sitemonitoring
Apache and Apache Maven are trademarks of the Apache Software Foundation. The Central Repository is a service mark of Sonatype, Inc.