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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Bibliographic Details
Main Authors: Francisco J. Camacho-Urriolagoitia, Yenny Villuendas-Rey, Itzamá López-Yáñez, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez
Format: Artigo
Language:Inglês
Published: MDPI AG 2022-04-01
Series:Mathematics
Subjects:
supervised classification
meta-learning
associative classification
finances
Online Access:https://www.mdpi.com/2227-7390/10/9/1460
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