ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing

arXiv:2403.03812v1 Announce Type: new
Abstract: Used car pricing is a critical aspect of the automotive industry, influenced by many economic factors and market dynamics. With the recent surge in online marketplaces and increased demand for used cars, accurate pricing would benefit both buyers and sellers by ensuring fair transactions. However, the transition towards automated pricing algorithms using machine learning necessitates the comprehension of model uncertainties, specifically the ability to flag predictions that the model is unsure about. Although recent literature …

abstract arxiv automotive benefit car cars cs.ai cs.lg demand dynamics economic fair however industry market marketplaces pricing regression tabular transactions transition type