Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

Serafín Moral‐García; Carlos J. Mantas; Javier G. Castellano; Joaquín Abellán

doi:10.1016/j.ijar.2022.05.005

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Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

Serafín Moral‐García Carlos J. Mantas Javier G. Castellano Joaquín Abellán

Year: 2022 Journal: International Journal of Approximate Reasoning Vol: 147 Pages: 60-77 Publisher: Elsevier BV

DOI: 10.1016/j.ijar.2022.05.005

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Keywords:

Pairwise comparison Computer science Artificial intelligence Multi-label classification Pattern recognition (psychology) Binary classification Ranking (information retrieval) Classifier (UML) Binary number Class (philosophy) Decision tree Data mining Machine learning Mathematics Support vector machine

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Data Classification

Physical Sciences → Computer Science → Artificial Intelligence

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Using Credal C4.5 for Calibrated Label Ranking in Multi-Label Classification

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