A Repost of a CitizenNet Blog Post about Random Forests, Neural Networks, and Ensembles
Behind the scenes, a robust prediction system builds the targets for the project. This prediction system is trained on past behavior, which it then uses to predict how a future (unknown) project may be best targeted. One of the components of the prediction system is a classifier, which is a currently an ensemble of both Neural Networks and Random Forest classifiers. This blog post aims to illustrate the basics of these methods.