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Fig. 5 | BMC Medical Informatics and Decision Making

Fig. 5

From: A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction

Fig. 5

Box plot of the AUC for the eight candidate models between before and after SFM. °: the outliers of box plot, *: there is a statistically significant difference between before and after SFM (p-value < 0.05). DT: decision tree; SVM: support vector machine; RF: random forest; ET: extra trees; GBDT: gradient boosting decision tree; ADB: adaBoost; Bagging: bootstrap aggregating; XGB: extreme gradient boosting

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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