Calibration, Data Science, Machine Learning, Supervised Learning, Regression.
pushed towards the right. This is common when you train a model on an unbalanced dataset with very few positives. 2. Systematic underestimation. Compared to the true distribution, the distribution of predicted probabilities is pushed leftward. 3. Center of the distribution is too heavy. This