Definition:

To evaluate how the trained model performs in reality we need to test it on previously unseen data, therefore a test set of AIREO TDS is the data that isn’t in the training or validation set. It should be reflective of the distribution of the data expected in reality and various scores pertaining to the accuracy of the model are measured on this set.