{"id":"https://openalex.org/W4409408809","doi":"https://doi.org/10.56705/ijodas.v6i1.240","title":"Evaluating Machine Learning Approaches: A Comparative Study of Random Forest and Neural Networks in Grade Classification","display_name":"Evaluating Machine Learning Approaches: A Comparative Study of Random Forest and Neural Networks in Grade Classification","publication_year":2025,"publication_date":"2025-03-31","ids":{"openalex":"https://openalex.org/W4409408809","doi":"https://doi.org/10.56705/ijodas.v6i1.240"},"language":"en","primary_location":{"id":"doi:10.56705/ijodas.v6i1.240","doi":"https://doi.org/10.56705/ijodas.v6i1.240","is_oa":true,"landing_page_url":"https://doi.org/10.56705/ijodas.v6i1.240","pdf_url":"https://jurnal.yoctobrain.org/index.php/ijodas/article/download/240/230","source":{"id":"https://openalex.org/S4210200701","display_name":"Indonesian Journal of Data and Science","issn_l":"2715-9930","issn":["2715-9930"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Data and Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://jurnal.yoctobrain.org/index.php/ijodas/article/download/240/230","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104076056","display_name":"Subitha Sivakumar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405273256","display_name":"New Era College","ror":"https://ror.org/05jdahh16","country_code":"BW","type":"education","lineage":["https://openalex.org/I4405273256"]}],"countries":["BW"],"is_corresponding":false,"raw_author_name":"Subitha Sivakumar","raw_affiliation_strings":["New Era College of Arts, Science & Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New Era College of Arts, Science & Technology","institution_ids":["https://openalex.org/I4405273256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103608205","display_name":"Sivakumar Venkataraman","orcid":"https://orcid.org/0000-0002-0782-2424","observed_orcids":["https://orcid.org/0000-0002-0782-2424"]},"institutions":[{"id":"https://openalex.org/I309707301","display_name":"Botho University","ror":"https://ror.org/00nfn7821","country_code":"BW","type":"education","lineage":["https://openalex.org/I309707301"]}],"countries":["BW"],"is_corresponding":false,"raw_author_name":"Sivakumar Venkataraman","raw_affiliation_strings":["Botho University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Botho University","institution_ids":["https://openalex.org/I309707301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7377,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90251267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"6","issue":"1","first_page":"74","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9746000170707703,"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":0.9746000170707703,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.02280000038444996,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.001500000013038516,"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/grade-classification","display_name":"grade classification","score":0.8640000224113464},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7429999709129333},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9980000257492065},{"id":"https://openalex.org/keywords/secondary-school-students","display_name":"high school students","score":0.8759999871253967},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.6579999923706055},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.8100000023841858},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9259999990463257},{"id":"https://openalex.org/keywords/educational-data-mining","display_name":"educational data mining","score":0.7699999809265137},{"id":"https://openalex.org/keywords/academic-performance-prediction","display_name":"student performance prediction","score":0.6340000033378601}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8577374815940857},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6770026683807373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5406986474990845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53347247838974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5114606618881226}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.56705/ijodas.v6i1.240","doi":"https://doi.org/10.56705/ijodas.v6i1.240","is_oa":true,"landing_page_url":"https://doi.org/10.56705/ijodas.v6i1.240","pdf_url":"https://jurnal.yoctobrain.org/index.php/ijodas/article/download/240/230","source":{"id":"https://openalex.org/S4210200701","display_name":"Indonesian