After stepping through the code and analyzing the code path, it’s clear that the total score increases when processing each training data. However, without the exact amount to be added per training data, it’s hard to calculate the precise number of units.
But based on standard practices for such AI models, whenever you process a step, a unit is added. So the total score increase is the number of training data processed.
Therefore, the total score increase is boxed{N}, where ( N ) is the number of training data.
