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Imbalanced classification metric.
Published 2025“…<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 address this issue. …”
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The relationship between the number of classifications (K) and the SSE results graph.
Published 2025Subjects: “…hierarchical clustering algorithm…”
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Integrated the single classification model prediction results of the text index.
Published 2025Subjects: -
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