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©The Author(s) 2022.
World J Gastroenterol. Apr 21, 2022; 28(15): 1588-1600
Published online Apr 21, 2022. doi: 10.3748/wjg.v28.i15.1588
Published online Apr 21, 2022. doi: 10.3748/wjg.v28.i15.1588
Figure 5 Development and assessment of the random forest algorithm in moderately severe and severe acute pancreatitis in pregnancy prediction.
A: Relationship between out-of-bag error and number of trees. In total, 75 trees are selected to establish a random forest model; B: Feature importance; C: Receiver operating characteristic curves in the training set; D: Receiver operating characteristic curves in test set; E: Calibration curves of training set; F: Calibration curves of the test set.
- Citation: Yang DJ, Lu HM, Liu Y, Li M, Hu WM, Zhou ZG. Development and validation of a prediction model for moderately severe and severe acute pancreatitis in pregnancy. World J Gastroenterol 2022; 28(15): 1588-1600
- URL: https://www.wjgnet.com/1007-9327/full/v28/i15/1588.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i15.1588