Explainable machine learning model for predicting minor amputation in diabetic foot ulcers

Figure 3 Receiver operating characteristic analysis of six machine learning models in training and validation sets. A: Training set (n = 480); B: Validation set (n = 205). The X-axis represents 1-specificity, and the Y-axis represents sensitivity. ROC: Receiver operating characteristic; KNN: K-nearest neighbors; LR: Logistic regression; MLP: Multilayer perceptron; RF: Random forest; SVM: Support vector machine; XGBoost: Extreme gradient boosting.