👉 Subsampled is a method in data science where you take a sample of your original dataset and then use it to train a model, rather than using all of the original data. This can be useful when dealing with large datasets or when you have limited computational resources. The goal of subsampling is to reduce the size of your dataset without losing any information about its structure or features.
