Any ML model must reliably anticipate the correct result from various input values in various datasets. Stability is the term used to describe this property of a machine learning model. When a model does not significantly alter when its input is changed, it has been trained successfully to generalize and identify patterns in our data. https://nixustechnologies.com/cross-validation-in-machine-learning/