Search alternatives:
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data linear » data linkage (Expand Search)
samples optimization » kepler optimization (Expand Search), compared optimization (Expand Search), whale optimization (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
data samples » dna samples (Expand Search), all samples (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data linear » data linkage (Expand Search)
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The statistical description of the original data set of the patients (<i>n</i> = 162).
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
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The comparison of the accuracy score of the benchmark and the proposed models.
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
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