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.

Classifying brain tumors using Gaussian Naive Bayes with MRI-derived features. Includes feature selection, model evaluation, prediction uncertainty, and probability calibration.