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

 Comparison of model results on breast cancer dataset.

ModelAccuracyPrecisionRecallROC-AUCPR-AUC
Dual-BINN1.0001.0001.0001.0001.000
Decision Tree0.8840.8750.9110.9110.938
SVM0.9300.9170.9460.9880.994
Logistic Regression0.9530.9490.9490.9330.894
XGBoost0.9770.9690.9821.0001.000
PiDeeL0.9520.9291.0001.0001.000
MLP0.9530.9480.9480.9330.894

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