{"version":"1.0","type":"link","title":"Discretization of continuous features - Newikis","description":"In statistics and machine learning, discretization refers to the process of converting or partitioning continuous attributes, features or variables to discretized or nominal attributes/features/variables/intervals. This can be useful when creating probability mass functions – formally, in density…","provider_name":"Newikis","provider_url":"https://newikis.com","cache_age":86400}