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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-2304-13933>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Danielle_Wilson>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jason_Nicholas_Kuruzovich>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Kofi_Arhin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Louis_Hickman>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Vincent_Ng>
foaf:homepage <http://dx.doi.org/doi.org%2F10.48550%2FarXiv.2304.13933>
foaf:homepage <https://doi.org/10.48550/arXiv.2304.13933>
dc:identifier DBLP journals/corr/abs-2304-13933 (xsd:string)
dc:identifier DOI doi.org%2F10.48550%2FarXiv.2304.13933 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Danielle_Wilson>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jason_Nicholas_Kuruzovich>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Kofi_Arhin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Louis_Hickman>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Vincent_Ng>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/journals/corr/abs-2304-13933/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/journals/corr/abs-2304-13933>
rdfs:seeAlso <http://dblp.uni-trier.de/db/journals/corr/corr2304.html#abs-2304-13933>
rdfs:seeAlso <https://doi.org/10.48550/arXiv.2304.13933>
dc:title Oversampling Higher-Performing Minorities During Machine Learning Model Training Reduces Adverse Impact Slightly but Also Reduces Model Accuracy. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/2304.13933 (xsd:string)