"In Sample" and "Out of Sample" are terms used in the context of statistics and machine learning and are important during data analysis processes.
➡️ "In Sample" refers to the data set that a model has been trained or learned on.
➡️ "Out of Sample" refers to the data set that a model has not been trained or seen before.
