The Certainty Ratio (Cρ): A New Metric for Evaluating the Reliability of Probabilistic Classifier Predictions

Traditional classifier performance metrics like accuracy can be misleading, as they don't account for uncertainty in predictions. The Certainty Ratio (Cρ), based on a novel Probabilistic Confusion Matrix, addresses this by quantifying the contribution of confident predictions to overall performance, offering a more reliable assessment of classifier trustworthiness.