Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests

8 Jun 2015Viktoriya KrakovnaJiong DuJun S. Liu

It is becoming increasingly important for machine learning methods to make predictions that are interpretable as well as accurate. In many practical applications, it is of interest which features and feature interactions are relevant to the prediction task... (read more)

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