In English-version of my personal blog, I posted an article about how we should understand a nature of each machine learning classifier; my solution is "just looking at a hyperplane of each".

http://tjo-en.hatenablog.com/entry/2014/01/06/234155

For package-users, not serious experts in machine learning and its scientific basis, visualized features (i.e. hyperplanes on 2D space) would be much useful for understanding them.

Any comments or suggestions are welcome.