Data is split into three parts in Machine Learning. Training Data is required to train the model. This is the data that can be seen by the model actually from which it learns. Validation Data is used to quickly evaluate the model and has improved involved hyperparameters. Testing Data is thoroughly trained, and it provides an unbiased evaluation.