👉 Prelabeling is a technique used in data mining and machine learning to reduce the complexity of a dataset by identifying patterns or categories that are not present in the original data. This can be particularly useful when dealing with large datasets, as it allows for the identification of relevant information within a relatively small number of samples. In prelabeling, the goal is to identify which rows in a dataset have been labeled as certain types of objects (e.g., "cat", "dog", etc.) and which
