👉 Unwagged is a term used in the context of data mining and machine learning, which refers to the process of removing or reducing the redundancy or noise in a dataset. It involves identifying features that are not important for classification or regression tasks and removing them from the dataset. The term "unwagged" comes from the French word "unequivocal," which means "uncorrupted or unaltered." In data mining, this means that the dataset is as clean and free of noise as