{"id":"https://openalex.org/W2137539029","doi":"https://doi.org/10.1109/icdm.2003.1250975","title":"Comparing naive Bayes, decision trees, and SVM with AUC and accuracy","display_name":"Comparing naive Bayes, decision trees, and SVM with AUC and accuracy","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W2137539029","doi":"https://doi.org/10.1109/icdm.2003.1250975","mag":"2137539029"},"language":"en","primary_location":{"id":"doi:10.1109/icdm.2003.1250975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069858475","display_name":"Jin Huang","orcid":"https://orcid.org/0000-0003-2285-5248"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"J. Huang","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086399677","display_name":"Jun L\u00fc","orcid":"https://orcid.org/0000-0001-6085-0902"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. Lu","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027158588","display_name":"Charles X. Ling","orcid":"https://orcid.org/0000-0003-3797-1348"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"C.X. Ling","raw_affiliation_strings":["Department of Computer Science, University of Western Ontario, London, ONT, Canada","[Department of Computer Science, University of Western Ontario, London, ONT, Canada]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"[Department of Computer Science, University of Western Ontario, London, ONT, Canada]","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069858475"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":7.4008,"has_fulltext":false,"cited_by_count":235,"citation_normalized_percentile":{"value":0.97013344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"553","last_page":"556"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7858247756958008},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7650195360183716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7088254690170288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.704739511013031},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6810290217399597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6372385025024414},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6111675500869751},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5721726417541504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5428324937820435},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5089435577392578},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43144896626472473},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.22125685214996338}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7858247756958008},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7650195360183716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7088254690170288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.704739511013031},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6810290217399597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6372385025024414},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6111675500869751},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5721726417541504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5428324937820435},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5089435577392578},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43144896626472473},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.22125685214996338}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdm.2003.1250975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm.2003.1250975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Third IEEE International Conference on Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.141.751","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csd.uwo.ca/faculty/ling/papers/icdm03a.ps","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W653645961","https://openalex.org/W1489095897","https://openalex.org/W1499467920","https://openalex.org/W1504694836","https://openalex.org/W1507029541","https://openalex.org/W1509515766","https://openalex.org/W1514907448","https://openalex.org/W1524761913","https://openalex.org/W1537340563","https://openalex.org/W1549238650","https://openalex.org/W1585021961","https://openalex.org/W1585743408","https://openalex.org/W1596717185","https://openalex.org/W1625504505","https://openalex.org/W1770825568","https://openalex.org/W2058170734","https://openalex.org/W2084812512","https://openalex.org/W2102794349","https://openalex.org/W2125055259","https://openalex.org/W2135346934","https://openalex.org/W2135511047","https://openalex.org/W2153635508","https://openalex.org/W2155653793","https://openalex.org/W2170308301","https://openalex.org/W2170913656","https://openalex.org/W2172000360","https://openalex.org/W6621602042","https://openalex.org/W6629874031","https://openalex.org/W6630233695","https://openalex.org/W6630611256","https://openalex.org/W6631546530","https://openalex.org/W6634339819","https://openalex.org/W6635046684","https://openalex.org/W6636859864"],"related_works":["https://openalex.org/W4389954502","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W2417174640","https://openalex.org/W4224262160","https://openalex.org/W3120363735","https://openalex.org/W4214820172","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Predictive":[0],"accuracy":[1,119],"has":[2,39],"often":[3,10],"been":[4,40],"used":[5],"as":[6,42],"the":[7,15,27,30,106],"main":[8],"and":[9,89,120],"only":[11],"evaluation":[12],"criterion":[13],"for":[14,47],"predictive":[16],"performance":[17,49],"of":[18,50,78],"classification":[19],"or":[20,36],"data":[21,69,134],"mining":[22,70,135],"algorithms.":[23,52],"In":[24],"recent":[25],"years,":[26],"area":[28],"under":[29],"ROC":[31],"(receiver":[32],"operating":[33],"characteristics)":[34],"curve,":[35],"simply":[37],"AUC,":[38],"proposed":[41],"an":[43],"alternative":[44],"single-number":[45],"measure":[46,62],"evaluating":[48],"learning":[51,116],"We":[53,122],"proved":[54],"that":[55,86],"AUC":[56],"is,":[57],"in":[58,76,95,101,118,133],"general,":[59],"a":[60],"better":[61],"(defined":[63],"precisely)":[64],"than":[65],"accuracy.":[66,96],"Many":[67],"popular":[68],"algorithms":[71,117],"should":[72],"then":[73],"be":[74],"reevaluated":[75],"terms":[77],"AUC.":[79],"For":[80],"example,":[81],"it":[82],"is":[83],"well":[84],"accepted":[85],"Naive":[87],"Bayes":[88],"decision":[90],"trees":[91],"are":[92],"very":[93],"similar":[94],"How":[97],"do":[98],"they":[99],"compare":[100,113],"AUC?":[102,121],"Also,":[103],"how":[104],"does":[105],"recently":[107],"developed":[108],"SVM":[109],"(support":[110],"vector":[111],"machine)":[112],"to":[114],"traditional":[115],"will":[123,129],"answer":[124],"these":[125],"questions.":[126],"Our":[127],"conclusions":[128],"provide":[130],"important":[131],"guidelines":[132],"applications":[136],"on":[137],"real-world":[138],"datasets.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
