Fig. 2

Visualization of the decision tree for predicting benign and malignant ovarian cancer. ROMA_after was the root node. Mass size (MR/CT) and HE4 were the classification standards for the first-layer nodes; PLT, LY%, and CA125 were the second-layer nodes; WBC, Post-menopause, HCT and CA125 were the third-layer nodes; ROMA_after, Mass size (MR/CT), CA125 and MPV were the fourth-layer nodes; the fifth layer was the leaves. The probability of benign and malignant was the number of class samples divided by the total number of samples in the current subset. 1 represented a benign tumor, and 0 represented a malignant tumor. Figure 2 represented a single decision tree generated from the complete dataset, not a collection of trees from the 1000 bootstrap samples