IID Assumption & Machine Learning Models

IID stands for independent and identical distribution in which it is assumed that data points are independent with each other and the are having similar distributed . Because of fulfillment of  IID assumptions we are able to use cross validation to evaluate models.



Since data points are assumed to be IID, we are able to split the data in to training & test type . Thats because we assume both test & training data create from same data generating process