Fig. 2 | Scientific Reports

Fig. 2

From: Development and validation of a machine learning-based model to predict the risk of hospitalization death in hospitalized patients with AECOPD

Fig. 2

Performance of ML models to predict the risk of hospitalization death in hospitalized patients with AECOPD. (A) ROC curves of the top five best-performing ML models. (B) AUCs of the top five best-performing ML models with varied numbers of features. ML, machine learning; AECOPD, acute exacerbation of chronic obstructive pulmonary disease; ROC: receiver operating characteristic; AUC: area under the ROC curve; LightGBM, light gradient boosting machine; GBM, gradient boosting machine; XGboost, eXtreme gradient boosting; AdaBoost: adaptive boosting; RF, random forest.

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