{"id":"https://openalex.org/W3044117128","doi":"https://doi.org/10.1155/2020/8581202","title":"Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks","display_name":"Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks","publication_year":2020,"publication_date":"2020-07-23","ids":{"openalex":"https://openalex.org/W3044117128","doi":"https://doi.org/10.1155/2020/8581202","mag":"3044117128"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8581202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8581202","pdf_url":"https://downloads.hindawi.com/journals/afs/2020/8581202.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/afs/2020/8581202.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089844476","display_name":"Peter Appiahene","orcid":"https://orcid.org/0000-0002-6098-4537"},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":true,"raw_author_name":"Peter Appiahene","raw_affiliation_strings":["Kwame Nkrumah University of Science and Technology, Kumasi, Ghana"],"raw_orcid":"https://orcid.org/0000-0002-6098-4537","affiliations":[{"raw_affiliation_string":"Kwame Nkrumah University of Science and Technology, Kumasi, Ghana","institution_ids":["https://openalex.org/I28046988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075557431","display_name":"Yaw Marfo Missah","orcid":"https://orcid.org/0000-0002-2926-681X"},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Yaw Marfo Missah","raw_affiliation_strings":["Kwame Nkrumah University of Science and Technology, Kumasi, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwame Nkrumah University of Science and Technology, Kumasi, Ghana","institution_ids":["https://openalex.org/I28046988"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058559943","display_name":"Ussiph Najim","orcid":null},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Ussiph Najim","raw_affiliation_strings":["Kwame Nkrumah University of Science and Technology, Kumasi, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kwame Nkrumah University of Science and Technology, Kumasi, Ghana","institution_ids":["https://openalex.org/I28046988"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089844476"],"corresponding_institution_ids":["https://openalex.org/I28046988"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":4.4586,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.94810214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10127","display_name":"Banking stability, regulation, efficiency","score":0.9607999920845032,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7902482748031616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7429291009902954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6667627692222595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.645382285118103},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6406389474868774},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6096957325935364},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5867897272109985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5736067891120911},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.4940033555030823},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44546499848365784},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4139474332332611},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22504687309265137},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18807145953178406}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7902482748031616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7429291009902954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6667627692222595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.645382285118103},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6406389474868774},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6096957325935364},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5867897272109985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736067891120911},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.4940033555030823},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44546499848365784},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4139474332332611},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22504687309265137},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18807145953178406},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2020/8581202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8581202","pdf_url":"https://downloads.hindawi.com/journals/afs/2020/8581202.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f04979fa95d34091b66c7a3afc03355b","is_oa":true,"landing_page_url":"https://doaj.org/article/f04979fa95d34091b66c7a3afc03355b","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Fuzzy Systems, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/8581202","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8581202","pdf_url":"https://downloads.hindawi.com/journals/afs/2020/8581202.pdf","source":{"id":"https://openalex.org/S117816480","display_name":"Advances in Fuzzy Systems","issn_l":"1687-7101","issn":["1687-7101","1687-711X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Fuzzy Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3044117128.pdf","grobid_xml":"https://content.openalex.org/works/W3044117128.