Table 2.

Predictive performance of models predicting need for glaucoma surgery trained with data from All of Us.

	AUC	Precision	Recall	Accuracy
Models trained with dataset containing broad set of predictor variables (56 predictors)
Multivariable Logistic Regression	0.80	0.90	0.51	0.87
Artificial Neural Networks	0.93	0.83	0.84	0.92
Random Forests	0.99	1.00	0.88	0.97
Models trained with dataset containing predictor variables restricted to those from the original single-center model (15 predictors)
Multivariable Logistic Regression	0.81	0.40	0.75	0.68
Artificial Neural Networks	0.94	0.84	0.74	0.91
Random Forests	0.97	0.91	0.75	0.93