Once I had a problem where I have to give the best solution according to Area under the curve (AUC or AUROC) score. I had hundreds of features and my training set was about 100.000 of objects. It was a classification problem. I had tried gradient boosting, logistic regression, random forests and then I decided to try SVM and LinearSVC. Continue reading “How to predict_proba with LinearSVC” →