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W155327113","https://openalex.org/W1497745524","https://openalex.org/W1519413825","https://openalex.org/W1829577139","https://openalex.org/W1971635712","https://openalex.org/W1990653740","https://openalex.org/W1995319408","https://openalex.org/W2000164913","https://openalex.org/W2000171345","https://openalex.org/W2007838263","https://openalex.org/W2010613714","https://openalex.org/W2033215185","https://openalex.org/W2050475101","https://openalex.org/W2055032460","https://openalex.org/W2055034726","https://openalex.org/W2068586653","https://openalex.org/W2076452041","https://openalex.org/W2076644303","https://openalex.org/W2092667551","https://openalex.org/W2104714048","https://openalex.org/W2129763896","https://openalex.org/W2294853825","https://openalex.org/W2396142046","https://openalex.org/W2399542702","https://openalex.org/W2568130765","https://openalex.org/W2598279293","https://openalex.org/W2734421735","https://openalex.org/W2756291343","https://openalex.org/W2769143121","https://openalex.org/W2831332674","https://openalex.org/W2918821272","https://openalex.org/W2923354459","https://openalex.org/W3007615437","https://openalex.org/W3007913130"],"related_works":["https://openalex.org/W2801360836","https://openalex.org/W2120745168","https://openalex.org/W4378625608","https://openalex.org/W2515668944","https://openalex.org/W3123375916","https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4313289487","https://openalex.org/W4321636153"],"abstract_inverted_index":{"The":[0,140,166,204,241],"financial":[1],"crisis":[2],"that":[3,169,244],"hit":[4],"Ghana":[5,247],"from":[6,150],"2015":[7],"to":[8,16,34,62,107,255],"2018":[9],"has":[10,52],"raised":[11],"various":[12,109],"issues":[13],"with":[14,120,144,213,234],"respect":[15],"the":[17,22,27,36,49,64,70,85,145,151,154,158,170,179,189,229,250],"efficiency":[18,44,93,128,147],"of":[19,24,32,67,91,157,202,217,225,252],"banks":[20,245],"and":[21,39,45,94,111,129,174,196,219,227,268],"safety":[23],"depositors\u2019":[25],"in":[26,48,84,125,187,246,270],"banking":[28,37,50,71],"industry.":[29,72],"As":[30],"part":[31],"measures":[33],"improve":[35],"sector":[38],"also":[40,100],"restore":[41],"customers\u2019":[42],"confidence,":[43],"performance":[46,130],"analysis":[47],"industry":[51],"become":[53],"a":[54,88,104,117,197,214,220,235,265],"hot":[55],"issue.":[56],"This":[57,114],"is":[58],"because":[59],"stakeholders":[60],"have":[61,81,99],"detect":[63],"underlying":[65],"causes":[66],"inefficiencies":[68],"within":[69,264],"Nonparametric":[73],"methods":[74],"such":[75],"as":[76,87,103],"Data":[77],"Envelopment":[78],"Analysis":[79],"(DEA)":[80],"been":[82,101],"suggested":[83,168],"literature":[86],"good":[89,105],"measure":[90],"banks\u2019":[92],"performance.":[95],"Machine":[96],"learning":[97,123,161],"algorithms":[98],"viewed":[102],"tool":[106],"estimate":[108],"nonparametric":[110],"nonlinear":[112],"problems.":[113],"paper":[115],"presents":[116],"combined":[118],"DEA":[119],"three":[121,159],"machine":[122,160],"approaches":[124],"evaluating":[126],"bank":[127,134],"using":[131,273],"444":[132],"Ghanaian":[133],"branches,":[135],"Decision":[136],"Making":[137],"Units":[138],"(DMUs).":[139],"results":[141,167],"were":[142,164,262],"compared":[143],"corresponding":[146],"ratings":[148],"obtained":[149],"DEA.":[152],"Finally,":[153],"prediction":[155],"accuracies":[156],"algorithm":[162,177,212],"models":[163],"compared.":[165],"decision":[171],"tree":[172],"(DT)":[173],"its":[175],"C5.0":[176],"provided":[178],"best":[180],"predictive":[181,215],"model.":[182],"It":[183],"had":[184],"100%":[185],"accuracy":[186,216],"predicting":[188],"134":[190],"holdout":[191],"sample":[192],"dataset":[193],"(30%":[194],"banks)":[195],"<mml:math":[198,221,236],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199,222,237],"id=\"M1\"><mml:mi>P</mml:mi></mml:math>":[200],"value":[201,224,239],"0.00.":[203],"DT":[205],"was":[206],"followed":[207],"closely":[208],"by":[209],"random":[210],"forest":[211],"98.5%":[218],"id=\"M2\"><mml:mi>P</mml:mi></mml:math>":[223],"0.00":[226],"finally":[228],"neural":[230],"network":[231],"(86.6%":[232],"accuracy)":[233],"id=\"M3\"><mml:mi>P</mml:mi></mml:math>":[238],"0.66.":[240],"study":[242,254],"concluded":[243],"can":[248],"use":[249],"result":[251],"this":[253],"predict":[256],"their":[257],"respective":[258],"efficiencies.":[259],"All":[260],"experiments":[261],"performed":[263],"simulation":[266],"environment":[267],"conducted":[269],"R":[271,274],"studio":[272],"codes.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
