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scoring-rules

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uncertainty-toolbox

uncertainty-toolbox / uncertainty-toolbox

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Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

visualization metrics scoring-rules toolbox uncertainty calibration visualizations uncertainty-quantification uncertainty-estimation bayesian-neural-networks bayesian-deep-learning sharpness predictive-uncertainty recalibration uncertainty-calibration uncertainty-metrics uncertainty-toolbox
  • Updated Mar 5, 2025
  • Python

Ruhallah93 / superior-scoring-rules

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Scoring rules like the Brier Score (Mean Squared Error, Quadratic Score) and Log Loss (Cross-Entropy, Negative Log-Likelihood, Logarithmic Score) can favor incorrect predictions. To address this limitation, the Probabilistic Brier Score (PBS) and Probabilistic Logarithmic Loss (PLL) have been introduced for probabilistic classifiers.

scoring-rules calibration uncertainty-quantification uncertainty-calibration calibrated-predictions log-loss probabilistic-evaluation calibrated-classification proper-scoring-rules strictly-proper-scoring-rules brier-score calibrated-evaluation
  • Updated May 19, 2025
  • Jupyter Notebook

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