Exercise

KNN on non-scaled data

Let's first take a look at the accuracy of a K-nearest neighbors model on the wine dataset without standardizing the data. The knn model as well as the X and y data and labels sets have been created already. Most of this process of creating models in scikit-learn should look familiar to you.

Instructions

100 XP

Split the dataset into training and test sets using train_test_split().
Use the knn model's fit() method on the X_train data and y_train labels, to fit the model to the data.
Print out the knn model's score() on the X_test data and y_test labels to evaluate the model.

Take Hint (-30 XP)