Clinical decision support for precolonoscopy cancer triage: A rule-out-oriented machine learning model for colorectal cancer risk

Figure 1 Receiver operating characteristic curves for malignancy prediction. Receiver operating characteristic curves based on out-of-fold predicted probabilities from repeated stratified 5-fold cross-validation (50 repeats) comparing the full-feature model, SHAP10, and SHAP5 models. Area under the curve values are reported in the text/Table 2. ROC: Receiver operating characteristic curve; CV: Cross-validation; OOF: Out-of-fold; AUC: Area under the curve; SHAP: SHapley Additive exPlanations; FPR: False-positive rate.