👉 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.
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What is the definition of Subsample? 🙋
👉 A sub-sample is a subset of a larger population or dataset that consists of a specific portion of it. This means that the original dataset can be divided into smaller, manageable pieces and then used to form a new dataset that represents only those parts of the original dataset. For example, if you have a large dataset containing information about people's hobbies, interests, and activities, you might want to create sub-samples based on age groups or specific hobbies. This could result in datasets that are more focused
