{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T00:25:15Z","timestamp":1762043115812,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643682242"},{"type":"electronic","value":"9781643682259"}],"license":[{"start":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T00:00:00Z","timestamp":1635465600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,29]]},"abstract":"<jats:p>This paper aims to select an algorithm for the Machine Learning (ML) classification task. For the proposed analysis, the Multi-criteria Decision Aid (MCDA) M\u00e9thode d\u2019ELimination et de CHoix Includent les relations d\u2019ORdre (MELCHIOR) method was applied. The experiment considered the following criteria as relevant: Accuracy, sensitivity, and processing time of the algorithms. The data used refers to the intention of buying on the Internet and the purpose is to predict whether the customer will finalize a particular purchase. Among various MCDA techniques available, MELCHIOR was chosen to support the decision-making process because this method provides the evaluation of alternatives without the need to elicit the weights of the criteria. As a result, the Gradient Boosting Decision Tree algorithm has been selected as the most suitable for the ML classification task.<\/jats:p>","DOI":"10.3233\/faia210243","type":"book-chapter","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T17:55:45Z","timestamp":1635875745000},"source":"Crossref","is-referenced-by-count":10,"title":["Algorithm Selection for Machine Learning Classification: An Application of the MELCHIOR Multicriteria Method"],"prefix":"10.3233","author":[{"given":"Igor Pinheiro de Ara\u00fajo","family":"Costa","sequence":"first","affiliation":[{"name":"Federal Fluminense University, Brazil"},{"name":"Naval Systems Analysis Center, Brazil"}]},{"given":"Marcio Pereira","family":"Bas\u00edlio","sequence":"additional","affiliation":[{"name":"Military Police of the State of Rio de Janeiro, Brazil"}]},{"given":"S\u00e9rgio Mitihiro do Nascimento","family":"Ma\u00eada","sequence":"additional","affiliation":[{"name":"Federal Fluminense University, Brazil"},{"name":"Naval Systems Analysis Center, Brazil"}]},{"given":"Marcus Vin\u00edcius Gon\u00e7alves","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Federal Fluminense University, Brazil"}]},{"given":"Miguel \u00c2ngelo Lellis","family":"Moreira","sequence":"additional","affiliation":[{"name":"Federal Fluminense University, Brazil"},{"name":"Naval Systems Analysis Center, Brazil"}]},{"given":"Carlos Francisco Sim\u00f5es","family":"Gomes","sequence":"additional","affiliation":[{"name":"Federal Fluminense University, Brazil"}]},{"given":"Marcos","family":"dos Santos","sequence":"additional","affiliation":[{"name":"Military Institute of Engineering, Brazil"},{"name":"Naval Systems Analysis Center, Brazil"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data II and Machine Learning and Intelligent Systems III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210243","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T17:57:03Z","timestamp":1635875823000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210243"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,29]]},"ISBN":["9781643682242","9781643682259"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210243","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"type":"print","value":"0922-6389"},{"type":"electronic","value":"1879-8314"}],"subject":[],"published":{"date-parts":[[2021,10,29]]}}}