Model Establishment of Decision Tree Algorithm and Its Application in Vehicle Fault Prediction Analysis

In this paper, the basic principle and optimization strategy of decision tree algorithm are described. The model is embedded into x software as an independent sub-module. On the premise of the analysis results of the previous failure law, the fault mode, grade and treatment mode of the vehicle are predicted through the setting of specific vehicle driving parameters. The results of the model test show that it can predict and analyze the immediate failure of the vehicle very well, and improve the precision and efficiency of vehicle support.