Further Reading

• Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q. - On calibration of modern neural networks, 2017 link
• Platt, J. - Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods, 1999 link
• Zhang J., Kailkhura B., Yong-Jin Han T. - Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning, 2020 link
• Zadrozny, B., & Elkan, C. - Transforming classifier scores into accurate multiclass probability estimates, 2002 link
• Murphy, Allan H., and Robert L. Winkler - Reliability of Subjective Probability Forecasts of Precipitation and Temperature, 1977 link

• Niculescu-Mizil, Alexandru & Caruana, Rich. - Predicting good probabilities with supervised learning, 2005 link

• Scikit-learn documentation and examples about calibration link