Fig. 4
From: Development of PDAC diagnosis and prognosis evaluation models based on machine learning
Performance validation and diagnostic experiment evaluation of four models. (A) to (E) are matrix scatter plots comparing the performance of the four machine learning models, representing Accuracy, Kappa Value, Sensitivity, Specificity, and ROC respectively. (F) ROC curves of the four machine learning models, with RF model having the largest AUC, followed by GBM, NNET, and SVM