{"id":"https://openalex.org/W4406417335","doi":"https://doi.org/10.1109/ic3i61595.2024.10828707","title":"An Analysis on Performance Scale and Model Validation in Machine Learning","display_name":"An Analysis on Performance Scale and Model Validation in Machine Learning","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417335","doi":"https://doi.org/10.1109/ic3i61595.2024.10828707"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10828707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"},"type":"article","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/A5114276977","display_name":"Krishna Gangu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Krishna Gangu","raw_affiliation_strings":["Independent Researcher,Hyderabad,Telangana,India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher,Hyderabad,Telangana,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063435566","display_name":"Shikha Tayal","orcid":"https://orcid.org/0000-0003-4145-938X"},"institutions":[{"id":"https://openalex.org/I3131087633","display_name":"Himalayan Institute of Yoga Science and Philosophy","ror":"https://ror.org/02ty8xh41","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I3131087633"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shikha Tayal","raw_affiliation_strings":["Tula&#x0027;s Institute,Dehradun,Uttarakhand"],"affiliations":[{"raw_affiliation_string":"Tula&#x0027;s Institute,Dehradun,Uttarakhand","institution_ids":["https://openalex.org/I3131087633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017983243","display_name":"Richa Mishra","orcid":"https://orcid.org/0000-0003-1995-2012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richa Mishra","raw_affiliation_strings":["Shivalik Engineering College,Dehradun,Uttarakhand,India"],"affiliations":[{"raw_affiliation_string":"Shivalik Engineering College,Dehradun,Uttarakhand,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107327410","display_name":"Pramod Kumar Voola","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pramod Kumar Voola","raw_affiliation_strings":["Independent Researcher,Hyderabad,Telangana,India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher,Hyderabad,Telangana,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109574836","display_name":"S.N. Kavuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swethasri Kavuri","raw_affiliation_strings":["Independent Researcher Lakshmi Nagar,Vijayawada,Andhra Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher Lakshmi Nagar,Vijayawada,Andhra Pradesh,India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Ankur Mehra","orcid":null},"institutions":[{"id":"https://openalex.org/I2799795791","display_name":"Government of Haryana","ror":"https://ror.org/01b891j88","country_code":"IN","type":"government","lineage":["https://openalex.org/I2799795791"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ankur Mehra","raw_affiliation_strings":["Independent Researcher,Gurgaon,Haryana,India"],"affiliations":[{"raw_affiliation_string":"Independent Researcher,Gurgaon,Haryana,India","institution_ids":["https://openalex.org/I2799795791"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114276977"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2638,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91504451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1107","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.9801999926567078,"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/T14484","display_name":"Technology and Data Analysis","score":0.9801999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175881862640381},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6099932193756104},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4877406060695648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4779803156852722}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175881862640381},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6099932193756104},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4877406060695648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4779803156852722},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10828707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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":17,"referenced_works":["https://openalex.org/W2782865993","https://openalex.org/W2911770499","https://openalex.org/W2944954104","https://openalex.org/W2966241529","https://openalex.org/W2966650814","https://openalex.org/W3006395747","https://openalex.org/W3048584318","https://openalex.org/W3170219029","https://openalex.org/W4200191876","https://openalex.org/W4200200996","https://openalex.org/W4205399886","https://openalex.org/W4285269727","https://openalex.org/W4290996966","https://openalex.org/W4321494133","https://openalex.org/W4381162683","https://openalex.org/W4381745848","https://openalex.org/W4382468148"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0,132],"research":[1,133],"examines":[2],"the":[3,135,142],"performance":[4,83,128],"and":[5,18,27,38,58,72,90,111,119,126,144],"validation":[6,98,139],"techniques":[7],"of":[8,79,137,146],"various":[9],"machine":[10,147],"learning":[11,148],"models,":[12],"including":[13],"Support":[14],"Vector":[15],"Machines":[16],"(SVM)":[17],"Linear":[19,120],"Regression":[20,121],"Non-Linear":[21],"Regression,":[22],"Neural":[23],"Networks,":[24],"Random":[25],"Forest,":[26],"K-Nearest":[28],"Neighbours":[29],"(KNN),":[30],"with":[31,37],"a":[32,45],"focus":[33],"on":[34],"their":[35,124],"effectiveness":[36],"without":[39],"model":[40,60,97,101,138],"validation.":[41,61],"The":[42,82,93],"study":[43],"follows":[44],"thorough":[46],"process":[47],"that":[48,96],"includes":[49],"data":[50,80],"collecting":[51],"from":[52],"many":[53],"sources,":[54],"diligent":[55],"dataset":[56],"compilation,":[57],"rigorous":[59],"Data":[62],"cleansing,":[63],"missing":[64],"value":[65],"management,":[66],"feature":[67],"scaling,":[68],"categorical":[69],"variable":[70],"encoding,":[71],"cross-validation":[73],"implementation":[74],"are":[75,122],"all":[76],"critical":[77],"aspects":[78],"preparation.":[81],"criteria":[84],"examined":[85],"were":[86],"accuracy,":[87],"precision,":[88],"recall,":[89],"$F":[91],"1$-score.":[92],"results":[94],"show":[95],"considerably":[99],"improves":[100],"performance.":[102],"Models":[103],"validated":[104],"using":[105],"approaches":[106],"like":[107],"as":[108],"Hyperparameter":[109],"tweaking":[110],"crossvalidation":[112],"outperform":[113],"those":[114],"not":[115],"verified.":[116],"When":[117],"KNN":[118],"verified,":[123],"accuracy":[125],"other":[127],"metrics":[129],"increase":[130],"significantly.":[131],"highlights":[134],"importance":[136],"in":[140],"boosting":[141],"generalization":[143],"efficacy":[145],"models.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
