Exercise

Using PCA

Let's apply PCA to the wine dataset, to see if we can get an increase in our model's accuracy.

Instructions

100 XP

Set up the PCA object. You'll use PCA on the wine dataset minus its label for Type, stored in the variable wine_X.
Apply PCA to wine_X using pca's fit_transform method and store the transformed vector in transformed_X.
Print out the explained_variance_ratio_ attribute of pca to check how much variance is explained by each component.

Take Hint (-30 XP)