Training errors for final model (block level):
{'accuracy': 0.9205167323012377,
 'f1': 0.9404319043625426,
 'precision': 0.9184194567439528,
 'recall': 0.9635254409178062}
Test errors for final model (block level):
{'accuracy': 0.8960239564871967,
 'f1': 0.9161795830853575,
 'precision': 0.8729650256683729,
 'recall': 0.9638954889057517}