Binary Classification with Imbalanced Data

Binary Classification with Imbalanced Data

When the binary response variable contains an excess of zero counts, the data are imbalanced. Imbalanced data cause trouble for binary classification. To simplify the numerical computation to obtain the maximum likelihood estimators of the zero-inflated Bernoulli (ZIBer) model parameters with imbala...

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Bibliographic Details
Main Authors: Jyun-You Chiang, Yuhlong Lio, Chien-Ya Hsu, Chia-Ling Ho, Tzong-Ru Tsai
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Entropy
Subjects:
artificial neural network
expectation-maximization algorithm
Entropy
logistic regression
zero-inflated model
Online Access:https://www.mdpi.com/1099-4300/26/1/15

Internet

https://www.mdpi.com/1099-4300/26/1/15

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