DUGiDocsImbalanced dataset for benchmarking
dc.contributor.author
dc.date.accessioned
2018-01-24T08:06:02Z
dc.date.available
2018-01-24T08:06:02Z
dc.date.issued
2016-09-03
dc.identifier.uri
dc.description
Instruccions per obrir els fitxers: cal concatenar els fitxers per crear el fitxer original. Dps es pot descomprimir amb tar al linux i amb 7zip al windows. Amb Linux console: cat file1 file2 file3 ... > file.tar.gz, descomprimir: tar -xzf file.tar.gz. I amb windows console: type file1 file2 file3 ... > file.tar.gz, descomprimir amb 7zip
dc.description.abstract
The different algorithms of the "imbalanced-learn" toolbox are evaluated on a set of common dataset, which are more or less balanced. These benchmark have been proposed in Ding, Zejin, "Diversified Ensemble Classifiers for H ighly Imbalanced Data Learning and their Application in Bioinformatics." Dissertation, Georgia State University, (2011)
dc.format.mimetype
application/gzip
dc.language.iso
eng
dc.publisher
Zenodo
dc.relation.ispartofseries
Dades de recerca
dc.rights
Attribution Share-Alike for Databases
dc.rights.uri
dc.subject
dc.title
Imbalanced dataset for benchmarking
dc.type
Dataset
info:eu-repo/semantics/other
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi