👉 The term "mfd" in the context of machine learning refers to a multi-classification task, where each class is represented by multiple features. This allows for more complex and diverse datasets that can be handled by machine learning algorithms. MFD stands for Multi-Feature Decision Maker, which is used in decision-making processes involving multiple decision-making criteria (e.g., voting). It involves selecting the most appropriate set of features or classifiers based on their performance or accuracy on a specific task. In machine learning

mfd