Reality correction factor

When building a predictive buying flows model this typically results in a model accuracy of about 90%. The deviations between the model result and the real sales are insightful for Benchmarking and lifting the performance of your locations to the next level. It also provides insights into possible real estate actions. 

However, if you want to test the outcome of a possible real estate action in the predictive model, you want the model to reflect reality as much as possible. To be able to do this a 'reality correction factor' is applied. This means that underestimated locations will be amplified in attraction and overestimated locations will be reduced in attraction.

This is important for making accurate model estimations for network simulations.