Price prediction model for different types of sailboats based on XGBoost algorithm

Sailboats are a popular type of luxury goods whose values vary depending on a range of factors, such as their age, condition, and market conditions. Further, monohull and catamaran sailboats are two types of sailboats. The characteristics of these two types of sailboats are often different. Due to their more features, the process of predicting their prices is more complicated. For this reason, this paper builds a full-flow model based on XGBoost from data pre-processing to data prediction in order to predict sailboat prices in a comprehensive and integrated way. Experiments show that the model designed in this paper has the best MSE for both single and twin boats in the comparison algorithm. And the accuracy gap is the smallest and the robustness is the best when predicting for single and double boats.