CRPS
A metric for evaluating the quality of probabilistic forecasts that measures how closely a predictive distribution matches the true observation, accounting for both accuracy and calibration.
Timeline (last 90 days)
CRPS measures the integral of squared error between the predicted cumulative distribution function and the true observed value, penalizing both overconfidence and underconfidence.
Among the 17 datasets in the ProbTS benchmark suite, KGO achieves the best CRPS on 13 datasets and the best NMAE on 16 datasets.
All Facts (2)
CRPS measures the integral of squared error between the predicted cumulative distribution function and the true observed value, penalizing both overconfidence and underconfidence.
50%UnverifiedAmong the 17 datasets in the ProbTS benchmark suite, KGO achieves the best CRPS on 13 datasets and the best NMAE on 16 datasets.
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