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Probability Calibration Curves: Assessing Reliability of Predicted Class Probabilities
Introduction In many real-world machine learning applications, predictions are not limited to class labels alone. Models are often expected to provide probabilities that express confidence in their predictions. For example, a classifier may predict a 70% chance that a customer will churn or a 90% likelihood that a transaction is fraudulent. While accuracy metrics like […]
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