Back testing refers to the process of evaluating the accuracy and reliability of a forecasting model by testing it against historical actuals. The goal of back testing is to determine how well the model would have predicted past outcomes if it had been used during that time period.

During new client onboarding, our data scientists perform back testing to optimise the model configuration of the baseline scenario.