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Comparing machine learning classifiers based on their hyperplanes, for "package-users"

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".


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.

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