{"id":"https://openalex.org/W7117547713","doi":"https://doi.org/10.1109/icic68054.2025.11309491","title":"Performance Evaluation of Classification Multi Algorithms on Small Dataset: A Comparative-Based Analysis","display_name":"Performance Evaluation of Classification Multi Algorithms on Small Dataset: A Comparative-Based Analysis","publication_year":2025,"publication_date":"2025-10-09","ids":{"openalex":"https://openalex.org/W7117547713","doi":"https://doi.org/10.1109/icic68054.2025.11309491"},"language":"en","primary_location":{"id":"doi:10.1109/icic68054.2025.11309491","doi":"https://doi.org/10.1109/icic68054.2025.11309491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icic68054.2025.11309491","pdf_url":null,"source":{"id":"https://openalex.org/S4306498392","display_name":"International Conference on Informatics and Computing (ICIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Tenth International Conference on Informatics and Computing (ICIC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5031724764","display_name":"Agus Wantoro","orcid":"https://orcid.org/0000-0002-0314-7492","observed_orcids":["https://orcid.org/0000-0002-0314-7492"]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Agus Wantoro","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121559857","display_name":"Zulkifli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Zulkifli","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093764911","display_name":"Panji Bintoro","orcid":"https://orcid.org/0000-0002-2955-1872","observed_orcids":["https://orcid.org/0000-0002-2955-1872"]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Panji Bintoro","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005397008","display_name":"Tahta Herdian Andika","orcid":"https://orcid.org/0000-0001-7009-6114","observed_orcids":["https://orcid.org/0000-0001-7009-6114"]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tahta Herdian Andika","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078664001","display_name":"Ferly Ardhy","orcid":"https://orcid.org/0000-0001-9161-4777","observed_orcids":["https://orcid.org/0000-0001-9161-4777"]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ferly Ardhy","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121595713","display_name":"Arif Nurul Al Aziz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4400573217","display_name":"Aisyah University","ror":"https://ror.org/05vwjwk52","country_code":"ID","type":"education","lineage":["https://openalex.org/I4400573217"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arif Nurul Al Aziz","raw_affiliation_strings":["Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Aisyah Pringsewu, Informatics Engineering,Department of Technology and Informatics,Pringsewu,Indonesia","institution_ids":["https://openalex.org/I4400573217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4400573217"],"apc_list":null,"apc_paid":null,"fwci":1.5793,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84464234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.02370000071823597,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.007899999618530273,"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/classifier-comparison","display_name":"classifier comparison","score":0.8500000238418579},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.9150000214576721},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8970000147819519},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8379999995231628},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":1.0},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.9980000257492065},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9819999933242798},{"id":"https://openalex.org/keywords/cross-validation","display_name":"cross-validation","score":0.8939999938011169},{"id":"https://openalex.org/keywords/model-evaluation","display_name":"model evaluation","score":0.6269999742507935},{"id":"https://openalex.org/keywords/feature-types","display_name":"feature types","score":0.4300000071525574},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.5709999799728394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641000151634216},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7179999947547913},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7139000296592712},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6567000150680542},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6040999889373779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5867999792098999},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5698999762535095},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4812000095844269},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4740000069141388},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45260000228881836},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.3222000002861023},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icic68054.2025.11309491","doi":"https://doi.org/10.1109/icic68054.2025.11309491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icic68054.2025.11309491","pdf_url":null,"source":{"id":"https://openalex.org/S4306498392","display_name":"International Conference on Informatics and Computing (ICIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Tenth International Conference on Informatics and Computing (ICIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2596340169","https://openalex.org/W2732893759","https://openalex.org/W2912118475","https://openalex.org/W3113977371","https://openalex.org/W4210667080","https://openalex.org/W4223997088","https://openalex.org/W4322604126","https://openalex.org/W4362584214","https://openalex.org/W4380577623","https://openalex.org/W4392108782","https://openalex.org/W4403797715","https://openalex.org/W4403907266","https://openalex.org/W4407128762"],"related_works":["https://openalex.org/W2991209718","https://openalex.org/W7143532412","https://openalex.org/W4415610145","https://openalex.org/W7128298870","https://openalex.org/W4408508829","https://openalex.org/W4400985401","https://openalex.org/W1562242405","https://openalex.org/W2583496330","https://openalex.org/W7152086057","https://openalex.org/W7217232033"],"abstract_inverted_index":{"This":[0,138],"research":[1],"aims":[2],"to":[3,120,131],"evaluate":[4],"and":[5,35,53,69,92,104,145,164],"compare":[6],"the":[7,59,76,80,121,125,159],"performance":[8,63,136],"of":[9,15,75,127,161],"various":[10],"classification":[11,150],"algorithms":[12,20,95,151],"under":[13,171],"conditions":[14],"small":[16],"dataset":[17],"quantity.":[18],"Six":[19],"were":[21,47,55],"tested,":[22],"namely":[23],"Na\u00cfve":[24],"Bayes,":[25],"Support":[26],"Vector":[27],"Machine":[28],"(SVM),":[29],"Decision":[30],"Tree,":[31],"Random":[32,93,102],"Forest,":[33],"AdaBoost,":[34],"k-NN":[36],"against":[37],"three":[38],"small-scale":[39,153],"public":[40],"datasets":[41],"from":[42],"different":[43],"domains.":[44],"The":[45,73,90],"experiments":[46],"conducted":[48],"using":[49],"cross-validation":[50],"techniques":[51,163],"(k-fold=5),":[52],"evaluations":[54],"performed":[56],"based":[57],"on":[58],"confusion":[60],"matrix":[61],"for":[62,143,152],"accuracy,":[64],"precision,":[65],"recall,":[66],"F1-score,":[67],"AUC,":[68],"model":[70,169],"computation":[71],"time.":[72],"results":[74],"study":[77],"show":[78],"that":[79,117],"Naive":[81,105],"Bayes":[82,106],"algorithm":[83,116],"excels":[84],"in":[85,97,108,147,167],"all":[86,98],"feature":[87,99],"number":[88],"datasets.":[89],"SVM":[91],"Forest":[94,103],"excel":[96,107],"text,":[100],"while":[101],"mix":[109],"feature.":[110],"Each":[111],"user":[112],"should":[113],"choose":[114],"an":[115],"is":[118],"tailored":[119],"data":[122,165,172],"used.":[123],"Additionally,":[124],"use":[126],"Cross-Validation":[128],"has":[129],"proven":[130],"provide":[132],"a":[133],"more":[134],"reliable":[135],"estimation.":[137],"finding":[139],"provides":[140],"practical":[141],"recommendations":[142],"researchers":[144],"practitioners":[146],"selecting":[148],"effective":[149],"datasets,":[154],"as":[155,157],"well":[156],"highlighting":[158],"importance":[160],"validation":[162],"processing":[166],"improving":[168],"generalization":[170],"limitations.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2025-12-30T00:00:00"}