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What is Polynomial Regression Analysis and Overfitting about?

The assignment explores polynomial regression for damped oscillation, demonstrating that a degree 3 polynomial yields the minimum test error of 0.09 while indicating signs of overfitting at higher degrees. It also analyzes the impact of varying noise levels and data points, concluding that more data helps reduce overfitting. Lastly, the use of L2 regularization is shown to decrease test error while increasing training error, with an optimal alpha value identified at approximately 0.02.

Author

Abhigyan Singh

Language

EN