Python, Data Science, Machine Learning, Technology, Finance.
used to assess the accuracy of probabilistic predictions in classification models. It measures the difference between predicted probabilities and actual outcomes, indicating the discrepancy between predicted probabilities and observed outcomes. Lower scores indicate better calibration, while higher