{"id":"https://openalex.org/W7214005477","doi":"https://doi.org/10.5281/zenodo.22904255","title":"Partial Dependence Beyond the Data: Support Diagnostics and Common-Reference Feature Effects (research archive)","display_name":"Partial Dependence Beyond the Data: Support Diagnostics and Common-Reference Feature Effects (research archive)","publication_year":2026,"publication_date":"2026-09-22","ids":{"openalex":"https://openalex.org/W7214005477","doi":"https://doi.org/10.5281/zenodo.22904255"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.22904255","doi":"https://doi.org/10.5281/zenodo.22904255","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22904255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"volume":null,"type":"software","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.22904255","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060235303","display_name":"Michael B\u00fccker","orcid":"https://orcid.org/0000-0003-0045-8460","observed_orcids":["https://orcid.org/0000-0003-0045-8460"]},"institutions":[{"id":"https://openalex.org/I63274643","display_name":"FH M\u00fcnster University of Applied Sciences","ror":"https://ror.org/00pv45a02","country_code":"DE","type":"education","lineage":["https://openalex.org/I63274643"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"B\u00fccker, Michael","raw_affiliation_strings":["FH M\u00fcnster, M\u00fcnster School of Business"],"raw_orcid":"https://orcid.org/0000-0003-0045-8460","affiliations":[{"raw_affiliation_string":"FH M\u00fcnster, M\u00fcnster School of Business","institution_ids":["https://openalex.org/I63274643"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060235303"],"corresponding_institution_ids":["https://openalex.org/I63274643"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/partial-dependence-plots","display_name":"partial dependence plots","score":0.9829999804496765},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.4860000014305115},{"id":"https://openalex.org/keywords/abstention","display_name":"abstention","score":0.5210000276565552}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7019000053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341999769210815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5472000241279602},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5425000190734863},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4993000030517578},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39480000734329224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3896999955177307},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C128394911","wikidata":"https://www.wikidata.org/wiki/Q1987578","display_name":"Unit interval","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C162372511","wikidata":"https://www.wikidata.org/wiki/Q218341","display_name":"Checksum","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C60478076","wikidata":"https://www.wikidata.org/wiki/Q3036835","display_name":"Reference data","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C2777175534","wikidata":"https://www.wikidata.org/wiki/Q222288","display_name":"Verisimilitude","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2614000141620636},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.22904255","doi":"https://doi.org/10.5281/zenodo.22904255","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22904255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},{"id":"doi:10.5281/zenodo.22904256","doi":"https://doi.org/10.5281/zenodo.22904256","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22904256","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"}],"best_oa_location":{"id":"doi:10.5281/zenodo.22904255","doi":"https://doi.org/10.5281/zenodo.22904255","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22904255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Software"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7202359774","https://openalex.org/W3198893999","https://openalex.org/W2957086450","https://openalex.org/W3198497530","https://openalex.org/W3198183881","https://openalex.org/W2973614890","https://openalex.org/W4362692773","https://openalex.org/W6920917941","https://openalex.org/W4399649319","https://openalex.org/W7134907523"],"abstract_inverted_index":{"Research":[0],"code,":[1],"simulation":[2,106],"pipeline,":[3,110],"and":[4,15,44,65,79,82,114,122,158,169],"manuscript":[5,117],"sources":[6],"accompanying":[7],"Partial":[8],"Dependence":[9],"Beyond":[10],"the":[11,30,115,135,162],"Data:":[12],"Support":[13],"Diagnostics":[14],"Common-Reference":[16],"Feature":[17],"Effects.":[18],"Partial-dependence":[19],"plots":[20],"may":[21],"evaluate":[22],"a":[23,47,54,108],"fitted":[24],"model":[25],"at":[26],"feature":[27],"combinations":[28],"that":[29,37,87],"data":[31,150],"represent":[32],"poorly.":[33],"This":[34],"archive":[35,103],"turns":[36],"problem":[38],"into":[39],"an":[40,70,83],"explicit":[41,93],"support":[42],"audit":[43,85],"characterizes":[45],"when":[46,95],"single":[48],"reference":[49,98],"population":[50],"remains":[51],"valid":[52],"over":[53],"displayed":[55],"grid.":[56],"It":[57],"contains":[58],"in-support-coverage":[59],"(ISC),":[60],"hard":[61],"common-support":[62],"partial-dependence":[63],"(CSPD),":[64],"relaxed":[66],"common-reference":[67],"(RCPD)":[68],"estimators,":[69],"exact":[71],"empirical":[72],"solver":[73],"for":[74,161],"interval":[75],"validity,":[76],"ALE,":[77],"conditional-curve":[78],"subgroup-PDP":[80],"baselines,":[81],"independent":[84],"split":[86],"certifies":[88],"simultaneous":[89],"query":[90],"validity":[91],"with":[92],"abstention":[94],"no":[96],"candidate":[97],"can":[99,130],"be":[100,131],"certified.":[101],"The":[102,137],"includes":[104],"34":[105],"studies,":[107],"targets":[109],"229":[111],"unit":[112],"tests,":[113],"Quarto":[116],"sources.":[118],"Stored":[119],"target":[120],"objects":[121],"figure":[123],"panels":[124],"are":[125],"included,":[126],"so":[127],"both":[128],"PDFs":[129],"re-rendered":[132],"without":[133],"rerunning":[134],"pipeline.":[136],"R":[138],"environment":[139],"is":[140,151],"pinned":[141],"in":[142],"renv.lock":[143],"(R":[144],"4.5.3,":[145],"79":[146],"packages).":[147],"No":[148],"raw":[149],"redistributed.":[152],"data/README.md":[153],"provides":[154],"download":[155],"commands,":[156],"licences,":[157],"SHA-256":[159],"checksums":[160],"Wine":[163],"Quality,":[164],"Bank":[165],"Marketing,":[166],"Online":[167],"Shoppers,":[168],"California":[170],"Housing":[171],"datasets.":[172]},"counts_by_year":[],"updated_date":"2026-10-09T09:14:12.587421","created_date":"2026-09-23T00:00:00"}
