بدائل البحث:
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data optimization » path optimization (توسيع البحث), dose optimization (توسيع البحث), art optimization (توسيع البحث)
class data » claims data (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
data optimization » path optimization (توسيع البحث), dose optimization (توسيع البحث), art optimization (توسيع البحث)
class data » claims data (توسيع البحث)
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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
منشور في 2022"…However, ToxCast assays differ in the amount of data and degree of class imbalance (CI). Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …"
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<i>hi</i>PRS algorithm process flow.
منشور في 2023"…<p><b>(A)</b> Input data is a list of genotype-level SNPs. <b>(B)</b> Focusing on the positive class only, the algorithm exploits FIM (<i>apriori</i> algorithm) to build a list of candidate interactions of any desired order, retaining those that have an empirical frequency above a given threshold <i>δ</i>. …"
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The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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The statistical description of the original data set of the patients (<i>n</i> = 162).
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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.
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
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