👉 Subformativeness is a concept in computer science that describes the ability of an algorithm to generate outputs that are similar or identical to those generated by a given input. This can be achieved through the use of various techniques such as parallel processing, caching, and data compression. In machine learning, subformativeness refers to how well an algorithm can predict future outcomes based on its training data. For example, if an algorithm is designed to generate predictions for a new dataset that it has not seen before, it