👉 Siftage is a term in the field of computer science and machine learning, specifically used to describe how algorithms can be optimized or simplified by reducing the size of data sets. It refers to the process of using fewer samples from a larger dataset to achieve similar results as with more data. In other words, siftage involves reducing the number of samples (or features) in a dataset so that it is less computationally expensive and produces similar results as if there were only one set of samples available.
