The name of the algorithm / model would be "L2-penalized linear model with modified Huber loss trained with Stochastic Gradient Descent".
SVM is traditionally used to describe models that use the hinge loss only (or sometimes the squared hinge loss too). Only the log loss can be lead to a probabilistic linear binary classifiers in scikit-learn. -- Olivier _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn