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Table 3 Results of NSLNM predicted by different ML

From: Prediction of nonsentinel lymph node metastasis in breast cancer patients based on machine learning

Indicators

LR

DT

SVM

KNN

RF

XGB

Accuracy

0.702

0.682

0.596

0.623

0.772

0.752

Precision

0.673

0.650

0.611

0.617

0.754

0.723

Recall

0.681

0.657

0.623

0.631

0.712

0.728

F1 score

0.676

0.653

0.590

0.610

0.724

0.726

  1. Abbreviations: LR Logistic regression model, DT Decision tree model, SVM Support vector machine model, KNN K-nearest neighbor model, RF Random forest model, XGB Extreme gradient boosting model