Parent Approximations

• It learns a compact two-level decision set in which each rule explains parts of the model behavior unambiguously and is a combined objective function to optimize these aspects: high agreement between the explanation and the model; little overlap between the decision rules in the explanation; the explanation decision set is lightweight and small.