# Validation Set Ratio

Validation Set Ratio is used for High Detail modes of Green Classify and Red Analyze.

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.

Note:

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.