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Table 2 Performance comparison of different models to predict 1-year relapse in the validation set

From: Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection

Model

AUC

95%CI.lower

95%CI.upper

Sensitivity

Specificity

Accuracy

PPV

NPV

F1

RMSE

LR

0.708

0.579

0.823

0.878

0.400

0.696

0.705

0.667

0.782

0.448

RF

0.653

0.519

0.782

0.837

0.400

0.671

0.695

0.600

0.759

0.501

SVM

0.733

0.603

0.840

0.857

0.467

0.709

0.724

0.667

0.785

0.445

GBM

0.560

0.416

0.708

0.776

0.367

0.620

0.667

0.500

0.717

0.509

NN

0.720

0.604

0.836

0.878

0.400

0.696

0.705

0.667

0.782

0.448

KNN

0.600

0.460

0.740

0.837

0.467

0.696

0.719

0.636

0.774

0.496

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Journal of Translational Medicine

ISSN: 1479-5876

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