Example Concept: Confidence scoring involves assigning a probability or score to each prediction, indicating the model's certainty. Evaluating these scores can be done using calibration techniques, where the predicted probabilities are compared to actual outcomes to ensure accuracy. Tools like reliability diagrams and Brier scores can help assess and improve the calibration of confidence scores, thereby enhancing model accountability and trustworthiness.