Answer - Cross-validation is a method for examining a machine learning model and testing its performance. CV is mostly used in applied ML tasks. It helps in comparing and selecting an appropriate model for the specific predictive modeling problem. However, it is easy to understand, easy to implement, and it tends to have a lower bias than other methods used to count the model’s efficiency scores.