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This example demonstrates the problems of underfitting and overfitting and how we can use linear regression with polynomial features to approximate nonlinear functions. The plot shows the function
sklearn.linear_model.LinearRegression — scikit-learn 1.4.1
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Overfitting vs Underfitting in Machine Learning: Everything You
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3.4. Validation curves: plotting scores to evaluate models