Comparing Machine Learning Classifiers

On 6 Feb, 2014 By johnbrown 0 Comments
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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.