Table.

Model Performance (Test Performance, I.E., Outer-Loop of the Nested Cross Validation)

Model	Mean Absolute Error (Injections/Year) [95% CI]	Cross-Validated R2	ROC-AUC for Low Treatment Requirement*	ROC-AUC for High Treatment Requirement †
LASSO regression	2.76 [2.39–3.14]	0.038	0.61	0.63
Principal component regression	2.74 [2.38–3.11]	0.173	0.63	0.7
Random forest regression	2.60 [2.25–2.96]	0.390	0.68	0.7
NGBoost	2.66 [2.31–3.01]	0.094	0.68	0.69

^*Receiver operating characteristic area under the curve (ROC-AUC) was calculated for the identification of eyes with an injection requirement of 4 injections/y or less.²²

^†ROC-AUC for 10 injections/y or more.²²