Comparing Machine Learning Classifiers

Takashi Ozaki has a nice blog post comparing machine learning classifiers based on their hyperplanes or decision boundaries.

Compared: Decision Tree, Logistic Regression, SVM, Neural Net and Random Forrest.

It appears Random Forests work best when cluster boundaries are unknown.