👉 The collator is a type of machine learning algorithm used for feature selection. It's designed to select important features from a dataset, aiming to minimize the number of irrelevant or redundant features. This process involves finding the best subset of features that can capture as much information about the data as possible while minimizing their influence on the model's performance.
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