Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets

EVA LUCRECIA GIBAJA GALINDOCRISTOBAL ROMERO MORALESSEBASTIAN EMILIO VENTURA SOTO2026-01-292026-01-29201510.1080/18756891.2015.11137482-s2.0-85011403805https://www.scopus.com/inward/record.uri?eid=2-s2.https://ucocris.uco.es/handle/123456789/27834Computational MathematicsComputer Science (all)Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Setsresearch article