quantile loss
Quantile loss is a statistical measurement that assesses the accuracy of predictions made by a model by evaluating the difference between the predicted quantile values and the actual observed values. It quantifies the error or deviation between the predicted and actual quantiles, allowing for a comprehensive understanding of a model's predictive performance across different quantiles of the data distribution.
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