{"id":629,"title":"Dataset training, validation and testing","url":"","description":"ML-R1.4-01M: Metadata includes information about the dataset used for ML model training, testing and validation.\r\n\r\nTest: 1) The dataset is mentioned and its properties are explained. 2) The breakdown of the data for the individual phases (training, testing, and validation) is explained.","image":"","tags":"","type":"yesnobut","license":"","rationale":"Information about the dataset used for training, validation and testing of an ML model is important towards the better understanding and easier reuse of an ML model. This is a disciplinary requirement.","principle":"R","fairmetrics":"R1.4","authors":[1411]}