Loss Function, Data Science, Heartbeat, Data Science For Ml.
function of γ = 0.25 gives more penalty to overestimation and tries to keep prediction values a little below median γ is the required quantile and has value between 0 and 1. Plot of Quantile Loss (Y-axis) vs. Predictions (X-axis). True value of Y = 0 We can also use this loss function to calculate