3.4.3. Standardization

All data was normalized with Python's SciKit Learn MinMaxScaler, between 0 and 1 values [55]. This way, the performance metrics are common for all cities, therefore direct comparisons can be conducted, but more importantly because during training it allows the non-convex cost function to converge to the global minimum faster and in a more appropriate fashion.
