Machine Learning, Predictive Analytics, Deep Learning, Regression, TensorFlow.
this co-learning across the quantiles in its predictions, where the model learns a common kink rather than separate ones for each quantile. This looks to be a good Occam-inspired choice. Which did best? Eyeballing suggests that deep learning did well, linear models did OK, and tree-based methods