Fig. 4From: Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysisTrain set accuracy. In the train set, XGBoost showed the best predicting performance (n = 6), with an accuracy of 0.970 (0.487, 0.999) The accuracy of SOFA model (n = 6) is 0.588 (0.460,0.706). The accuracy of SVM model (n = 4) is 0.788 (0.635,0.889) The accuracy of XGBoost model (n = 6) is 0.970 (0.487,0.999)Back to article page