👉 In the context of computer science and artificial intelligence, a "preselector" is a type of machine learning algorithm that operates on a set of features in order to select the most relevant or informative features for making predictions. These features are typically selected based on their importance or relevance to the underlying problem being solved. Preselectors are often used in conjunction with other algorithms like decision trees, random forests, or neural networks to improve the performance and robustness of a model by selecting the best subset of features
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