Statistical Analysis of Imbalanced Classification with Training Size Variation and Subsampling on Datasets of Research Papers in Biomedical Literature

The overall purpose of this paper is to demonstrate how data preprocessing, training size variation, and subsampling can dynamically change the performance metrics of imbalanced text classification. The methodology encompasses using two different supervised learning classification approaches of feat...

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Detalhes bibliográficos

Principais autores:	Jose Dixon, Md Rahman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-12-01
Colecção:	Machine Learning and Knowledge Extraction
Assuntos:	text retrieval text classification imbalanced sampling feature engineering statistical analysis data preprocessing
Acesso em linha:	https://www.mdpi.com/2504-4990/5/4/95
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