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Exercise

Stacked predictions for app ratings

Once the stacking estimator is built you can fit it to the training set. Then, it will be ready for step 5: use the stacked ensemble for predictions.

The stacking classifier is available to you as clf_stack.

Let's obtain the final predictions and see if there is any improvement in performance thanks to stacking.

Instructions

100 XP
  • Fit the stacking classifier on the training set.
  • Calculate the final predictions from the stacking estimator on the test set.
  • Evaluate the performance on the test set using the accuracy score.