بدائل البحث:
1_decoding algorithm » modeling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
image 1_decoding » image 1_developing (توسيع البحث), table 1_decoding (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
e learning » _ learning (توسيع البحث), deep learning (توسيع البحث)
1_decoding algorithm » modeling algorithm (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
image 1_decoding » image 1_developing (توسيع البحث), table 1_decoding (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
e learning » _ learning (توسيع البحث), deep learning (توسيع البحث)
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Performance of the machine learning algorithms.
منشور في 2025"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"
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Performance of the machine learning algorithms.
منشور في 2025"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"
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Performance of MDEM algorithms as percentage of the best algorithms in k-fold for PID dataset.
منشور في 2025الموضوعات: -
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Decision tree algorithms.
منشور في 2025"…In over-sampling, synthetic minority instances are generated e.g. SMOTE (Synthetic Minority Over-sampling Technique) and on the contrary, under-sampling methods remove the majority-class instances to create balanced data e.g. random under-sampling. …"
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