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# Description file of Rseslib package for Weka # # # Package name (required) PackageName=Rseslib # Version (required) Version=3.3.1-SNAPSHOT #Date Date=2023-01-30 # Title (required) Title=Rough Sets and Analogy-Based Reasoning Category=Classification # Author (required) Author=Arkadiusz Wojna,Grzegorz Gora,Wiktor Gromniak,Marcin Jalmuzna,Michal Kurzydlowski,Rafal Latkowski,Marcin Piliszczuk,Beata Zielosko # Maintainer (required) Maintainer=Arkadiusz Wojna <firstname.lastname@example.org> # License (required) License=GPL 3.0 # Description (required) Description=The package provides 4 classifiers. The rule classifier RoughSet uses the concepts of discernibility matrix, reducts and rules generated from reducts. \ It provides variety of algorithms generating reducts including giving more general rules local reducts and has modes to work with incomplete data and inconsistent data. \ The k nearest neighbors classifier RseslibKnn provides variety of distance measures that can work also for data with both numeric and nominal attributes and has built-in k optimization. \ It implements a fast neighbors searching algorithm making the classifier work for very large data sets. The classifier has also the mode to work as RIONA algorithm. \ The LocalKnn classifier is the extension of the k nearest neighbors method that induces a local metric for each classified object. \ It is dedicated rather to large data sets (2000+ training instances) and improves accuracy particularly in case of data containing nominal attributes. \ The RIONIDA classifier dedicated to imbalanced data with two decision classes combines instance-based learning with rule induction. It enables to differentiate the importance of the decisions \ and to control the impact of rules on the decision selection process and applies multi-dimensional optimization of classification measures relevant for imbalanced data. # Package URL for obtaining the package archive (required) PackageURL=https://github.com/awojna/Rseslib/releases/download/v3.3.0/rseslib-3.3.0-weka.zip # URL for further information URL=http://rseslib.mimuw.edu.pl # Dependencies Depends=weka (>=3.8.0)
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