Non-Generalization and Generalization of Machine learning Models

This article was published as a part of the Data Science Blogathon. The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform well. Such a model is generalizable. It doesn't have to act on all data types but with similar domains or datasets.