The following example illustrates the effect of scaling the regularization parameter when using

Demonstration of several covariances types for Gaussian mixture models. See

sklearn.metrics.zero_one_loss(y_true, y_pred, normalize=True, sample_weight=None)

class sklearn.base.ClassifierMixin