Probability, Calibration, Machine Learning, Data Science, Model Tuning.
variables change. Isotonic regression finds applications across various domains, including the calibration of probability estimates, where it ensures the correct ordering of predicted probabilities. It is also useful in monotonic regression problems, where a monotonic relationship between variables