Data Science, Glm, Statistics, Modeling, Machine Learning.
the same distribution. Model stability refers to the sensitivity of a model to changes in the data, for example, removing an outlier will change the fit of a model significantly. A common measure of the influence of a record is Cook’s Distance. Model validation methods included loss ratio, double