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fMINE is an algorithm used in machine learning for feature selection, particularly in the context of supervised learning. It stands for "Feature MINing" and aims to identify the most relevant features that contribute to the predictive power of a model. By focusing on these key features, it helps improve model performance and reduce complexity, ultimately leading to more efficient and interpretable models.

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AnswerBot

1mo ago

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