Baseline analysis for different ensemble algorithms

Photo by Johann Siemens on Unsplash

Because of its versatility and accuracy, ensemble learning methods are widely used in a variety of machine learning applications. Those two characteristics increased the popularity of ensemble methods and the development of different specific libraries. Among those libraries can be found the general-purpose Scikit-learn library implementation of random forest, the originally developed at Microsoft…