Visualizable and Interpretable Regression Models With Good Prediction Power

@inproceedings{Kim2005VisualizableAI,
  title={Visualizable and Interpretable Regression Models With Good Prediction Power},
  author={Hyunjoong Kim and Wei-Yin Loh and Yu-Shan Shih},
  year={2005}
}
Many methods can fit models with higher prediction accuracy, on average, than least squares linear regression. But the models, including linear regression, a re typically impossible to interpret or visualize. We describe a tree-structured method that fits a simple but no n-trivial model to each partition of the variable space. This ensures that each piece of the fitted reg ression function can be visualized with a graph or a contour plot. For maximum interpretability, our models are constructed… CONTINUE READING
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