[mcny]

Not that I know too much about machine learning but even in my very limited experience with homework we came across the problem of over fitting: where our model fits the noise of the training data too well but will not perform well against other real world data.

I can't even imagine the amount of data being generated by the fleets at waymo and others but compared to all the infinite possibilities I must assume their data set is tiny.

[inverse_pi]

I can't imagine test tracks data being in the training set, so overfitting is irrelevant here.