Visualizing Variable Contribution for Sensitivity Analysis and Model Optimization in Decision Tree Regression

Therefore, visualizing the contribution of each variable as a bar chart is a practical tool that is useful for sensitivity analysis and optimizing model performance. In a decision tree regression model, the higher the contribution of a particular independent variable, the greater its impact on the model's predicted outcome, indicating a stronger relationship between the independent variable and the dependent variable. Thus, comparing the contribution of different independent variables through visualization with a bar chart is essentially evaluating the sensitivity of the model output to the uncertainty of input parameters and selecting the most relevant independent variables to optimize model performance. The trend of the model obtained through sensitivity testing also confirms the rationality and accuracy of the second-hand sailboat price evaluation model.