The `transform` function in the `SelectKBest` module of Python's scikit-learn library is used to apply the feature selection process on a given dataset using the SelectKBest algorithm. This function takes the input dataset as a parameter and returns a new dataset containing only the selected top 'k' features based on their importance scores. The transform function aims to reduce the dimensionality of the data by selecting the most significant features, thereby improving the overall performance of machine learning models that train on the selected features.
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