Before I wrote a blog learning curve , he explained fairly clearly,
But read the book Andrew Ng, but also some new experience, mainly the learning curve and the deviation variance combine the model optimization analysis
Interpretation of learning curve
So the question is, optimal error rate come from? We are generally not determined, so that when we put a smaller training set and test set pitch error, as the optimum sample size