| Author: | | Mark Hall, Peter Reutemann |
| Category: | | Attribute selection |
| Changes: | | This release adds an option to specify the evaluation metric to use - accuracy, rmse, auc, f-measure etc. There is now an option to allow evaluation via a percentage split on the training data and another to enable debugging output. |
| Date: | | 2013-06-20 |
| Depends: | | weka (>=3.7.1) |
| Description: | | This package provides two classes - one for evaluating the merit of individual attributes using a classifier (ClassifierAttributeEval), and second for evaluating the merit of subsets of attributes using a classifier (ClassifierSubsetEval). Both invoke a user-specified classifier to perform the evaluation, either under cross-validation or on the training data. |
| License: | | GPL 3.0 |
| Maintainer: | | Weka team <wekalist{[at]}list.scms.waikato.ac.nz> |
| PackageURL: | | http://prdownloads.sourceforge.net/weka/classifierBasedAttributeSelection1.0.3.zip?download |
| Related: | | WrapperSubsetEval |
| URL: | | http://weka.sourceforge.net/doc.dev/weka/attributeSelection/ |
| Version: | | 1.0.3 |