Using the best results

While it is interesting to analyze the results of our grid search, our final goal is practical in nature; we want to make predictions on our test set using our estimator object.

We can access this object through the best_estimator_ property of our grid search object.

In this exercise we will take a look inside the best_estimator_ property and then use this to make predictions on our test set for credit card defaults and generate a variety of scores. Remember to use predict_proba rather than predict since we need probability values rather than class labels for our roc_auc score. We use a slice [:,1] to get probabilities of the positive class.

You have available the X_test and y_test datasets to use and the grid_rf_class object from previous exercises.

Check the type of the best_estimator_ property.
Use the best_estimator_ property to make predictions on our test set.
Generate a confusion matrix and ROC_AUC score from our predictions.

Take Hint (-30 XP)

Exercise

Using the best results

Instructions