Código QR (código de barras bidimensional)

Impact of Imbalanced Datasets Preprocessing in the Performance of Associative Classifiers

In this paper, an experimental study was carried out to determine the influence of imbalanced datasets preprocessing in the performance of associative classifiers, in order to find the better computational solutions to the problem of credit scoring. To do this, six undersampling algorithms, six over...

ver descrição completa

Na minha lista:
Principais autores: Adolfo Rangel-Díaz-de-la-Vega, Yenny Villuendas-Rey, Cornelio Yáñez-Márquez, Oscar Camacho-Nieto, Itzamá López-Yáñez
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-04-01
coleção:Applied Sciences
Assuntos:
imbalanced datasets
associative classifiers
credit scoring
Acesso em linha:https://www.mdpi.com/2076-3417/10/8/2779
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registros relacionados