User:KeithTwnc/sandbox

Learning curve in machine learning
Plots relating performance to experience are widely used in machine learning. Performance is the error rate or accuracy of the learning system, while experience may be the number of training examples used for learning or the number of iterations used in optimizing the system model parameters. The machine learning curve is useful for many purposes including comparing different algorithms, choosing model parameters during design , adjusting optimization to improve convergence, and determining the amount of data used for training.