Visualizing Variable Contributions for Improved Second-Hand Sailboat Listing Price Prediction

When establishing the model of the five methods in the previous section, an error analysis chart was drawn to test the robustness of the model. This paper further visualizes the contribution of each independent variable to the model as a bar chart, and converts the sensitivity of each variable into a numerical bar chart, to explore the impact of influencing factors on the listing price of second-hand sailboats. The height of each bar in the bar chart represents the contribution of the independent variable, that is, the degree of influence of the independent variable on the model's prediction results. This method can intuitively display the influence of different independent variables and allow us to identify the most important and secondary independent variables. By analyzing the bar chart, we can gain a deeper understanding of the characteristics and performance of the model, and determine which independent variables should be prioritized for building a better model.