Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
reported below are evaluated on the test observations to assess the generalizability of our models. We have done a sequence of experiments summarized in the table below. Note that the most important score we care about is asymmetric MSE as it specifically defines our problem of asymmetric penalty.