{"id":"https://openalex.org/W4388937615","doi":"https://doi.org/10.1109/icccnt56998.2023.10307028","title":"Credit Risk Prediction using Extra Tree Ensembling Technique with Genetic Algorithm","display_name":"Credit Risk Prediction using Extra Tree Ensembling Technique with Genetic Algorithm","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937615","doi":"https://doi.org/10.1109/icccnt56998.2023.10307028"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076724133","display_name":"Trishita Saha","orcid":null},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Trishita Saha","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103019545","display_name":"Saroj Kr. Biswas","orcid":"https://orcid.org/0009-0004-4819-8623"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saroj Kumar Biswas","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089624820","display_name":"Saptarsi Sanyal","orcid":"https://orcid.org/0000-0002-0136-8304"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saptarsi Sanyal","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003357634","display_name":"Neeta Verma","orcid":"https://orcid.org/0000-0001-6001-4058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neeta Verma","raw_affiliation_strings":["Inderprastha Engineering College,Department of Computer Science and Engineering,Ghaziabad,Uttar Pradesh,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inderprastha Engineering College,Department of Computer Science and Engineering,Ghaziabad,Uttar Pradesh,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043818101","display_name":"Biswajit Purkayastha","orcid":"https://orcid.org/0009-0003-7302-2585"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswajit Purkayastha","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78040541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9990000128746033,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9962000250816345,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9333000183105469,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8084828853607178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6920055150985718},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6682145595550537},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.6371196508407593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5595107674598694},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5497111678123474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502830445766449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5006694793701172},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.46426013112068176},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4598432779312134},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.4567883610725403},{"id":"https://openalex.org/keywords/credit-risk","display_name":"Credit risk","score":0.4354037642478943},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3824542760848999},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.17930421233177185},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.11357977986335754},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.0939936637878418}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8084828853607178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920055150985718},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6682145595550537},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.6371196508407593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5595107674598694},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5497111678123474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502830445766449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5006694793701172},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.46426013112068176},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4598432779312134},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.4567883610725403},{"id":"https://openalex.org/C178350159","wikidata":"https://www.wikidata.org/wiki/Q162714","display_name":"Credit risk","level":2,"score":0.4354037642478943},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3824542760848999},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.17930421233177185},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.11357977986335754},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0939936637878418},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10307028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10307028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2015954856","https://openalex.org/W2020855305","https://openalex.org/W2046024644","https://openalex.org/W2100805904","https://openalex.org/W2131065179","https://openalex.org/W2503623748","https://openalex.org/W2562625799","https://openalex.org/W2596623478","https://openalex.org/W2619951045","https://openalex.org/W2700766797","https://openalex.org/W2728161880","https://openalex.org/W2788025656","https://openalex.org/W2793660455","https://openalex.org/W2892951213","https://openalex.org/W2895269073","https://openalex.org/W2910364449","https://openalex.org/W3087890953","https://openalex.org/W3095065319","https://openalex.org/W3096019139","https://openalex.org/W3120655457","https://openalex.org/W3129495388","https://openalex.org/W3208808136","https://openalex.org/W4285099028","https://openalex.org/W4364860068"],"related_works":["https://openalex.org/W4308469503","https://openalex.org/W32988189","https://openalex.org/W2904737874","https://openalex.org/W80466363","https://openalex.org/W4389233021","https://openalex.org/W2399571531","https://openalex.org/W2947132063","https://openalex.org/W4288337828","https://openalex.org/W4287816717","https://openalex.org/W4390415670"],"abstract_inverted_index":{"To":[0,42,68],"enhance":[1],"the":[2,70,94,123,176],"accuracy":[3,131],"of":[4,29,72,122,130,166],"predicting":[5],"a":[6,14,16,26,64],"borrower's":[7],"likelihood":[8],"to":[9,13,39],"repay":[10],"their":[11],"debt":[12],"lender,":[15],"comprehensive":[17],"approach":[18],"is":[19,115,126,141,168],"necessary.":[20],"The":[21,110,120,164],"loan":[22],"approval":[23],"process":[24],"involves":[25],"considerable":[27],"amount":[28],"quantitative":[30],"data":[31],"that":[32,146],"can":[33],"be":[34],"time":[35],"killing":[36],"and":[37,79,87,132,153],"subjected":[38],"human":[40],"error.":[41],"simplify":[43],"this":[44],"process,":[45],"an":[46],"expert":[47],"system":[48],"named":[49],"CRPESGA":[50,75,140,167],"(Credit":[51],"Risk":[52],"Prediction":[53],"Expert":[54],"System":[55],"using":[56],"Genetic":[57,97],"Algorithms)":[58],"has":[59],"been":[60],"proposed,":[61],"which":[62,103],"utilizes":[63],"genetic":[65],"algorithm-based":[66],"approach.":[67],"address":[69],"issue":[71],"class":[73],"imbalance,":[74],"incorporates":[76],"both":[77],"undersampling":[78],"oversampling":[80],"techniques,":[81],"namely":[82],"Edited":[83],"Nearest":[84],"Neighbor":[85],"(ENN)":[86],"Synthetic":[88],"Minority":[89],"Oversampling":[90],"Technique":[91],"(SMOTE).":[92],"Additionally,":[93],"model":[95,108,125],"employs":[96],"Algorithm":[98],"(GA)":[99],"for":[100,107,118],"feature":[101,154],"selection,":[102],"identifies":[104],"relevant":[105],"features":[106],"training.":[109],"Extra-Trees":[111],"ensemble":[112,151],"bagging":[113],"technique":[114,156],"then":[116],"used":[117],"classification.":[119],"efficacy":[121],"proposed":[124],"evaluated":[127],"in":[128,175],"terms":[129],"f1-":[133],"score,":[134],"based":[135,149],"on":[136],"10-fold":[137],"cross-validation.":[138],"Moreover,":[139],"compared":[142,170],"with":[143,171],"other":[144,172],"models":[145,173],"use":[147],"single-classifier":[148],"approaches,":[150],"models,":[152],"selection":[155],"such":[157],"as":[158],"Minimum":[159],"Redundancy":[160],"Maximum":[161],"Relevance":[162],"(mRMR).":[163],"performance":[165],"also":[169],"presented":[174],"literature.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}