بدائل البحث:
largest decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث)
latest decrease » greatest decrease (توسيع البحث), largest decreases (توسيع البحث), latency decreased (توسيع البحث)
shap decrease » small decrease (توسيع البحث), mean decrease (توسيع البحث), a decrease (توسيع البحث)
step decrease » sizes decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
largest decrease » larger decrease (توسيع البحث), marked decrease (توسيع البحث)
latest decrease » greatest decrease (توسيع البحث), largest decreases (توسيع البحث), latency decreased (توسيع البحث)
shap decrease » small decrease (توسيع البحث), mean decrease (توسيع البحث), a decrease (توسيع البحث)
step decrease » sizes decrease (توسيع البحث), teer decrease (توسيع البحث), we decrease (توسيع البحث)
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SHAP waterfall plot.
منشور في 2025"…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …"
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SHAP decision plot.
منشور في 2025"…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …"
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SHAP dependence plots.
منشور في 2025"…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …"
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SHAP dependence plots with interaction coloring.
منشور في 2025"…Across 10 models, CatBoost performed best on the test set (AUC = 0.970, accuracy = 0.920, F1 = 0.918), with robust calibration and decision-curve net benefit. SHAP interpretation ranked eGDR among the most influential predictors: SHAP summary and dependence plots indicated that higher eGDR decreased the model’s predicted probability of frailty. …"
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