From:  Dual-BINN: a dual-branch biologically informed neural network integrating Reactome pathways and ClassyFire structures for metabolomics

 Comparison of model results on the gastric cancer dataset.

ModelAccuracyPrecisionRecallROC-AUCPR-AUC
Dual-BINN0.8950.9080.9370.9560.975
Decision Tree0.7370.8060.7940.7090.777
SVM0.8110.8170.9210.9230.964
Logistic Regression0.8840.9060.9210.9300.965
XGBoost0.8530.8550.9370.9250.958
PiDeeL0.8840.9330.8890.9260.948
MLP0.7900.7710.7410.8110.883

Bold values indicate the best-performing model for each metric.