For the following dataset, show how an AdaBoost classifier works with $4$ classifiers. For the individual classifiers, use a single variable decision tree that splits the data on a single variable. For each loop iteration, report the following variables $lo{n}_t,{}_t,AAi{D}_t(i).$

Calculate the precision, recall, and accuracy of the final voting classifier on the training data. Compare these metrics with the single variable decision trees classifiers.

$(15$ points$)$