Fig. 7
From: Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis
Test set accuracy. In the test set, the Random Forest model was also the most frequently applied machine learning model (n = 7), with an accuracy of 0.795 (0.638, 0.895). The DT model showed the best predicting performance (n = 3), with an accuracy of 0.830 (0.814, 0.845). The accuracy of LR model (n = 4) and NN model (n = 4) are 0.770 (0.597,0.884) and 0.712 (0.491,0.864) respectively