algorithmic decision-making is a crucial policy issue. Current legislation ensures fairness by barring algorithm designers from …, limit the benefits of a more accurate algorithm for a firm. As a result, profit maximizing firms could under-invest in …

decision tree induction algorithm / Márcio Porto Basgalupp ... [et al.] -- Learning with querying and its application in …

and a supervised gradient boosted tree (or “XGBoost”) classification algorithm to create trust in machine learning (ML … and recall, which denote the most important metrics in my setup. I benchmark the performance of the selected algorithm … finding characteristic- specific performance dependencies for VCs, I find that the XGBoost algorithm outperforms the median VC …