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  3. Ensemble Methods in Python

Exercise

K-nearest neighbors for mushrooms

The Gaussian Naive Bayes classifier did a really good job for being an initial model. Let's now build a new model to compare it against the Naive Bayes.

In this case, the algorithm to use is a 5-nearest neighbors classifier. As the dummy features create a high-dimensional dataset, use the Ball Tree algorithm to make the model faster. Let's see how this model performs!

Instructions

100 XP
  • Build a KNeighborsClassifier with 5 neighbors and algorithm = 'ball_tree' (to expedite the processing).
  • Fit the model to the training data.
  • Evaluate the performance on the test set using the accuracy score.