Figure 3
From: Budget constrained machine learning for early prediction of adverse outcomes for COVID-19 patients
Receiver operating characteristic (ROC) curves on the ventilation and mortality tasks. The lines are the mean ROC curves over 5 different train/test splits and the shaded areas representâÂħâ1 standard deviations from the means. The performance of the three models is comparable, with XGBoost having the best performance in the ventilation task and the Gaussian process classifier having slightly better performance in the mortality task. The area under the curve (AUC) scores for all the models are reported in Table 4.
