We can evalulate how the model performs with cross-validation
From the dataset, divide the training and validation dataset.
For example, use the first three blocks (75%) of data to train and the last block (25%) for test evalution. Keep track how well the method does with the test data.
Then, repeat for other combinations of train-test sets. Add or average the all results.
