Table 3 Performance of radiomics models
From: Prediction of distant metastasis in esophageal cancer using a radiomics–clinical model
Algorithms | AUC(95%CI) in validation set |
|---|---|
Support vector machines (SVM) | 0.747 (0.642–0.851) |
Random forest (RF) | 0.551 (0.478–0.687) |
K nearest neighbor (KNN) | 0.730 (0.617–0.843) |
Logistic regression (LR) | 0.754 (0.652–0.855) |