 An alternative method using isotonic regression is generally superior to Platt's method when sufficient training data is available.In the multiclass case, one can use a reduction to binary tasks, followed by univariate calibration with an algorithm as described above and further application of the pairwise coupling algorithm by Hastie and Tibshirani.Commonly used loss functions for probabilistic classification include log loss and the Brier score between the predicted and the true probability distributions.