摘要:In this paper we adopt two exploratory modelling techniques: Model Trees and Multivariate Adaptive Regression Splines. The objective is the building of two sale price prediction models in order to highlight possible market segments not detectable a priori . We show how these novel procedures can help to understand complex patterns and interactions among predictors in real estate appraisal.