PATH, an autoregressive tree-hierarchy model over discretized regression targets, achieves the shortest mean normalized prediction interval length on a 56-dataset benchmark while maintaining mean coverage above the 90% target.
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PATH: Next-Interval Prediction via Autoregressive Tree Hierarchy on Tabular Data
PATH, an autoregressive tree-hierarchy model over discretized regression targets, achieves the shortest mean normalized prediction interval length on a 56-dataset benchmark while maintaining mean coverage above the 90% target.