develop both a bagging and boosting ensemble learning model of

your choice to produce two dry beans classication models. You will then compare the performance of the chosen

ensemble learning models with one another, and to the performance a single machine learning model instance

of the machine learning approach used as the individual members of the bagging ensemble. As an example, if

you decide to implement a random forest, then the performance of the bagging and boosting ensembles will also

be compared to that of an individual classication tree.