👉 Inframarginal is a concept in computer science, specifically related to the field of machine learning. It refers to the part of an algorithm that deals with the decision-making process, or the part of the algorithm where it makes decisions. The idea behind this term is that a machine learning model should not make any decisions without having enough information about its input data and how it was trained. Inframarginal algorithms are those that do not rely on any external knowledge beyond what has been learned
