Correlation Assessment of the Performance of Associative Classifiers on Credit Datasets Based on Data Complexity Measures

One of the four basic machine learning tasks is pattern classification. The selection of the proper learning algorithm for a given problem is a challenging task, formally known as the algorithm selection problem (ASP). In particular, we are interested in the behavior of the associative classifiers d...

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Bibliografische gegevens
Hoofdauteurs: Francisco J. Camacho-Urriolagoitia, Yenny Villuendas-Rey, Itzamá López-Yáñez, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-04-01
Reeks:Mathematics
Onderwerpen:
supervised classification
meta-learning
associative classification
finances
Online toegang:https://www.mdpi.com/2227-7390/10/9/1460
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