Fig. 5From: In silico analysis of intestinal microbial instability and symptomatic markers in mice during the acute phase of severe burnsResults of machine learning classification of three groups of samples. (A) Confusion matrix for the classification of burn and control groups using the XGBoost algorithm; (B) Confusion matrix for the classification of burn and control groups using the Randomforest algorithm; (C) Confusion matrix for the classification of burn and control groups using the Gaussian Naive Bayes algorithm; (D) ROC curves for classification of burn and control groups; (E) Confusion matrix for the classification of 4-hour post-burn group and the 6-hour post-burn group using the Randomforest algorithm; (F) Confusion matrix for the classification of 4-hour post-burn group and the 6-hour post-burn group using the SVM algorithm; (G) Confusion matrix for the classification of 4-hour post-burn group and the 6-hour post-burn group using the NaiveBayes algorithm; (H) ROC curves for classification of two burn groupsBack to article page