Learning Optimized Or's of And's

@article{Wang2015LearningOO,
  title={Learning Optimized Or's of And's},
  author={Tong Wang and Cynthia Rudin},
  journal={CoRR},
  year={2015},
  volume={abs/1511.02210}
}
Or’s of And’s (OA) models are comprised of a small number of disjunctions of conjunctions, also called disjunctive normal form. An example of an OA model is as follows: If (x1 = ‘blue’ AND x2 = ‘middle’) OR (x1 = ‘yellow’), then predict Y = 1, else predict Y = 0. Or’s of And’s models have the advantage of being interpretable to human experts, since they are a set of conditions that concisely capture the characteristics of a specific subset of data. We present two optimization-based machine… CONTINUE READING

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