Table 7:

AD Phenotyping Performance on Balanced Testing Set in Experiment 1 BioClinical BERT)

Model	Accuracy	Precision	Recall	F1	NPV	Specificity
Logistic Regression	0.7321	0.7241	0.7500	0.7368	0.7407	0.7500
SVM	0.7321	0.7826	0.6429	0.7059	0.6970	0.7857
Decision Tree	0.5893	0.6316	0.4286	0.5106	0.5676	0.7500
Random Forest	0.6964	0.7037	0.6786	0.6909	0.6897	0.8214
KNN	0.6786	0.7273	0.5714	0.6400	0.6471	0.7857
XGBoost	0.6071	0.6154	0.5714	0.5926	0.6000	0.8571
AdaBoost	0.6429	0.6538	0.6071	0.6296	0.6333	0.7857
Stacking Classifier	0.6964	0.7391	0.6071	0.6667	0.6667	0.7500