Machine Learning, Gradient Boosting, Data Science, Towards Data Science, Loss Function.
beta depends upon magnitude of weight we want to give to false positives. This is sometimes called a Neyman-Pearson criterion. At Manifold, we recently ran into a problem that required a custom loss function. One of our clients, Cortex Building Intelligence, provides an app that helps engineers