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  3. Introduction to PySpark

Exercise

Evaluate the model

Remember the test data that you set aside waaaaaay back in chapter 3? It's finally time to test your model on it! You can use the same evaluator you made to fit the model.

Instructions

100 XP
  • Use your model to generate predictions by applying best_lr.transform() to the test data. Save this as test_results.
  • Call evaluator.evaluate() on test_results to compute the AUC. Print the output.