If you have 10 years of historical data and no test set, you might have to wait another 2 years to collect enough new data to evaluate your model. By splitting your existing 10 years of data into 80% training (8 years) and 20% testing (2 years), you can start evaluating and improving your model immediately — without waiting for additional data to arrive.