Beyond Point Prediction: Artificial Representative Trees with Uncertainty
ScientificML
Proposes combining Artificial Representative Trees with leaf-wise Mondrian Conformal Predictive Systems to enable a single decision tree to provide continuous predictions, prediction intervals, and probabilistic outputs as an interpretable ML approach.
See LICENSE file Decision TreesInterpretable MLUncertainty Quantification