`sklearn.feature_selection.SelectFromModel` is a class in the Python library scikit-learn (sklearn) that allows for feature selection based on a specific model. It utilizes a given model to fit the data and then selects the features with the highest importance scores. This class helps in automating the process of feature selection by providing a convenient way to select the most important features from a dataset, which can be useful for enhancing the performance of machine learning models.
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