In order to avoid overfitting on the DRIVE testing dataset, the testing dataset is no longer used for validation.
The validation dataset is now obtained by selecting a fraction (10%) of the training data, and a new training is performed with this new validation scheme. The results are basically the same (AUC ROC from 0.9791 to 0.9790).
In order to avoid overfitting on the DRIVE testing dataset, the testing dataset is no longer used for validation. The validation dataset is now obtained by selecting a fraction (10%) of the training data, and a new training is performed with this new validation scheme. The results are basically the same (AUC ROC from 0.9791 to 0.9790).