AI RESEARCH
Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
arXiv CS.LG
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ArXi:2605.08660v1 Announce Type: new In the recent literature, Vector Regression (SVR) has been cited as one of the weakest performers on the California Housing benchmark dataset, with Preethi specifically ranking it last among the algorithms they tested, reporting an R2 of only 0.60. This paper examines whether the previously reported performance reflects experimental configuration choices rather than an inherent algorithmic limitation.