How to Estimate the Accuracy of a Machine Learning Model?

With all this sort of optimizations. One thing you mentioned earlier was a quantization where you might, convert, say, floating point points into intecers because they might fit better. So does that change the result, the accuracy of model? Yes, it does. The question here is that, how do you do that in a way that change it as little as possible?" "We can evaluate bound t the level of accuracy, the gradation, without having to retrain it"