What is Cross Validation in Machine Learning and its Techniques?
Machine Learning (ML) model development is not complete until, the model is validated to give the accurate prediction. The stability of model is important to rely on its decisions that should be correct and unbiased allowing to trust on the model.
Actually, there are various types of validation methods adopted depending whether the numerical results quantifying hypothesized relationships between variables, are acceptable as descriptions of the data. So, right here we will learn about what are the validation techniques used in ML model validation. Source