Cross-Validation - What is cross-validation and why is it used?

One way to test machine learning models is by cross-validation, which involves training many models on different parts of the input data and then comparing their performance on other parts of the data. Overfitting, or the inability to generalize a pattern, may be detected via cross-validation.