Figure 2From: Learning accurate and interpretable models based on regularized random forests regressionMapping samples to rule space and eliminate rules. Random forests model is generated from training samples. Viewing a path from root node and a leaf node of a decision tree as a decision rule, we can encode data into rule space. Some of rules can be eliminated without affecting the prediction performance.Back to article page