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Exercise

Using PCA

In this exercise, you'll apply PCA to the wine dataset, to see if you can increase the model's accuracy.

Instructions

100 XP
  • Instantiate a PCA object.
  • Define the features (X) and labels (y) from wine, using the labels in the "Type" column.
  • Apply PCA to X_train and X_test, ensuring no data leakage, and store the transformed values as pca_X_train and pca_X_test.
  • Print out the .explained_variance_ratio_ attribute of pca to check how much variance is explained by each component.