Walle
Created page with "{{see also|Machine learning terms}} ==Introduction== In the context of machine learning, the term "non-binary condition" refers to a situation where the output or target variable of a predictive model is not restricted to two distinct classes or labels. This contrasts with binary classification tasks, where the goal is to predict one of two possible outcomes. Non-binary conditions arise in various types of problems, such as multi-class classification, multi-label classif..."