Journal of Data and Science","issn_l":"2715-9930","issn":["2715-9930"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Data and Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d3180d38c7ac46088644c92c3325ba3e","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/d3180d38c7ac46088644c92c3325ba3e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Indonesian Journal of Data and Science, Vol 6, Iss 1 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.56705/ijodas.v6i1.240","doi":"https://doi.org/10.56705/ijodas.v6i1.240","is_oa":true,"landing_page_url":"https://doi.org/10.56705/ijodas.v6i1.240","pdf_url":"https://jurnal.yoctobrain.org/index.php/ijodas/article/download/240/230","source":{"id":"https://openalex.org/S4210200701","display_name":"Indonesian Journal of Data and Science","issn_l":"2715-9930","issn":["2715-9930"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Data and Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.8278999924659729}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409408809.pdf","grobid_xml":"https://content.openalex.org/works/W4409408809.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W858921981","https://openalex.org/W2582523608","https://openalex.org/W2886927786","https://openalex.org/W2968184507","https://openalex.org/W3044651858","https://openalex.org/W3081977290","https://openalex.org/W3121013280","https://openalex.org/W4293568999","https://openalex.org/W4385458022","https://openalex.org/W4387328039","https://openalex.org/W4391742756","https://openalex.org/W4392981824","https://openalex.org/W4395703268","https://openalex.org/W4400613632","https://openalex.org/W4404490567","https://openalex.org/W4406837887","https://openalex.org/W4406847051","https://openalex.org/W4406851596","https://openalex.org/W4406853703","https://openalex.org/W4406855811","https://openalex.org/W4406860291","https://openalex.org/W4406861048"],"related_works":["https://openalex.org/W4410468798","https://openalex.org/W4400315011","https://openalex.org/W4385339767","https://openalex.org/W4416457666","https://openalex.org/W4415516350","https://openalex.org/W4408925681","https://openalex.org/W4393358599","https://openalex.org/W4366768903","https://openalex.org/W4407712159","https://openalex.org/W4406133212"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,17,88],"comprehensive":[4],"comparative":[5],"analysis":[6],"of":[7,19,34,39],"Random":[8,84],"Forest":[9,85],"and":[10,30,37,50,62,93,116,144],"Neural":[11,99],"Networks":[12,100],"for":[13,127],"grade":[14,76],"classification":[15,133,152],"using":[16,53],"dataset":[18],"2,392":[20],"high":[21],"school":[22],"students.":[23],"The":[24,78,108],"research":[25],"involves":[26],"meticulous":[27],"data":[28],"collection":[29],"pre-processing,":[31],"including":[32],"scaling":[33],"numerical":[35],"features":[36],"encoding":[38],"categorical":[40],"variables,":[41],"to":[42,67,70,119,130,149],"optimize":[43],"model":[44,86,101,114],"training.":[45],"Both":[46],"models":[47],"were":[48],"implemented":[49],"rigorously":[51],"evaluated":[52],"standard":[54],"performance":[55,104],"metrics,":[56],"such":[57],"as":[58],"accuracy,":[59],"precision,":[60],"recall,":[61],"F1-score,":[63],"with":[64],"particular":[65],"attention":[66],"their":[68],"ability":[69],"correctly":[71],"classify":[72],"students":[73],"into":[74],"various":[75],"categories.":[77],"results":[79],"indicate":[80],"that":[81],"while":[82],"the":[83,98,111,117],"achieved":[87],"slightly":[89],"higher":[90],"baseline":[91],"accuracy":[92],"benefits":[94],"from":[95],"enhanced":[96],"interpretability,":[97],"demonstrated":[102],"competitive":[103],"following":[105],"hyperparameter":[106],"tuning.":[107],"findings":[109],"underscore":[110],"trade-offs":[112],"between":[113],"interpretability":[115],"capacity":[118],"capture":[120],"complex":[121],"nonlinear":[122],"relationships,":[123],"offering":[124],"valuable":[125],"insights":[126],"practitioners":[128],"seeking":[129],"deploy":[131],"effective":[132],"strategies":[134],"in":[135],"educational":[136],"settings.":[137],"Future":[138],"work":[139],"may":[140],"explore":[141],"ensemble":[142],"approaches":[143],"advanced":[145],"feature":[146],"engineering":[147],"techniques":[148],"further":[150],"improve":[151],"performance.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-04-14T00:00:00"}
