Predictive Modeling of Sailboat Prices via Decision Tree Regression: A Comparative Analysis of Monohulled and Catamaran Vessels

By progressively partitioning the dataset based on its characteristics, it is possible to divide the dataset into several smaller subsets, with each subset corresponding to a node in the decision tree. Ultimately, a complete decision tree is generated, which is used to predict the regression model of sailboat prices and the aforementioned influencing factors. The calculated results show that the MSE for Monohulled Sailboats is 0.0021, with an R2 of 0.6563, while the MSE for Catamarans is 0.0017, with an R2 of 0.6374. The error analysis chart is illustrated below.