Optimal Hyperplane Regression for Predicting Sailboat Prices: A Comparative Analysis of Monohulls and Catamarans

By finding an optimal hyperplane that separates data points of different classes and maximizes the distance (i.e., 'margin') between the hyperplane and the nearest data points, a regression model is fitted to predict sailboat prices based on the aforementioned factors. The computed results show that the MSE for Monohulled Sailboats is 0.5121 and the R2 is 0.0365, while for Catamarans, the MSE is 0.6400 and the R2 is 0.768. The error analysis plot is shown below. The language used in this translation is characterized by academic style and advanced vocabulary, without any omission in translation.