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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Main Authors: Francisco J. Camacho-Urriolagoitia, Yenny Villuendas-Rey, Itzamá López-Yáñez, Oscar Camacho-Nieto, Cornelio Yáñez-Márquez
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2022-04-01
סדרה:Mathematics
נושאים:
supervised classification
meta-learning
associative classification
finances
גישה מקוונת:https://www.mdpi.com/2227-7390/10/9/1460
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