[Question] How to deal with overlapping training data in classification. • /r/MachineLearning

I have some data that I need to classify into three groups (Q 0,1,2). The Q 0 training data is realatively well seperated from the other training data, but the Q 1, and Q 2 have a good amount of overlaps. See this figure for an example. I'm working with Scikit-Learn, and I've tried Random Forests, Extremely Randomized Forests, and SVM. In the testing step (before I apply it to unknown data) I get pretty good results (The recall and precision are both 60%).