# Validation Set

Validation Set is only used for the High Detail architectures of the Green Classify and Red Analyze tools. Validation Set is used to evaluate a model created from the train set on a certain iteration period. This is like an idea of a deep learning model taking a mock exam before a real exam. Based on the evaluation results with the validation set, High Detail architecture calculates losses from validation set and selects a final model with the lowest loss.

## Validation Set Ratio

Validation Set Ratio is used for the High Detail architecture of the Green Classify and Red Analyze tools. Validation Set ratio is the ratio of validation set among the training set. Validation set is randomly selected from the training set whenever you click the training button.

Validation set is different from testing set since validation set is participated in training, but testing set is not at all. Testing set is used only for selecting the model which shows best performance in general data set after training is finished. For example, you might get overfitting model to the training set when you set high epoch count without validation set. If you set a high epoch count and start training without validation set, there is no way to know whether overfitting occurs or not until the end of the training. In this case, the overfitting model will eventually be generated as a final model.

However, if there is a validation set, it can be determined that overfitting occurs when the performance on the validation set is overly lower than the performance on the training set after certain amount of training. And after the entire training is finished, the model generated before the overfitting occurs will be selected as the final model. Like this, the validation set is not directly used for training but participated in calibrating the model by checking the performance on unseen data during the training.

Once you finished editing your training set on Select Training Set, the views that are picked as the validation set will have special indicators which indicates that these views are included in the validation set among the images in the training set.

Enter 'validated' or 'not validated' in Display Filter to display only the views that are included in the validation set or to exclude them in the View Browser and Image Display Area.

Enter 'validated' or 'not validated' in Database Overview Filter to display only the results of the views that are included in the validation set or to exclude them in Database Overview.

Note: Database Overview Filter is activated only when the Expert Mode is enabled.