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
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Updated
Apr 2, 2026 - Jupyter Notebook