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author-list

Full identifier: https://w3id.org/kpxl/ios/ds/np/RAycIDLm2tX1wNxwg_utNBLnS4FTNYSxRhWyUJDT4HGts#author-list

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Minted in Nanopublication

Article: Measuring Data Drift with the Unstable Population Indicator DataScience ResourcePaper ScholarlyWork comment approve/disapprove edit as derived nanopublication create new with same template

https://doi.org/10.3233/DS-240059

doi:10.3233/DS-240059

http://www.w3.org/1999/02/22-rdf-syntax-ns#type is a http://purl.org/spar/fabio/ResourcePaper

resource paper

https://doi.org/10.3233/DS-240059

doi:10.3233/DS-240059

http://purl.org/dc/terms/title has the title (this is a literal)

"Measuring Data Drift with the Unstable Population Indicator"

https://doi.org/10.3233/DS-240059

doi:10.3233/DS-240059

http://purl.org/dc/terms/abstract has the abstract (this is a literal)

"Measuring data drift is essential in machine learning applications where model scoring (evaluation) is done on data samples that differ from those used in training. The Kullback-Leibler divergence is a common measure of shifted probability distributions, for which discretized versions are invented to deal with binned or categorical data. We present the Unstable Population Indicator, a robust, flexible and numerically stable, discretized implementation of Jeffrey's divergence, along with an implementation in a Python package that can deal with continuous, discrete, ordinal and nominal data in a variety of popular data types. We show the numerical and statistical properties in controlled experiments. It is not advised to employ a common cut-off to distinguish stable from unstable populations, but rather to let that cut-off depend on the use case."

https://doi.org/10.3233/DS-240059

doi:10.3233/DS-240059

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"2024"

https://doi.org/10.3233/DS-240059

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2451-8492

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2451-8492

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"Data Science"

https://doi.org/10.3233/DS-240059

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0000-0003-2581-8370

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0000-0003-2581-8370

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"Marcel R. Haas"

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0009-0003-5030-0108

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"Lisette Sibbald"

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0000-0003-2581-8370

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"datascience@marcelhaas.com"

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"L.Sibbald@tilburguniversity.edu"

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04b8v1s79

http://xmlns.com/foaf/0.1/name has the name (this is a literal)

"Department of Methodology and Statistics and Department of Cognitive Neuropsychology, Tilburg University, Prof. Cobbenhagenlaan 125, 5037 DB Tilburg, The Netherlands"

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http://xmlns.com/foaf/0.1/name has the name (this is a literal)

"Business Intelligence, University of Amsterdam, Spui 21, 1012WX Amsterdam, The Netherlands"

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05xvt9f17

http://xmlns.com/foaf/0.1/name has the name (this is a literal)

"Public Health and Primary Care, Leiden University Medical Center, Albinusdreef 2, The Netherlands"

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0000-0003-2581-8370

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04dkp9463

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0000-0003-2581-8370

0009-0003-5030-0108

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Tobias Kuhn

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Attribution 4.0 International (CC BY 4.0)

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doi:10.3233/DS-240059

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0000-0003-2581-8370

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0009-0003-5030-0108

https://orcid.org/0000-0002-1267-0234

Tobias Kuhn

http://xmlns.com/foaf/0.1/name has the name (this is a literal)

"Tobias Kuhn"

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"Article: Measuring Data Drift with the Unstable Population Indicator"

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RAeQJfX3lM

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RAA2MfqdBC

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doi:10.3233/DS-240059

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sig

http://purl.org/nanopub/x/signedBy is signed by https://orcid.org/0000-0002-1267-0234

Tobias Kuhn

This is the identifier for this whole nanopublication. https://w3id.org/kpxl/ios/ds/np/RAycIDLm2t... This nanopublication http://purl.org/nanopub/x/wasCreatedAt was created at https://nanodash.petapico.org/

nanodash.petapico.org

0000-0003-2581-8370 et al. (authors), Tobias Kuhn (creator), 12 Jul 2024, 07:34:39 UTC

References

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