Tuned SVR with feature engineering and scaling achieves R2 0.723 on California Housing, a 0.123 gain over prior reports driven mainly by proper preprocessing.
House price prediction: Hedonic price model vs. artificial neural network
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Optimised Support Vector Regression for California Housing Price Prediction: The Critical Role of Feature Engineering and Hyperparameter Tuning
Tuned SVR with feature engineering and scaling achieves R2 0.723 on California Housing, a 0.123 gain over prior reports driven mainly by proper preprocessing.