It is important to understand the difference between learning curves and fitting graphs (or fitting curves). A learning curve shows the generalization performance — the performance only on testing data, plotted against the amount of training data used. A fitting graph shows the generalization performance as well as the performance on the training data, but plotted against model complexity. Fitting graphs generally are shown for a fixed amount of training data.
