Figure 2 | Scientific Reports

Figure 2

From: Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum

Figure 2

AUC of the LightGBM model. (A) AUC of the LightGBM model in the train set. (B) AUC of the LightGBM model in the validation set. (C) AUC of the LightGBM model in the test set. (D) Figure shows that the AUC of the LightGBM model changes according to the training sample size. The abscissa represents the sample number, and the ordinate represents the ROC value.

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