Table 6 Classification performance of predictive models.

From: A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis

Model

Accuracy

Precision

Recall

F1 Score

AUC

Logistic Regression

0.808

0.815

0.982

0.891

0.645

Random Forest

0.769

0.812

0.926

0.865

0.619

SVM

0.795

0.804

0.982

0.884

0.608

GBM

0.798

0.809

0.978

0.885

0.656

Neural Network

0.809

0.815

0.984

0.982

0.645

Back to article page