Fig. 3. Effect of data size on prediction performance on the primary clinical validation set.

A subsampled fraction of 1.0 indicates the entire training dataset. Model performance continues to increase with increased data, suggesting that the accuracy of predicting ci-DME, subretinal fluid, and intraretinal fluid presence will likely improve if the model is trained with more data. Error bars are 95% confidence interval using n = 2000 samples with replacement.