I am trying to build a classifier that will classify data points of different classes, but which significantly overlap, but I'm not sure how to best approach the problem. I have read that tree models can perform well in this situation, and that Support Vector Machines might as well, but I'm unclear what other approaches might be good for tackling this problem. Can anyone give me some direction?
Classification with heavily overlapping data points of different labels
machine learning;classification