Fig.7
From: Prediction model of poorly differentiated colorectal cancer (CRC) based on gut bacteria
Construction of risk prediction model for poorly differentiated CRC. We used the relevant functions in the rminer Package (version 1.4.5) of R language for modeling analysis and used the fit function for modeling the variable importance calculation. A-F are the LR model (A), RF model (B), NN model (C), SVM model (D), GBDT model (E) and CatBoost model (F). The left panel (a1, b1, c1, d1, e1, f1) show the variable importance histogram of the model, the upper right panel (a2, b2, c2, d2, e2, f2) show the AUC curve of the model, and the lower right panel (a3, b3, c3, d3, e3, f3) show the CV. confuse matrix of the model