Prediction of income with our groups of features.

Pearson correlation (left columns) and Mean Average Error (right columns) between income and our models on 10 fold cross-validation using three different regression methods: Linear regression (LR), Support Vector Machines with RBF kernel (SVM) and Gaussian Processes (GP) and sets of features described in the User Features section.