Search alternatives:
performance decrease » performance decreases (Expand Search), performance metrics (Expand Search), performance across (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
performance decrease » performance decreases (Expand Search), performance metrics (Expand Search), performance across (Expand Search)
marked decrease » marked increase (Expand Search)
large decrease » larger decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
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Relationship between ordinal regression and binary classification performance.
Published 2025Subjects: -
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ROC analysis to mark selectivity results in mostly mixed-selective units.
Published 2025“…The large number of mixed selective units also results in a significant decrease in accuracy when these neurons are targeted as compared to <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013559#pcbi.1013559.g006" target="_blank">Fig 6c</a> where there was no significant effect visible after targeting mixed selective units, likely because there were less mixed selective units present. …”
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Performance enhancements of classification models using the oversampling method (SMOTE).
Published 2024Subjects: -
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Performance enhancements of classification models using the undersampling method (NearMiss).
Published 2024Subjects: -
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Classification model parameter settings.
Published 2025“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. …”