FAULT ROOT CAUSE IDENTIFICATION METHOD AND APPARATUS AND DEVICE

This application discloses a fault root cause identification method, apparatus, and device. For a failure flow that occurs when a connectivity fault for access in a network occurs, a target success flow that has a high similarity with the failure flow is determined from a plurality of success flows in the network based on the failure flow. Then, a target fault root cause of the failure flow is obtained based on the failure flow, the target success flow, and a trained first machine learning model. In this way, the target success flow related to the failure flow is determined from the plurality of success flows in the network, and the first machine learning model trained by using a large quantity of success flows and failure flows whose feature indicators are slightly different from each other is used, so that a difference between feature indicators of a current failure flow and feature indicators of the target success flow can be accurately learned, and the target fault root cause of the failure flow can be obtained based on the slight difference. Therefore, the fault root cause of the connectivity fault in the network can be accurately identified, thereby reducing network maintenance costs, and improving user experience in using the network.