بدائل البحث:
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
yet optimization » art optimization (توسيع البحث), lead optimization (توسيع البحث), path optimization (توسيع البحث)
binary damage » binary image (توسيع البحث), binary data (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
damage model » game model (توسيع البحث)
model yet » model year (توسيع البحث), model beta (توسيع البحث), model dem (توسيع البحث)
model optimization » codon optimization (توسيع البحث), global optimization (توسيع البحث), based optimization (توسيع البحث)
yet optimization » art optimization (توسيع البحث), lead optimization (توسيع البحث), path optimization (توسيع البحث)
binary damage » binary image (توسيع البحث), binary data (توسيع البحث)
binary model » final model (توسيع البحث), injury model (توسيع البحث), tiny model (توسيع البحث)
damage model » game model (توسيع البحث)
model yet » model year (توسيع البحث), model beta (توسيع البحث), model dem (توسيع البحث)
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21
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22
The comparison of the accuracy score of the benchmark and the proposed models.
منشور في 2025الموضوعات: -
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24
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25
Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
منشور في 2025الموضوعات: -
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
منشور في 2025الموضوعات: -
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
منشور في 2025الموضوعات: -
29
Results of KNN.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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30
Comparison of key techniques in their literature.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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31
SHAP analysis mean value.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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32
Proposed methodology.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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33
SHAP analysis.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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Dataset description.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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35
Results of Extra tree.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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36
Results of Decision tree.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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37
Results of Adaboost.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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38
Results of Random Forest.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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39
Before upsampling.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
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40
Results of gradient boosting classifier.
منشور في 2024"…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"