In classification with the boosting model, we'll use the AdaBoostClassifier object. Here, we'll also use 50 estimators to combine the individual predictions. The learning rate that we will use here is 0.1, which is another hyperparameter for this model.
The following screenshot shows the code and the confusion matrix:
Now, we will compare the four models as shown in the following screenshot:
The preceding screenshot shows the similar accuracies for the four models, but the most important metric for this particular application ...