Performance of the classification models before applying Dual-GAN.

<p>This table illustrates the outcomes of different models during the imbalanced dataset. The performance of the minority class is very poor in comparison with the other majority classes, which further contributed to the overall poor outcome of the models.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-09-27
DOI
https://doi.org/10.1371/journal.pone.0310748.s027
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

Performance of the classification models before applying Dual-GAN.

Figshare
Imbalanced Data Classification Techniques
article

Performance of the classification models before applying Dual-GAN.

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Abstract

<p>This table illustrates the outcomes of different models during the imbalanced dataset. The performance of the minority class is very poor in comparison with the other majority classes, which further contributed to the overall poor outcome of the models.</p> <p>(DOCX)</p>

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Openalex Percentile: Top 63%
Imbalanced Data Classification Techniques
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Performance of the classification models before applying Dual-GAN. · Figshare (2024) | TGRS Research Map | TGRS