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  3. Dimensionality Reduction in Python

Exercise

Adjusting the regularization strength

Your current Lasso model has an \(R^2\) score of 84.7%. When a model applies overly powerful regularization it can suffer from high bias, hurting its predictive power.

Let's improve the balance between predictive power and model simplicity by tweaking the alpha parameter.

Instructions

100 XP
  • Find the highest value for alpha that gives an \(R^2\) value above 98% from the options: 1, 0.5, 0.1, and 0.01.