Prediction of Visual Acuity after anti-VEGF Therapy in Diabetic Macular Edema by Machine Learning

Table 2

Accuracy of visual acuity predictions.

Algorithm learner	MAE		MSE
	All features	Selected features	All features	Selected features
Linear regression (LR)	0.153	0.149	0.048	0.046
SVM	0.272	0.359	0.140	0.188
K neighbors regressor	0.222	0.195	0.076	0.060
Random forest regressor (RF)	0.168	0.153	0.050	0.042
Ridge regressor	0.183	0.159	0.058	0.046
LR + RF	0.153	0.137	0.045	0.033

MAE, mean absolute error; MSE, mean square error; accuracy (VA in logMAR) of VA prediction at 1 month after anti-VEGF compared with the ground truth.