The used datasets with their details.

<div><p>In recent years, the challenge of imbalanced data has become increasingly prominent in machine learning, affecting the performance of classification algorithms. This study proposes a novel data-level oversampling method called Cluster-Based Reduced Noise SMOTE (CRN-SMOTE) to addr...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Javad Hemmatian (20700209) (author)
مؤلفون آخرون:	Rassoul Hajizadeh (20700212) (author), Fakhroddin Nazari (20700215) (author)
منشور في:	2025
الموضوعات:	Medicine Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified using five metrics oversampling minority classes neighbors &# 8217 matthew &# 8217 maternal health risk experimental findings indicate enn methods across cohen &# 8217 category form one become increasingly prominent achieving average improvements smote consistently outperformed smote combines smote smote ), smote smote outperformed rn four imbalanced datasets mcc ), f1 imbalanced data xlink "> two clusters tomek link study proposes results demonstrate recent years proposed method novel data machine learning correlation coefficient classification algorithms
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The used datasets with their details.

مواد مشابهة