Nonparametric models outperform traditional methods in predicting housing prices accurately.
The researchers compared two types of models to predict prices in South Africa. They found that nonparametric models, which don't assume a specific shape for the data, were more accurate than parametric models that do. This means that the nonparametric models were better at predicting prices in the real world.