Search alternatives:
patterns classification » pattern classification (Expand Search), patient classification (Expand Search), protein classification (Expand Search)
random optimization » codon optimization (Expand Search), from optimization (Expand Search), carbon optimization (Expand Search)
wave patterns » usage patterns (Expand Search), scale patterns (Expand Search), use patterns (Expand Search)
binary wave » binary image (Expand Search)
patterns classification » pattern classification (Expand Search), patient classification (Expand Search), protein classification (Expand Search)
random optimization » codon optimization (Expand Search), from optimization (Expand Search), carbon optimization (Expand Search)
wave patterns » usage patterns (Expand Search), scale patterns (Expand Search), use patterns (Expand Search)
binary wave » binary image (Expand Search)
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Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data
Published 2022“…Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …”
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
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The comparison of the accuracy score of the benchmark and the proposed models.
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The statistical description of the original data set of the patients (<i>n</i> = 162).
Published 2025Subjects: -
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
Published 2025Subjects: -
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