Description
We present a machine learning framework using ensemble learning to combine models developed by multiple analysts for distinct subsets of a large feature space. We apply the framework to retail sales data, but its design can accommodate other types of target variables. This is a novel application of ensemble learning since it addresses both analytical and organizational challenges.