Hi everyone, I am working on a highly imbalanced dataset (with response rate 0.27%). I have used algorithms like LR, SVM, ADABOOST(DT), KNN etc and executed these algos by oversampling the minority class. But the best f-score I have got so far is 0.29. Can you guys suggest some ways/tricks to improve the model performance. Number of predictors=9, Number of observations=2 millions. Thanks.