{"id":"https://openalex.org/W2944259858","doi":"https://doi.org/10.1109/sccc.2018.8705262","title":"Comparative Analysis of Prediction Techniques to Determine Student Dropout: Logistic Regression vs Decision Trees","display_name":"Comparative Analysis of Prediction Techniques to Determine Student Dropout: Logistic Regression vs Decision Trees","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2944259858","doi":"https://doi.org/10.1109/sccc.2018.8705262","mag":"2944259858"},"language":"en","primary_location":{"id":"doi:10.1109/sccc.2018.8705262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sccc.2018.8705262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","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/A5028365474","display_name":"Alfredo J. P\u00e9rez","orcid":"https://orcid.org/0000-0002-2852-2041"},"institutions":[{"id":"https://openalex.org/I221450849","display_name":"University of B\u00edo-B\u00edo","ror":"https://ror.org/04dndfk38","country_code":"CL","type":"education","lineage":["https://openalex.org/I221450849"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Alfredo Perez","raw_affiliation_strings":["Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile","institution_ids":["https://openalex.org/I221450849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003520053","display_name":"Elizabeth E. Grand\u00f3n","orcid":"https://orcid.org/0000-0002-8639-667X"},"institutions":[{"id":"https://openalex.org/I221450849","display_name":"University of B\u00edo-B\u00edo","ror":"https://ror.org/04dndfk38","country_code":"CL","type":"education","lineage":["https://openalex.org/I221450849"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Elizabeth E. Grandon","raw_affiliation_strings":["Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile","institution_ids":["https://openalex.org/I221450849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076899481","display_name":"M\u00f3nica Caniup\u00e1n","orcid":"https://orcid.org/0000-0003-1543-2378"},"institutions":[{"id":"https://openalex.org/I221450849","display_name":"University of B\u00edo-B\u00edo","ror":"https://ror.org/04dndfk38","country_code":"CL","type":"education","lineage":["https://openalex.org/I221450849"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Monica Caniupan","raw_affiliation_strings":["Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento Sistemas de Informaci\u00f3n, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile","institution_ids":["https://openalex.org/I221450849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021858086","display_name":"Gilda Vargas","orcid":null},"institutions":[{"id":"https://openalex.org/I221450849","display_name":"University of B\u00edo-B\u00edo","ror":"https://ror.org/04dndfk38","country_code":"CL","type":"education","lineage":["https://openalex.org/I221450849"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Gilda Vargas","raw_affiliation_strings":["Departamento de Estad\u00edstica, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Estad\u00edstica, Universidad del B\u00edo-B\u00edo, Concepci\u00f3n, Chile","institution_ids":["https://openalex.org/I221450849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I221450849"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T13929","display_name":"Educational Outcomes and Influences","score":0.964900016784668,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7768765687942505},{"id":"https://openalex.org/keywords/drop-out","display_name":"Drop out","score":0.6690418124198914},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.613277018070221},{"id":"https://openalex.org/keywords/drop","display_name":"Drop (telecommunication)","score":0.5753093361854553},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5716229677200317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552279949188232},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.4841626286506653},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4837091565132141},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.4491455852985382},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.4403686821460724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3874049186706543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3076396882534027},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20262467861175537}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7768765687942505},{"id":"https://openalex.org/C2984949393","wikidata":"https://www.wikidata.org/wiki/Q1260241","display_name":"Drop out","level":2,"score":0.6690418124198914},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.613277018070221},{"id":"https://openalex.org/C2781345722","wikidata":"https://www.wikidata.org/wiki/Q5308388","display_name":"Drop (telecommunication)","level":2,"score":0.5753093361854553},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5716229677200317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552279949188232},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.4841626286506653},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4837091565132141},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.4491455852985382},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.4403686821460724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3874049186706543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3076396882534027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20262467861175537},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sccc.2018.8705262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sccc.2018.8705262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","raw_type":"proceedings-article"}],"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/W208128215","https://openalex.org/W1545142063","https://openalex.org/W1555199703","https://openalex.org/W1579081673","https://openalex.org/W1587157779","https://openalex.org/W1673075472","https://openalex.org/W1704903455","https://openalex.org/W1991340431","https://openalex.org/W2019933549","https://openalex.org/W2036389121","https://openalex.org/W2040555123","https://openalex.org/W2140190241","https://openalex.org/W2150450526","https://openalex.org/W2158698691","https://openalex.org/W2162897826","https://openalex.org/W2171470744","https://openalex.org/W2335157529","https://openalex.org/W2371638596","https://openalex.org/W2624485140","https://openalex.org/W2626747875","https://openalex.org/W2809175126","https://openalex.org/W2911079360","https://openalex.org/W2970146457","https://openalex.org/W2974902866","https://openalex.org/W2989074375","https://openalex.org/W4206209869","https://openalex.org/W6623737539","https://openalex.org/W6635078918","https://openalex.org/W6637324320","https://openalex.org/W6659379104","https://openalex.org/W6680704940","https://openalex.org/W6767097352","https://openalex.org/W6768516823","https://openalex.org/W7005494644"],"related_works":["https://openalex.org/W3033399826","https://openalex.org/W4322731370","https://openalex.org/W4376054933","https://openalex.org/W4366151905","https://openalex.org/W3134571208","https://openalex.org/W4292297483","https://openalex.org/W2891995560","https://openalex.org/W4378083723","https://openalex.org/W2529456000","https://openalex.org/W2944259858"],"abstract_inverted_index":{"Currently,":[0],"the":[1,25,41,70,76,114,124,129,138,145,166,171,178,190,200,204,206,214],"detection":[2],"of":[3,54,66,69,75,140,144,151,155,161,208,216],"students":[4],"who":[5],"may":[6],"drop":[7,30,50,72,142,210],"out":[8,33,51,73,143,211],"from":[9,128],"an":[10,149,158],"academic":[11],"program":[12],"is":[13,34,82,90,103],"a":[14,47,52,64,93,153],"relevant":[15],"issue":[16],"for":[17,46],"universities,":[18],"so":[19],"there":[20],"are":[21],"efforts":[22],"to":[23,49,212],"examine":[24],"variables":[26,57,201],"that":[27,45,137,202],"determine":[28],"students'":[29],"out.":[31],"Drop":[32],"defined":[35],"in":[36,44],"different":[37],"ways,":[38],"however,":[39],"all":[40],"studies":[42],"converge":[43],"student":[48],"course":[53],"study,":[55],"some":[56],"must":[58],"be":[59],"combined.":[60],"This":[61],"study":[62],"presents":[63],"comparison":[65,135],"performance":[67],"indicators":[68,164],"current":[71,167],"model":[74,95,102,147,172,180],"Universidad":[77],"del":[78],"B\u00edo-B\u00edo":[79],"(UBB),":[80],"which":[81],"based":[83,96,173],"on":[84,97,174],"logistic":[85,175],"regression":[86],"technique":[87],"and":[88,109,122],"it":[89,110],"compared":[91],"with":[92,157],"new":[94,101],"decision":[98],"trees.":[99],"The":[100,134],"obtained":[104,181],"through":[105,113],"data":[106,127],"mining":[107],"methodologies":[108],"was":[111,182],"implemented":[112],"SAP":[115],"Predictive":[116],"Analytics":[117],"tool.":[118],"To":[119],"train,":[120],"validate,":[121],"apply":[123],"model,":[125],"real":[126],"UBB":[130],"databases":[131],"were":[132],"used.":[133],"shows":[136],"prediction":[139,179,191],"student\u0301":[141],"proposed":[146],"obtains":[148],"accuracy":[150],"86%,":[152],"precision":[154],"97%":[156],"error":[159],"rate":[160],"14%,":[162],"better":[163],"than":[165],"values":[168],"delivered":[169],"by":[170],"regression.":[176],"Subsequently,":[177],"optimized":[183],"considering":[184],"other":[185],"variables,":[186],"improving":[187],"even":[188],"more":[189],"indicators.":[192],"Higher":[193],"education":[194],"institutions":[195],"should":[196],"take":[197],"into":[198],"account":[199],"explain":[203],"most":[205],"phenomenon":[207],"student\u0301s":[209],"improve":[213],"retention":[215],"their":[217],"students.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}