Training a model with PCA

Now that you have run PCA on the wine dataset, you'll finally train a KNN model using the transformed data.

This exercise is part of the course

Preprocessing for Machine Learning in Python

Fit the knn model to the PCA-transformed features, pca_X_train, and training labels, y_train.
Print the test set accuracy of the knn model using pca_X_test and y_test.

Have a go at this exercise by completing this sample code.

# Fit knn to the training data
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# Score knn on the test data and print it out
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