@prefix this: <https://w3id.org/np/RAxlDC7tosZR2dA4SCZIftkxycfEn9SMfUsWM5GCkqC9E> .
@prefix sub: <https://w3id.org/np/RAxlDC7tosZR2dA4SCZIftkxycfEn9SMfUsWM5GCkqC9E#> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix pav: <http://purl.org/pav/> .
@prefix nt: <https://w3id.org/np/o/ntemplate/> .
@prefix npx: <http://purl.org/nanopub/x/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix orcid: <https://orcid.org/> .
@prefix ns1: <http://purl.org/np/> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

sub:Head {
  this: np:hasAssertion sub:assertion;
    np:hasProvenance sub:provenance;
    np:hasPublicationInfo sub:pubinfo;
    a np:Nanopublication .
}

sub:assertion {
  <http://id.crossref.org/issn/2451-8492> dct:title "Data Science" .
  
  <https://doi.org/10.3233/DS-240059> dct:abstract "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.";
    dct:date "2024";
    dct:hasPart <https://w3id.org/kpxl/ios/ds/np/RA4SqymT32eltSYbr41lDKMBV3Zr8nEBEXRFhfOrN6f3k>;
    dct:isPartOf <http://id.crossref.org/issn/2451-8492>;
    dct:title "Measuring Data Drift with the Unstable Population Indicator";
    pav:authoredBy orcid:0000-0003-2581-8370, orcid:0009-0003-5030-0108;
    a <http://purl.org/spar/fabio/ResourcePaper> .
  
  orcid:0000-0003-2581-8370 <http://schema.org/affiliation> <https://ror.org/04dkp9463>,
      <https://ror.org/05xvt9f17>;
    <http://schema.org/email> "datascience@marcelhaas.com";
    a foaf:Person;
    foaf:name "Marcel R. Haas" .
  
  orcid:0009-0003-5030-0108 <http://schema.org/affiliation> <https://ror.org/04b8v1s79>,
      <https://ror.org/04dkp9463>;
    <http://schema.org/email> "L.Sibbald@tilburguniversity.edu";
    a foaf:Person;
    foaf:name "Lisette Sibbald" .
  
  <https://ror.org/04b8v1s79> a foaf:Organization;
    foaf:name "Department of Methodology and Statistics and Department of Cognitive Neuropsychology, Tilburg University, Prof. Cobbenhagenlaan 125, 5037 DB Tilburg, The Netherlands" .
  
  <https://ror.org/04dkp9463> a foaf:Organization;
    foaf:name "Business Intelligence, University of Amsterdam, Spui 21, 1012WX Amsterdam, The Netherlands" .
  
  <https://ror.org/05xvt9f17> a foaf:Organization;
    foaf:name "Public Health and Primary Care, Leiden University Medical Center, Albinusdreef 2, The Netherlands" .
}

sub:provenance {
  sub:assertion prov:wasAttributedTo orcid:0000-0003-2581-8370, orcid:0009-0003-5030-0108 .
}

sub:pubinfo {
  orcid:0000-0002-1267-0234 foaf:name "Tobias Kuhn" .
  
  sub:sig npx:hasAlgorithm "RSA";
    npx:hasPublicKey "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCjDGQCS1S+SRnERDuYDXOugdYUP0efEquHJEEHAbU/uLzBVlga89zqrNPCS7fBE6lArBUWEmT8eLKdMapyqvAzI1J3jUWTMhDJF+XFBkUiuiFfNSc4vJJcmi0yujtnuzXsRIG202jyaP4f5ULoskFwaZOSBZJfiE0dsB3D7DTIAQIDAQAB";
    npx:hasSignature "ZbXXfjYdfOy3LJfriJd7gRtxVs2e611Y5bOV2cjaBn1U/k6qczNBah4gj7GGToAbaFOnPr2QdIvPbSeP1IX8cwupKGCacD0dpCoWmd5ovI4XE1A83W4sSC/zsBf2S1rQ0f/hCjb2ltQ6HrCgIAZEFeC389PDrP33UbihUkE6rIc=";
    npx:hasSignatureTarget this:;
    npx:signedBy orcid:0000-0002-1267-0234 .
  
  this: dct:created "2024-02-29T09:56:20.312Z"^^xsd:dateTime;
    dct:creator orcid:0000-0002-1267-0234;
    dct:license <https://creativecommons.org/licenses/by/4.0/>;
    npx:hasNanopubType <http://purl.org/spar/fabio/ScholarlyWork>, <https://w3id.org/kpxl/ios/ds/terms/DataScienceNanopub>;
    npx:introduces <https://doi.org/10.3233/DS-240059>;
    npx:supersedes <https://w3id.org/np/RAf7jLWJEYn21DT5QrBySMfO6wIHrlDohMW8hNQ51a9Y8>;
    npx:wasCreatedAt <https://nanodash.petapico.org/>;
    rdfs:label "Article: Measuring Data Drift with the Unstable Population Indicator";
    nt:wasCreatedFromProvenanceTemplate ns1:RAi6zZAwhaJ23Hzg4lIjlPir6Take3ZQp-lS9skfBEwfQ;
    nt:wasCreatedFromPubinfoTemplate ns1:RAA2MfqdBCzmz9yVWjKLXNbyfBNcwsMmOqcNUxkk1maIM,
      ns1:RAh1gm83JiG5M6kDxXhaYT1l49nCzyrckMvTzcPn-iv90, ns1:RAjpBMlw3owYhJUBo3DtsuDlXsNAJ8cnGeWAutDVjuAuI,
      <https://w3id.org/np/RA5R_qv3VsZIrDKd8Mr37x3HoKCsKkwN5tJVqgQsKhjTE>;
    nt:wasCreatedFromTemplate <https://w3id.org/np/RAhPFxesdOZq-w6Z8VBfc1aV9hfN6c5FnJ7XjR0dAMn_I> .
}