Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Miningcs.LG
Algorithm extracts non-monotonic rules from statistical models using HUIM.
problem Extracting non-monotonic rules from statistical learning models.
method Reduces problem to HUIM, uses TreeExplainer for feature importance.
result Significant improvement in classification metrics and training time.