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The scikit-learn library contains a lot of efficient tools for machine learning and statistical modeling including classification, regression, clustering, and dimensionality reduction. In this article, I’m happy to share with you the 5 best new features in the latest version of the Scikit-Learn library. This version supports Python versions 3.6 to 3.9 years old. The new features include a new evaluation metric for a regression problem called Mean Absolute Percentage Error(MAPE) and a new method for feature selection.